2020

Busch M., Dirsch K.:
Finding 1-Day Vulnerabilities in Trusted Applications using Selective Symbolic Execution
Workshop on Binary Analysis Research (BAR) 2020 (San Diego, CA, 23. Februar 2020 - 23. Februar 2020)
DOI: 10.14722/bar.2020.23014
Busch M., Westphal J., Müller T.:
Unearthing the TrustedCore: A critical review on huawei's trusted execution environment
14th USENIX Workshop on Offensive Technologies, WOOT 2020, co-located with USENIX Security 2020 (, 11. April 2020)
In: WOOT 2020 - 14th USENIX Workshop on Offensive Technologies, co-located with USENIX Security 2020 2020
Felsner L., Käppler S., Maier A., Riess C.:
Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography
In: IEEE Transactions on Computational Imaging (2020), S. 625 - 639
ISSN: 2333-9403
DOI: 10.1109/TCI.2020.2964217
Felsner L., Würfl T., Syben-Leisner C., Roser P., Preuhs A., Maier A., Riess C.:
Reconstruction of Voxels with Position- and Angle-Dependent Weightings
The 6th International Conference on Image Formation in X-Ray Computed Tomography (Online meeting, 3. August 2020 - 7. August 2020)
Fleischer F., Busch M., Kuhrt P.:
Memory corruption attacks within Android TEEs: A case study based on OP-TEE
15th International Conference on Availability, Reliability and Security, ARES 2020 (Online, 25. August 2020 - 28. August 2020)
In: ACM International Conference Proceeding Series 2020
DOI: 10.1145/3407023.3407072
Freiling F., Tavakoli Kolagari R., Auernhammer K.:
Efficient Black-Box Search for Adversarial Examples using Relevance Masks
2020 Workshop on DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Security, DYNAMICS 2020 (Lexington, MA, Virtual, Online, 7. Dezember 2020 - 7. Dezember 2020)
In: DYNAMICS '20: Proceedings of the 2020 Workshop on DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Security, New York, NY: 2020
DOI: 10.1145/3477997.3478013
Groß T., Dirauf R., Freiling F.:
Systematic Analysis of Browser History Evidence
13th International Conference on Systematic Approaches to Digital Forensic Engineering (SADFE) (New York, 15. Mai 2020 - 15. Mai 2020)
In: IEEE (Hrsg.): 2020 13th International Conference on Systematic Approaches to Digital Forensic Engineering (SADFE) 2020
DOI: 10.1109/SADFE51007.2020.00010
Hantke F., Dewald A.:
How can data from fitness trackers be obtained and analyzed with a forensic approach?
5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020 (, 7. September 2020 - 11. September 2020)
In: Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020 2020
DOI: 10.1109/EuroSPW51379.2020.00073
Hofmann F., Freiling F.:
Personalisierte Preise und das Datenschutzrecht. Anforderungen an die datenschutzrechtliche Einwilligung
In: Zeitschrift für Datenschutz (2020), S. 331-335
ISSN: 2192-5593
Kalysch A.:
Android Application Hardening: Attack Surface Reduction and IP Protection Mechanisms (Dissertation, 2020)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/14149
Kalysch A., Deutel M., Müller T.:
Template-based Android inter-process communication fuzzing
ARES '20: The 15th International Conference on Availability, Reliability and Security (Virtual Event, Dublin, Ireland, 25. August 2020 - 28. August 2020)
In: Melanie Volkamer, Christian Wressnegger (Hrsg.): Proceedings of the 15th International Conference on Availability, Reliability and Security, New York, United States: 2020
DOI: 10.1145/3407023.3407052
URL: https://dl.acm.org/doi/10.1145/3407023.3407052
Kalysch A., Schilling J., Müller T.:
On the Evolution of Security Issues in Android App Versions
In: Jianying Zhou, Mauro Conti, Chuadhry Mujeeb Ahmed, Man Ho Au, Lejla Batina, Zhou Li, Jingqiang Lin, Eleonora Losiouk, Bo Luo, Suryadipta Majumdar, Weizhi Meng, Martín Ochoa, Stjepan Picek, Georgios Portokalidis, Cong Wang, Kehuan Zhang (Hrsg.): ACNS: International Conference on Applied Cryptography and Network Security, Cham, Switzerland: Springer Nature Switzerland AG, 2020, S. 523 - 541 (Lecture Notes in Computer Science)
ISBN: 978-3-030-61637-3
DOI: 10.1007/978-3-030-61638-0_29
URL: https://link.springer.com/chapter/10.1007/978-3-030-61638-0_29
Latzo T., Brost J., Freiling F.:
BMCLeech: Introducing Stealthy Memory Forensics to BMC
In: Forensic Science International: Digital Investigation 32 (2020)
ISSN: 2666-2817
DOI: 10.1016/j.fsidi.2020.300919
Lorch B., Maier A., Riess C.:
Reliable JPEG Forensics via Model Uncertainty
IEEE International Workshop on Information Forensics and Security (online, 6. Dezember 2020 - 11. Dezember 2020)
DOI: 10.1109/wifs49906.2020.9360893
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Lorch-BLR.pdf
Maier A., Christlein V., Breininger K., Wuerfl T., Unberath M., Rieß C.:
Bildanalyse
In: Günther Görz, Ute Schmid, Tanya Braun (Hrsg.): Handbuch der Künstichen Intelligenz, De Gruyter, 2020, S. 673--712
DOI: 10.1515/9783110659948-015
Maier A., Lorch B., Riess C.:
Toward Reliable Models For Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks
IEEE International Conference on Image Processing (, 25. Oktober 2020 - 28. Oktober 2020)
DOI: 10.1109/icip40778.2020.9191121
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Maier-BNN.pdf
Maier D., Erb H., Mullan P., Haupert V.:
Camera Fingerprinting Authentication Revisited
RAID 2020 (Donostia / San Sebastian, 14. Oktober 2020 - 16. Oktober 2020)
In: International Symposium on Research in Attacks, Intrusions and Defenses, Cham, Switzerland: 2020
Matern F., Riess C., Stamminger M.:
Depth Map Fingerprinting and Splicing Detection
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Barcelona, 4. Mai 2020 - 8. Mai 2020)
In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020
DOI: 10.1109/ICASSP40776.2020.9052979
Morgner P., Mai C., Koschate-Fischer N., Freiling F., Benenson Z.:
Security Update Labels: Establishing Economic Incentives for Security Patching of IoT Consumer Products
41st IEEE Symposium on Security and Privacy (S&P) (San Francisco, CA, 18. Mai 2020 - 20. Mai 2020)
In: IEEE (Hrsg.): Proceedings of the IEEE Symposium on Security and Privacy (S&P), May 2020 2020
DOI: 10.1109/SP40000.2020.00021
URL: https://www.computer.org/csdl/proceedings-article/sp/2020/349700a346/1j2LfHnkRPy
Mullan P., Riess C., Freiling F.:
Towards Open-Set Forensic Source Grouping on JPEG Header Information
In: Forensic Science International: Digital Investigation 32 (2020)
ISSN: 2666-2817
DOI: 10.1016/j.fsidi.2020.300916
Müller N., Müller T., Freiling F.:
Urheberrecht ./. Sicherheitsanalyse
SICHERHEIT 2020
In: Reinhardt, D., Langweg, H., Witt, B. C., Fischer, M (Hrsg.): SICHERHEIT 2020, Bonn: 2020
DOI: 10.18420/sicherheit2020_08
URL: https://dl.gi.de/handle/20.500.12116/31793
Palutke R., Block F., Reichenberger P., Stripeika D.:
Hiding Process Memory Via Anti-Forensic Techniques
In: Forensic Science International: Digital Investigation 33 (2020)
ISSN: 2666-2817
DOI: 10.1016/j.fsidi.2020.301012
Palutke R., Ruderich S., Wild M., Freiling F.:
HyperLeech: Stealthy System Virtualization with Minimal Target Impact through DMA-Based Hypervisor Injection
23rd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2020) (San Sebastian, 14. Oktober 2020 - 16. Oktober 2020)
In: USENIX (Hrsg.): Proceedings of the 23rd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2020) 2020
Open Access: https://www.usenix.org/system/files/raid20-palutke.pdf
URL: https://www.usenix.org/system/files/raid20-palutke.pdf
Prade P., Groß T., Dewald A.:
Forensic Analysis of the Resilient File System (ReFS) Version 3.4
DFRWS 2020 EU (Oxford, United Kingdom, 3. Juni 2020 - 5. Juni 2020)
In: Proceedings of the Seventh Annual DFRWS Europe 2020
DOI: 10.1016/j.fsidi.2020.300915
Pugliese G., Rieß C., Gassmann F., Benenson Z.:
Long-Term Observation on Browser Fingerprinting: Users’ Trackability and Perspective
In: Sciendo (Hrsg.): Proceedings on Privacy Enhancing Technologies (PoPETs), Volume 2020: Issue 2 2020
DOI: 10.2478/popets-2020-0041
URL: https://petsymposium.org/popets/2020/popets-2020-0041.pdf
Schirrmacher F., Lorch B., Stimpel B., Köhler T., Riess C.:
SR²: Super-Resolution With Structure-Aware Reconstruction
2020 IEEE International Conference on Image Processing (ICIP) (Online, 25. Oktober 2020 - 28. Oktober 2020)
DOI: 10.1109/ICIP40778.2020.9191253
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Schirrmacher-SR2.pdf
Schirrmacher F., Riess C., Köhler T.:
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
In: IEEE Transactions on Computational Imaging 6 (2020), S. 503--517
ISSN: 2333-9403
DOI: 10.1109/TCI.2019.2956888
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Schirrmacher-AQS.pdf
Schneider J., Milius S., Deifel HP., Freiling F.:
Unifying Metadata-Based Storage Reconstruction and Carving with LAYR
DFRWS 2020 USA (Virtual, 20. Juli 2020 - 24. Juli 2020)
In: Elsevier (Hrsg.): Forensic Science International: Digital Investigation 2020
DOI: 10.1016/j.fsidi.2020.301006
URL: https://www.sciencedirect.com/science/article/pii/S2666281720302559
Schneider J., Wolf J., Freiling F.:
Tampering with digital evidence is hard: The case of main memory images
DFRWS EU 2020 (Virtual, 25. März 2020 - 28. März 2020)
In: Elsevier (Hrsg.): Forensic Science International: Digital Investigation 2020
DOI: 10.1016/j.fsidi.2020.300924
URL: https://www.sciencedirect.com/science/article/pii/S2666281720300196
Spensky C., MacHiry A., Busch M., Leach K., Housley R., Kruegel C., Vigna G.:
TRUST.IO: Protecting Physical Interfaces on Cyber-physical Systems
2020 IEEE Conference on Communications and Network Security, CNS 2020 (ONLINE, 29. Juni 2020 - 1. Juli 2020)
In: 2020 IEEE Conference on Communications and Network Security, CNS 2020 2020
DOI: 10.1109/CNS48642.2020.9162246

Baer M., Oster N., Philippsen M.:
MutantDistiller: Using Symbolic Execution for Automatic Detection of Equivalent Mutants and Generation of Mutant Killing Tests
15th International Workshop on Mutation Analysis (Mutation 2020) (Porto, 24. Oktober 2020 - 24. Oktober 2020)
In: 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) 2020
DOI: 10.1109/ICSTW50294.2020.00055
URL: https://mutation-workshop.github.io/2020/
Feigl T., Gruner L., Mutschler C., Roth D.:
Real-Time Gait Reconstruction for Virtual Reality Using a Single Sensor
2020 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2020 (Ipojuca, Pernambuco, 9. November 2020 - 13. November 2020)
In: Adjunct Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2020 2020
DOI: 10.1109/ISMAR-Adjunct51615.2020.00037
Feigl T., Kram S., Woller P., Siddiqui RH., Philippsen M., Mutschler C.:
RNN-aided Human Velocity Estimation from a Single IMU
In: Sensors 13 (2020), S. 1-31
ISSN: 1424-8220
DOI: 10.3390/s20133656
URL: https://www.mdpi.com/1424-8220/20/13/3656
Feigl T., Porada A., Steiner S., Löffler C., Mutschler C., Philippsen M.:
Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-Scale Industry Environments
15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP 2020) (Valletta, 27. Februar 2020 - 29. Februar 2020)
In: Kadi Bouatouch, A. Augusto Sousa, Jose Braz (Hrsg.): Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, Portugal: 2020
DOI: 10.5220/0008989903070318
URL: http://www.grapp.visigrapp.org/
Jung F., Dashuber V., Philippsen M.:
Towards Collaborative and Dynamic Software Visualization in VR
15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP 2020) (Valletta, 27. Februar 2020 - 29. Februar 2020)
In: Andreas Kerren, Christophe Hurter, Jose Braz (Hrsg.): Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, Portugal: 2020
DOI: 10.5220/0008945201490156
URL: http://www.ivapp.visigrapp.org/
Kamp M., Philippsen M.:
Artifact for "Approximate Bit Dependency Analysis to Identify Program Synthesis Problems as Infeasible"
Zenodo (2020)
DOI: 10.5281/zenodo.4275482
(online publication)
Kreutzer P., Kraus S., Philippsen M.:
Language-Agnostic Generation of Compilable Test Programs
International Conference on Software Testing, Verification and Validation (ICST 2020) (Porto, 24. Oktober 2020 - 28. Oktober 2020)
In: Proceedings of the International Conference on Software Testing, Verification and Validation (ICST 2020) 2020
DOI: 10.1109/ICST46399.2020.00015
URL: https://i2git.cs.fau.de/i2public/publications/-/raw/master/ICST20.pdf
Ott F., Feigl T., Löffler C., Mutschler C.:
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (Seattle, WA, 16. Juni 2020 - 18. Juni 2020)
In: Computer Vision Foundation (CVF) (Hrsg.): Joint Workshop on Long-Term Visual Localization, Visual Odometry and Geometric and Learning-based SLAM 2020
DOI: 10.1109/cvprw50498.2020.00029
URL: http://openaccess.thecvf.com/content_CVPRW_2020/html/w3/Ott_ViPR_Visual-Odometry-Aided_Pose_Regression_for_6DoF_Camera_Localization_CVPRW_2020_paper.html
Redzepagic A., Löffler C., Feigl T., Mutschler C.:
A Sense of Quality for Augmented Reality Assisted Process Guidance
International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (Ipojuca, Pernambuco, 9. November 2020 - 13. November 2020)
In: IEEE Proc. International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) 2020
DOI: 10.1109/ISMAR-Adjunct51615.2020.00046

Alappat C., Hofmann J., Hager G., Fehske H., Bishop AR., Wellein G.:
Understanding HPC benchmark performance on intel broadwell and cascade lake processors
35th International Conference on High Performance Computing, ISC High Performance 2020 (Frankfurt, 22. Juni 2020 - 25. Juni 2020)
In: Ponnuswamy Sadayappan, Bradford L. Chamberlain, Guido Juckeland, Hatem Ltaief (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-50743-5_21
Can Y., Yaz O., Fey D.:
Disjoint Sum of Products by Orthogonalizing Difference-Building circle minus
In: Open Engineering 10 (2020), S. 586-594
ISSN: 2391-5439
DOI: 10.1515/eng-2020-0067
Fey D., Karl W., Ungerer T.:
Memristoren für zukünftige Rechnersysteme
In: Informatik-Spektrum (2020)
ISSN: 0170-6012
DOI: 10.1007/s00287-020-01261-8
Fey D., Reuben JR.:
Direct state transfer in MLC based memristive ReRAM devices for ternary computing
24th IEEE European Conference on Circuit Theory and Design, ECCTD 2020 (Sofia, 7. September 2020 - 10. September 2020)
In: ECCTD 2020 - 24th IEEE European Conference on Circuit Theory and Design 2020
DOI: 10.1109/ECCTD49232.2020.9218323
Hofmann J., Alappat C., Hager G., Fey D., Wellein G.:
Bridging the architecture gap: Abstracting performance-relevant properties of modern server processors
In: Supercomputing Frontiers and Innovations 7 (2020), S. 54-78
ISSN: 2409-6008
DOI: 10.14529/jsfi200204
Hosseinzadeh S., Biglari M., Fey D.:
TReMo: A Model for Ternary ReRAM-Based Memories with Adjustable Write-Verification Capabilities
In: 2020 23rd Euromicro Conference on Digital System Design (DSD) 2020
DOI: 10.1109/DSD51259.2020.00019
URL: https://ieeexplore.ieee.org/document/9217865
Jordan H., Gschwandtner P., Thoman P., Zangerl P., Hirsch A., Fahringer T., Heller T., Fey D.:
The allscale framework architecture
In: Parallel Computing (2020), Art.Nr.: 102648
ISSN: 0167-8191
DOI: 10.1016/j.parco.2020.102648
Knödtel J., Fritscher M., Reiser D., Fey D., Breiling M., Reichenbach M.:
A Model-to-Circuit Compiler for Evaluation of DNN Accelerators based on Systolic Arrays and Multibit Emerging Memories
9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020 (Bremen, 7. September 2020 - 9. September 2020)
In: 9th International Conference on Modern Circuits and Systems Technologies, {MOCAST} 2020, Bremen, Germany, September 7-9, 2020 2020
DOI: 10.1109/MOCAST49295.2020.9200241
Lengauer C., Apel S., Bolten M., Chiba S., Rüde U., Teich J., Größlinger A., Hannig F., Köstler H., Claus L., Grebhahn A., Groth S., Kronawitter S., Kuckuk S., Rittich H., Schmitt C., Schmitt J.:
ExaStencils: Advanced multigrid solver generation
In: Hans-Joachim Bungartz, Severin Reiz, Benjamin Uekermann, Philipp Neumann, Wolfgang E. Nagel (Hrsg.): Lecture notes in computational science and engineering, Cham: Springer, 2020, S. 405-452 (Software for Exascale Computing SPPEXA 2016 – 2019, Bd.136)
ISBN: 978-3-030-47955-8
DOI: 10.1007/978-3-030-47956-5
URL: https://library.oapen.org/bitstream/handle/20.500.12657/41289/2020_Book_SoftwareForExascaleComputing-S.pdf?sequence=1#page=411
Mayr M., Stumpf M., Nicolaou A., Seuret M., Maier A., Christlein V.:
Spatio-Temporal Handwriting Imitation
European Conference on Computer Vision (Online, 23. August 2020 - 28. August 2020)
DOI: 10.1007/978-3-030-68238-5_38
URL: https://link.springer.com/chapter/10.1007/978-3-030-68238-5_38
Rachuj S., Fey D., Reichenbach M.:
Impact of Performance Estimation on Fast Processor Simulators
12th EAI International Conference on Simulation Tools and Techniques, SIMUTOOLS 2020 (Guiyang / Online, 28. August 2020 - 30. August 2020)
In: Houbing Song; Dingde Jiang (Hrsg.): Simulation Tools and Techniques 2020
DOI: 10.1007/978-3-030-72795-6_7
URL: https://link.springer.com/chapter/10.1007/978-3-030-72795-6_7
Reuben JR.:
Binary addition in resistance switching memory array by sensing majority
In: Micromachines 11 (2020), Art.Nr.: 496
ISSN: 2072-666X
DOI: 10.3390/MI11050496
Reuben JR.:
Rediscovering majority logic in the post-CMOS era: A perspective from in-memory computing
In: Journal of Low Power Electronics and Applications 10 (2020), S. 1-15
ISSN: 2079-9268
DOI: 10.3390/jlpea10030028
Reuben JR., Biglari M., Fey D.:
Incorporating Variability of Resistive RAM in Circuit Simulations Using the Stanford-PKU Model
In: IEEE Transactions on Nanotechnology 19 (2020), S. 508-518
ISSN: 1536-125X
DOI: 10.1109/TNANO.2020.3004666
Reuben JR., Pechmann S.:
A parallel-friendly majority gate to accelerate in-memory computation
31st IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2020 (Manchester, 6. Juli 2020 - 8. Juli 2020)
In: Frank Hannig, Javier Navaridas, Dirk Koch, Ameer Abdelhadi (Hrsg.): Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors 2020
DOI: 10.1109/ASAP49362.2020.00025
Ringlein B., Abel F., Ditter A., Weiss B., Hagleitner C., Fey D.:
Programming Reconfigurable Heterogeneous Computing Clusters Using MPI with Transpilation
6th IEEE/ACM International Workshop on Heterogeneous High-Performance Reconfigurable Computing, H2RC 2020 (, 13. November 2020)
In: Proceedings of H2RC 2020: 6th International Workshop on Heterogeneous High-Performance Reconfigurable Computing, Held in conjunction with SC 2020: The International Conference for High Performance Computing, Networking, Storage and Analysis 2020
DOI: 10.1109/H2RC51942.2020.00006
Ringlein B., Abel F., Ditter A., Weiss B., Hagleitner C., Fey D.:
ZRLMPI: A Unified Programming Model for Reconfigurable Heterogeneous Computing Clusters
28th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2020 (Fayetteville, AR, 3. Mai 2020 - 6. Mai 2020)
In: Proceedings - 28th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2020 2020
DOI: 10.1109/FCCM48280.2020.00051
Talati N., Ben-Hur R., Wald N., Haj-Ali A., Prabahar JR., Kvatinsky S.:
mMPU—A Real Processing-in-Memory Architecture to Combat the von Neumann Bottleneck
In: Manan suri (Hrsg.): Applications of Emerging Memory Technology, Springer Singapore, 2020, S. 191-213 (Springer Series in Advanced Microelectronics, Bd.63)
ISBN: 978-981-13-8378-6
DOI: 10.1007/978-981-13-8379-3_8
URL: https://link.springer.com/chapter/10.1007/978-981-13-8379-3_8

Brost J., Egger C., Lai RWF., Schmid F., Schröder D., Zoppelt M.:
Threshold Password-Hardened Encryption Services
ACM CCS (Virtual Event, USA)
In: Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, New York, NY, USA: 2020
DOI: 10.1145/3372297.3417266
Eischer M., Distler T.:
Resilient Cloud-based Replication with Low Latency
21st International Middleware Conference, Middleware 2020 (, 7. Dezember 2020 - 11. Dezember 2020)
In: Middleware 2020 - Proceedings of the 2020 21st International Middleware Conference 2020
DOI: 10.1145/3423211.3425689
URL: https://www4.cs.fau.de/Publications/2020/eischer_20_middleware.pdf
Eischer M., Straßner B., Distler T.:
Low-Latency Geo-Replicated State Machines with Guaranteed Writes
7th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC 2020 (Heraklion, 27. April 2020 - 27. April 2020)
In: Proceedings of the 7th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC 2020 2020
DOI: 10.1145/3380787.3393686
URL: https://www4.cs.fau.de/Publications/2020/eischer_20_papoc.pdf
Gaukler M., Roppenecker G., Ulbrich P.:
Details and Proofs for: Stability Analysis of Multivariable Digital Control Systems with Uncertain Timing
IFAC World Congress 2020 (Berlin, 12. Juli 2020 - 17. Juli 2020)
Open Access: https://arxiv.org/abs/1911.02537
URL: https://arxiv.org/abs/1911.02537
(Techreport)
Gaukler M., Roppenecker G., Ulbrich P.:
Stability Analysis of Multivariable Digital Control Systems with Uncertain Timing
IFAC World Congress
In: IFAC-PapersOnLine 2020
DOI: 10.1016/j.ifacol.2020.12.1019
Gerhorst L., Reif S., Herzog B., Hönig T.:
EnergyBudgets: Integrating Physical Energy Measurement Devices into Systems Software
10th Brazilian Symposium on Computing Systems Engineering, SBESC (Virtual, Online, 24. November 2020 - 27. November 2020)
In: Proceedings of the 10th Brazilian Symposium on Computing Systems Engineering, SBESC 2020
DOI: 10.1109/SBESC51047.2020.9277849
URL: https://www4.cs.fau.de/Publications/2020/gerhorst_20_sbesc.pdf
Knödtel J., Fritscher M., Reiser D., Fey D., Breiling M., Reichenbach M.:
A Model-to-Circuit Compiler for Evaluation of DNN Accelerators based on Systolic Arrays and Multibit Emerging Memories
9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020 (Bremen, 7. September 2020 - 9. September 2020)
In: 9th International Conference on Modern Circuits and Systems Technologies, {MOCAST} 2020, Bremen, Germany, September 7-9, 2020 2020
DOI: 10.1109/MOCAST49295.2020.9200241
Kohler S., Herzog B., Honig T., Wenzel L., Plauth M., Nolte J., Polze A., Schröder-Preikschat W.:
Pinpoint the Joules: Unifying Runtime-Support for Energy Measurements on Heterogeneous Systems
10th IEEE/ACM International Workshop on Runtime and Operating Systems for Supercomputers, ROSS 2020 (, 13. November 2020)
In: Proceedings of ROSS 2020: 10th International Workshop on Runtime and Operating Systems for Supercomputers, Held in conjunction with SC 2020: The International Conference for High Performance Computing, Networking, Storage and Analysis 2020
DOI: 10.1109/ROSS51935.2020.00009
Lang C., Stilkerich I.:
Design and implementation of an escape analysis in the context of safety-critical embedded systems
In: ACM Transactions on Embedded Computing Systems 19 (2020), Art.Nr.: 6
ISSN: 1539-9087
DOI: 10.1145/3372133
Latzo T., Brost J., Freiling F.:
BMCLeech: Introducing Stealthy Memory Forensics to BMC
In: Forensic Science International: Digital Investigation 32 (2020)
ISSN: 2666-2817
DOI: 10.1016/j.fsidi.2020.300919
Palutke R., Ruderich S., Wild M., Freiling F.:
HyperLeech: Stealthy System Virtualization with Minimal Target Impact through DMA-Based Hypervisor Injection
23rd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2020) (San Sebastian, 14. Oktober 2020 - 16. Oktober 2020)
In: USENIX (Hrsg.): Proceedings of the 23rd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2020) 2020
Open Access: https://www.usenix.org/system/files/raid20-palutke.pdf
URL: https://www.usenix.org/system/files/raid20-palutke.pdf
Patel T., Wagenhäuser A., Eibel C., Hönig T., Zeiser T., Tiwari D.:
What does Power Consumption Behavior of HPC Jobs Reveal?: Demystifying, Quantifying, and Predicting Power Consumption Characteristics
34th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2020 (New Orleans, LA, 18. Mai 2020 - 22. Mai 2020)
In: Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020 2020
DOI: 10.1109/IPDPS47924.2020.00087
Reif S., Herzog B., Hügel F., Hönig T., Schröder-Preikschat W.:
Nearly symmetric multi-core processors
11th ACM SIGOPS Asia-Pacific Workshop on Systems, APSys 2020 (Tsukuba, 24. August 2020 - 25. August 2020)
In: APSys 2020 - Proceedings of the 2020 ACM SIGOPS Asia-Pacific Workshop on Systems 2020
DOI: 10.1145/3409963.3410486
Reif S., Herzog B., Pereira PG., Schmidt A., Büttner T., Hönig T., Schröder-Preikschat W., Herfet T.:
X-Leep: Leveraging Cross-Layer Pacing for Energy-Efficient Edge Systems
11th ACM International Conference on Future Energy Systems, e-Energy 2020 (Virtual, 22. Juni 2020 - 26. Juni 2020)
In: e-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems 2020
DOI: 10.1145/3396851.3402924
Reif S., Raffeck P., Janker H., Gerhorst L., Hönig T., Schröder-Preikschat W.:
Earl: Energy-Aware Reconfigurable Locks
In: ACM SIGBED Review 17 (2020), S. 24-29
ISSN: 1551-3688
DOI: 10.1145/3412821.3412825
URL: https://www4.cs.fau.de/Publications/2019/reif_19_ewili.pdf
Reif S., Raffeck P., Ulbrich P., Schröder-Preikschat W.:
Work In Progress: Control-Flow Migration for Data-Locality Optimisation in Multi-Core Real-Time Systems
2020 IEEE Real-Time Systems Symposium (RTSS) (Houston, TX, 1. Dezember 2020 - 4. Dezember 2020)
In: IEEE (Hrsg.): 2020 IEEE Real-Time Systems Symposium (RTSS) 2020
DOI: 10.1109/RTSS49844.2020.00041
Reif S., Schröder-Preikschat W.:
Precisely timed task execution
23rd IEEE International Symposium on Real-Time Distributed Computing, ISORC 2020 (Nashville, TN, 19. Mai 2020 - 21. Mai 2020)
In: Proceedings - 2020 IEEE 23rd International Symposium on Real-Time Distributed Computing, ISORC 2020 2020
DOI: 10.1109/ISORC49007.2020.00012
Rheindt S., Maier S., Pohle N., Nolte L., Lenke O., Schmaus F., Wild T., Schröder-Preikschat W., Herkersdorf A.:
DySHARQ: Dynamic Software-Defined Hardware-Managed Queues for Tile-Based Architectures
In: International Journal of Parallel Programming (2020)
ISSN: 0885-7458
DOI: 10.1007/s10766-020-00687-7
Ripperger S., Carter G., Page R., Duda N., Kölpin A., Weigel R., Hartmann M., Nowak T., Thielecke J., Schadhauser M., Robert J., Herbst S., Meyer-Wegener K., Wägemann P., Schröder-Preikschat W., Cassens B., Dressler F., Mayer F., Kapitza R.:
Thinking small: next-generation sensor networks close the size gap in vertebrate biologging
In: Plos Biology (2020)
ISSN: 1544-9173
DOI: 10.1371/journal.pbio.3000655
Schmaus F., Maier S., Langer T., Rabenstein J., Bauer L., Henkel J., Schröder-Preikschat W.:
Towards Taming the Computing Continuum: System Software for Future Many-Core Architectures
HiPEAC 2020 (Bologna, 20. Januar 2020 - 22. Januar 2020)
Schmaus F., Maier S., Langer T., Rabenstein J., Hönig T., Bauer L., Henkel J., Schröder-Preikschat W.:
System Software for Resource Arbitration on Future Many-* Architectures
2nd Workshop on Resource Arbitration for Dynamic Runtimes (RADR)
In: 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 2020
DOI: 10.1109/IPDPSW50202.2020.00160
Teich J., Mahmoody P., Pourmohseni B., Roloff S., Schröder-Preikschat W., Wildermann S.:
Run-Time Enforcement of Non-functional Program Properties on MPSoCs
In: Jian-Jia Chen (Hrsg.): A Journey of Embedded and Cyber-Physical Systems, Springer, 2020
ISBN: 978-3-030-47487-4
DOI: 10.1007/978-3-030-47487-4

Ahmed J., Vesal S., Durlak F., Kaergel R., Ravikumar N., Rémy-Jardin M., Maier A.:
COPD classification in CT images using a 3D convolutional neural network
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, 15. März 2020 - 17. März 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Hrsg.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_8
Argüello-Vélez P., Arias-Vergara T., González-Rátiva MC., Orozco-Arroyave JR., Nöth E., Schuster ME.:
Acoustic characteristics of vot in plosive consonants produced by parkinson’s patients
23rd International Conference on Text, Speech, and Dialogue, TSD 2020 (Brno, 8. September 2020 - 11. September 2020)
In: Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-58323-1_33
Arias Vergara T., Arguello-Velez P., Vasquez Correa J., Nöth E., Schuster M., González-Rátiva MC., Orozco Arroyave JR.:
Automatic detection of Voice Onset Time in voiceless plosives using gated recurrent units
In: Digital Signal Processing 104 (2020), Art.Nr.: 102779
ISSN: 1051-2004
DOI: 10.1016/j.dsp.2020.102779
Arias-Vergara T., Klumpp P., Vasquez-Correa JC., Nöth E., Orozco-Arroyave JR., Schuster M.:
Multi-channel spectrograms for speech processing applications using deep learning methods
In: Pattern Analysis and Applications (2020)
ISSN: 1433-7541
DOI: 10.1007/s10044-020-00921-5
Aubreville M.:
Computer-Aided Tumor Diagnosis of Microscopy Images (Dissertation, 2020)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/13755
Aubreville M., Bertram CA., Donovan TA., Marzahl C., Maier A., Klopfleisch R.:
A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research
In: Scientific Data 7 (2020), Art.Nr.: 417
ISSN: 2052-4463
DOI: 10.1038/s41597-020-00756-z
Aubreville M., Bertram CA., Jabari S., Marzahl C., Klopfleisch R., Maier A.:
Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment - Learning New Tricks from Old Dogs
In: Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (Hrsg.): Bildverarbeitung für die Medizin 2020, Wiesbaden: Springer Vieweg, 2020, S. 1-7
ISBN: 9783658292669
DOI: 10.1007/978-3-658-29267-6_1
URL: https://arxiv.org/pdf/1911.10873.pdf
Aubreville M., Bertram CA., Marzahl C., Gurtner C., Dettwiler M., Schmidt A., Bartenschlager F., Merz S., Fragoso M., Kershaw O., Klopfleisch R., Maier A.:
Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region
In: Scientific Reports 10 (2020), Art.Nr.: 16447
ISSN: 2045-2322
DOI: 10.1038/s41598-020-73246-2
Bayer S., Spiske U., Geimer T., Luo J., Wells III WM., Ostermeier M., Fahrig R., Arya N., Bert C., Eyüpoglu IY., Maier A.:
An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process
Bildverarbeitung für die Medizin 2020 (Berlin, 15. März 2020 - 17. März 2020)
In: Springer (Hrsg.): Algorithmen – Systeme – Anwendungen. Proceedings des Workshops 2020
DOI: 10.1007/978-3-658-29267-6_32
Bayer S., Zhong X., Fu W., Ravikumar N., Maier A.:
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach
Bildgebung für die Medizin 2020 (Berlin, 15. März 2020 - 17. März 2020)
In: Springer (Hrsg.): Algorithmen – Systeme – Anwendungen. Proceedings des Workshops 2020
DOI: 10.1007/978-3-658-29267-6_67
Bergler C., Schmitt M., Maier A., Smeele S., Barth V., Nöth E.:
ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication
21th Annual Conference of the International Speech Communication Association: Cognitive Intelligence for Speech Processing, INTERSPEECH 2020 (Shanghai, China, 25. Oktober 2020 - 29. Oktober 2020)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 2020
DOI: 10.21437/Interspeech.2020-1316
Bertram CA., Aubreville M., Gurtner C., Bartel A., Corner SM., Dettwiler M., Kershaw O., Noland EL., Schmidt A., Sledge DD., Smedley RC., Thaiwong T., Kiupel M., Maier A., Klopfleisch R.:
Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent
In: Veterinary Pathology 57 (2020), S. 214-226
ISSN: 0300-9858
DOI: 10.1177/0300985819890686
URL: https://journals.sagepub.com/doi/10.1177/0300985819890686
Bertram CA., Aubreville M., Marzahl C., Maier A., Klopfleisch R.:
How Big is Big Enough?: A Large-Scale Histological Dataset of Mitotic Figures
Bildverarbeitung für die Medizin 2020 (Berlin, 17. März 2020 - 19. März 2020)
In: Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (Hrsg.): Bildverarbeitung für die Medizin 2020, Wiesbaden: 2020
DOI: 10.1007/978-3-658-29267-6_65
URL: https://link.springer.com/content/pdf/10.1007/978-3-658-29267-6_65.pdf
Bertram CA., Veta M., Marzahl C., Stathonikos N., Maier A., Klopfleisch R., Aubreville M.:
Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels
IMIMIC 2020, MIL3ID 2020, LABELS 2020 (Lima, 4. Oktober 2020 - 8. Oktober 2020)
In: Jaime Cardoso, Wilson Silva, Ricardo Cruz, Hien Van Nguyen, Badri Roysam, Nicholas Heller, Pedro Henriques Abreu, Jose Pereira Amorim, Ivana Isgum, Vishal Patel, Kevin Zhou, Steve Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Samaneh Abbasi, Diana Mateus, Emanuele Trucco (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-61166-8_22
Bootwala A., Breininger K., Maier A., Christlein V.:
Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval
In: Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm (Hrsg.): Bildverarbeitung für die Medizin 2020, Wiesbaden: Springer Vieweg, 2020, S. 144-149 (Informatik aktuell)
ISBN: 9783658292669
DOI: 10.1007/978-3-658-29267-6_30
Breininger K., Pfister M., Kowarschik M., Maier A.:
Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair
23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 (Lima, 4. Oktober 2020 - 8. Oktober 2020)
In: Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-59719-1_69
Chen S., Stromer D., Alnasser Alabdalrahim H., Schwab S., Weih M., Maier A.:
Automatic dementia screening and scoring by applying deep learning on clock-drawing tests
In: Scientific Reports 10 (2020), S. 1-11
ISSN: 2045-2322
DOI: 10.1038/s41598-020-74710-9
URL: https://www.nature.com/articles/s41598-020-74710-9
Chen S., Zhong X., Hu S., Dorn S., Kachelriess M., Lell M., Maier A.:
Automatic Multi-organ Segmentation in Dual Energy CT (DECT) with Dedicated 3D Fully Convolutional DECT Networks
In: Medical Physics 47 (2020), S. 552-562
ISSN: 0094-2405
DOI: 10.1002/mp.13950
Denzinger F., Wels M., Breininger K., Gülsün MA., Schöbinger M., Andre F., Buss SJ., Goerich J., Sühling M., Maier A.:
Automatic CAD-RADS Scoring using Deep Learning
23rd International Conference on Medical Image Computing and Computer Assisted Intervention (Lima, Peru, 4. Oktober 2020 - 8. Oktober 2020)
In: Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (Hrsg.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Cham: 2020
DOI: 10.1007/978-3-030-59725-2
Denzinger F., Wels M., Breininger K., Reidelshöfer A., Eckert J., Sühling M., Schmermund A., Maier A.:
Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics
BVM Workshop 2020 (Berlin, 15. März 2020 - 17. März 2020)
DOI: 10.1007/978-3-658-29267-6_44
Denzinger F., Wels M., Breininger K., Reidelshöfer A., Eckert J., Sühling M., Schmermund A., Maier A.:
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans
BVM Workshop 2020 (Berlin, 15. März 2020 - 17. Dezember 2019)
DOI: 10.1007/978-3-658-29267-6_42
URL: https://arxiv.org/abs/1912.06417
Eckert D., Vesal S., Ritschl L., Kappler S., Maier A.:
Deep learning-based denoising of mammographic images using physics-driven data augmentation
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, 15. März 2020 - 17. März 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Hrsg.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_21
Eyigoz E., Courson M., Sedeño L., Rogg K., Orozco-Arroyave JR., Nöth E., Skodda S., Trujillo N., Rodríguez M., Rusz J., Muñoz E., Cardona JF., Herrera E., Hesse E., Ibáñez A., Cecchi G., García AM.:
From discourse to pathology: Automatic identification of Parkinson's disease patients via morphological measures across three languages
In: Cortex 132 (2020), S. 191-205
ISSN: 0010-9452
DOI: 10.1016/j.cortex.2020.08.020
Fan F., Qiu J., Wang J., Valianos S., Farooq MM., Fu W., Kordon F., Maier A.:
Odin’s Eye – A Close Look at Gamification of Labelling of Ophthalmic Diseases
Joint Conference of the GMDS & CEN-IBS 2020 (Online Streaming, 6. September 2020 - 9. September 2020)
Felsner L., Käppler S., Maier A., Riess C.:
Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography
In: IEEE Transactions on Computational Imaging (2020), S. 625 - 639
ISSN: 2333-9403
DOI: 10.1109/TCI.2020.2964217
Felsner L., Würfl T., Syben-Leisner C., Roser P., Preuhs A., Maier A., Riess C.:
Reconstruction of Voxels with Position- and Angle-Dependent Weightings
The 6th International Conference on Image Formation in X-Ray Computed Tomography (Online meeting, 3. August 2020 - 7. August 2020)
Ferrer Riesgo CA., Nöth E.:
What Makes the Cepstral Peak Prominence Different to Other Acoustic Correlates of Vocal Quality?
In: Journal of Voice (2020)
ISSN: 0892-1997
DOI: 10.1016/j.jvoice.2019.01.004
Fu W., Breininger K., Pan Z., Maier A.:
Degenerating u-net on retinal vessel segmentation: What do we really need?
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, 15. März 2020 - 17. März 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Hrsg.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_7
Gaffling S.:
Volumetric Histology-3D-reconstruction of histological tissue slices for a better functional understanding
In: JOURNAL OF ANATOMY, HOBOKEN: 2020
Gao C., Farvardin A., Grupp R., Bakhtiarinejad M., Ma L., Thies M., Unberath M., Taylor R., Armand M.:
Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty
In: IEEE Transactions on Medical Robotics and Bionics 2 (2020), S. 437-446
ISSN: 2576-3202
DOI: 10.1109/TMRB.2020.3012460
Götz T., Schmidkonz C., Chen S., Al-Baddai S., Kuwert T., Lang EW.:
A deep learning approach to radiation dose estimation
In: Physics in Medicine and Biology 65 (2020), S. 035007-
ISSN: 0031-9155
DOI: 10.1088/1361-6560/ab65dc
Haase V., Hahn K., Schoendube H., Stierstorfer K., Maier A., Noo F.:
Single Material Beam Hardening Correction in CT Using an Analytical Energy Response Model
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Boston, MA, USA, 31. Oktober 2020 - 7. November 2020)
DOI: 10.1109/nss/mic42677.2020.9507774
Hariharan SG., Strobel N., Kaethner C., Kowarschik M., Fahrig R., Navab N.:
Data-driven estimation of noise variance stabilization parameters for low-dose X-ray images
In: Physics in Medicine and Biology 65 (2020), Art.Nr.: 225027
ISSN: 0031-9155
DOI: 10.1088/1361-6560/abbc82
Hoppe E., Thamm F., Koerzdoerfer G., Syben-Leisner C., Nittka M., Pfeuffer J., Meyer H., Maier A.:
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting
Bilderverarbeitung für die Medizin Algorithmen - Systeme - Anwendungen (Berlin, 15. März 2020 - 17. März 2020)
DOI: 10.1007/978-3-030-32248-9_11
Hoppe E., Wetzl J., Yoon SS., Schneider M., Stimpel B., Preuhs A., Maier A.:
DeepECG: Towards 3-D Continuous Cardiac MRI without ECG-Gating - Deep Learning based R-Wave Classification for Automated Cardiac Phase Binning
International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition (Sydney, 18. April 2020 - 23. April 2020)
Hoßbach J., Husvogt L., Kraus M., Fujimoto JG., Maier A.:
Deep OCT angiography image generation for motion artifact suppression
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, 15. März 2020 - 17. März 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Hrsg.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_55
Huang Y.:
Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle Tomography (Dissertation, 2020)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/13203
Huang Y., Gao L., Preuhs A., Maier A.:
Field of View Extension in Computed Tomography Using Deep Learning Prior
Bildverarbeitung für die Medizin (Berlin, 15. März 2020 - 17. März 2020)
In: Andreas Maier, Klaus Hermann Maier-Hein, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff (Hrsg.): Bildverarbeitung für die Medizin: Algorithmen – Systeme – Anwendungen 2020
DOI: 10.1007/978-3-658-29267-6_40
URL: https://arxiv.org/abs/1911.01178
Huang Y., Wang S., Guan Y., Maier A.:
Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning
In: Journal of Synchrotron Radiation (2020)
ISSN: 0909-0495
DOI: 10.1107/S160057752000017X
URL: https://onlinelibrary.wiley.com/iucr/doi/10.1107/S160057752000017X
Huang Z., Jiang Z., Hu Y., Zou D., Yu Y., Ren Q., Liu G., Lu Y.:
Retinal choroidal vessel imaging based on multi-wavelength fundus imaging with the guidance of optical coherence tomography
In: Biomedical Optics Express 11 (2020), S. 5212-5224
ISSN: 2156-7085
DOI: 10.1364/BOE.397750
Jaremenko C., Affronti E., Merklein M., Maier A.:
Temporal and spatial detection of the onset of local necking and assessment of its growth behavior
In: Materials 13 (2020), Art.Nr.: 2427
ISSN: 1996-1944
DOI: 10.3390/ma13112427
Jiang Z., Huang Z., Qiu B., Liu X., Meng X., You Y., Liu G., Zhou C., Yang K., Maier A., Ren Q., Lu Y.:
Comparative Study of Deep Learning Models for Optical Coherence Tomography Angiography
In: Biomedical Optics Express 11 (2020), S. 1216-1632
ISSN: 2156-7085
DOI: 10.1364/BOE.387807
Jordan S., Seuret M., Král P., Lenc L., Martínek J., Wiermann B., Schwinger T., Maier A., Christlein V.:
Re-Ranking for Writer Identification and Writer Retrieval
In: Document Analysis Systems, 2020, S. 572-586
ISBN: 9783030570576
DOI: 10.1007/978-3-030-57058-3_40
URL: https://arxiv.org/abs/2007.07101
Kacha A., Grenez F., Orozco Arroyave JR., Schoentgen J.:
Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech
In: Computer Speech and Language 59 (2020), S. 114-122
ISSN: 1095-8363
DOI: 10.1016/j.csl.2019.07.001
Kara DD., Ring M., Hennig F., Michelson G.:
Effects of Mild Traumatic Brain Injury on Stereopsis Detected by a Virtual Reality System: Attempt to Develop a Screening Test
In: Journal of Medical and Biological Engineering (2020)
ISSN: 1609-0985
DOI: 10.1007/s40846-020-00542-7
Karan B., Sahu SS., Orozco Arroyave JR., Mahto K.:
Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech
In: Biomedical Signal Processing and Control 61 (2020), Art.Nr.: 102018
ISSN: 1746-8094
DOI: 10.1016/j.bspc.2020.102018
Klumpp P., Arias Vergara T., Vasquez Correa J., Perez Toro PA., Hönig FT., Nöth E., Orozco-Arroyave JR.:
Surgical mask detection with deep recurrent phonetic models
21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020
DOI: 10.21437/Interspeech.2020-1723
Klumpp P., Arias Vergara T., Vásquez-Correa JC., Pérez-Toro PA., Hönig FT., Nöth E., Orozco-Arroyave JR.:
Surgical mask detection with deep recurrent phonetic models
Interspeech 2020
In: Interspeech 2020 2020
Klumpp P., Fritsch JD., Nöth E.:
ANN-based Alzheimer's disease classification from bag of words
13th ITG Conference on Speech Communication (Oldenburg, 10. Oktober 2018 - 12. Oktober 2018)
In: Speech Communication - 13th ITG-Fachtagung Sprachkommunikation 2020
Koch M.:
Artificial Intelligence based Methods for Atrial Fibrillation Ablation Procedures (Dissertation, 2020)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/16020
Kordon F., Fischer P., Privalov M., Swartman B., Schnetzke M., Franke J., Lasowski R., Maier A., Kunze H.:
Multi-Task Framework for X-Ray Guided Planning in Knee Surgery
Bildverarbeitung für die Medizin 2020 (Berlin, 15. März 2020 - 17. März 2020)
In: Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (Hrsg.): Bildverarbeitung für die Medizin 2020, Wiesbaden: 2020
DOI: 10.1007/978-3-658-29267-6_57
Kuhnert N., Maier A.:
With Semantics and Hidden Markov Models to an Adaptive Log File Parser
In: International Journal on Natural Language Computing (2020)
ISSN: 2319-4111
DOI: 10.5121/ijnlc.2019.8603
Kuhnert N., Pflueger L., Maier A.:
Prediction of MRI Hardware Failures based on Image Features using Ensemble Learning
Bildverarbeitung für die Medizin 2020 (Berlin, 15. März 2020 - 17. März 2020)
DOI: 10.1007/978-3-658-29267-6_28
Kuhnert N., Pflueger L., Maier A.:
Prediction of MRI Hardware Failures based on Image Features using Time Series Classification
Bildverarbeitung für die Medizin (Berlin, 15. März 2020 - 17. März 2020)
DOI: 10.1007/978-3-658-29267-6_27
Leipert M., Vogeler G., Seuret M., Maier A., Christlein V.:
The Notary in the Haystack – Countering Class Imbalance in Document Processing with CNNs
In: Xiang Bai, Dimosthenis Karatzas, Daniel Lopresti (Hrsg.): Document Analysis Systems, 2020, S. 246-261
ISBN: 9783030570576
DOI: 10.1007/978-3-030-57058-3_18
URL: https://arxiv.org/abs/2007.07943
Liu C., Huang Y., Maier J., Klein L., Kachelriess M., Maier A.:
Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (, 31. Oktober 2020 - 7. November 2020)
In: Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization 2020
Luckner C., Herbst M., Fuhrmann M., Ritschl L., Kappler S., Maier A.:
Combining 2-D and 3-D weight-bearing x-ray images: Application to preoperative implant planning in the knee
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, 15. März 2020 - 17. März 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Hrsg.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_74
Luckner C., Weber T., Herbst M., Ritschl L., Kappler S., Maier A.:
A phantom study on dose efficiency for orthopedic applications: Comparing slot-scanning radiography using ultra-small-angle tomosynthesis to conventional radiography
In: Medical Physics (2020)
ISSN: 0094-2405
DOI: 10.1002/mp.14680
Marzahl C., Aubreville M., Bertram CA., Gerlach S., Maier J., Voigt J., Hill J., Klopfleisch R., Maier A.:
Is crowd-algorithm collaboration an advanced alternative to crowd-sourcing on cytology slides?
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, 15. März 2020 - 17. März 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Hrsg.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_5
Marzahl C., Aubreville M., Bertram CA., Stayt J., Jasensky AK., Bartenschlager F., Fragoso-Garcia M., Barton AK., Elsemann S., Jabari S., Krauth J., Madhu P., Voigt J., Hill J., Klopfleisch R., Maier A.:
Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides
In: Scientific Reports 10 (2020), Art.Nr.: 9795
ISSN: 2045-2322
DOI: 10.1038/s41598-020-65958-2
Marzahl C., Bertram CA., Aubreville M., Petrick A., Weiler K., Gläsel AC., Fragoso M., Merz S., Bartenschlager F., Hoppe J., Langenhagen A., Jasensky AK., Voigt J., Klopfleisch R., Maier A.:
Are fast labeling methods reliable? a case study of computer-aided expert annotations on microscopy slides
23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 (Lima, 4. Oktober 2020 - 8. Oktober 2020)
In: Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-59710-8_3
Mayr M., Stumpf M., Nicolaou A., Seuret M., Maier A., Christlein V.:
Spatio-Temporal Handwriting Imitation
European Conference on Computer Vision (Online, 23. August 2020 - 28. August 2020)
DOI: 10.1007/978-3-030-68238-5_38
URL: https://link.springer.com/chapter/10.1007/978-3-030-68238-5_38
Meyer-Baese A., Foo S., Tahmassebi A., Meyer-Baese U., Amani AM., Götz T., Leithner D., Stadlbauer A., Pinker-Domenig K.:
Large-Scale Graph Networks and AI Applied to Medical Image Data Processing
Conference on Computational Imaging V
In: COMPUTATIONAL IMAGING V, BELLINGHAM: 2020
DOI: 10.1117/12.2557813
Miller GF., Vasquez Correa J., Nöth E.:
Assessing the dysarthria level of parkinson’s disease patients with gmm-ubm supervectors using phonological posteriors and diadochokinetic exercises
23rd International Conference on Text, Speech, and Dialogue, TSD 2020 (Brno, 8. September 2020 - 11. September 2020)
In: Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-58323-1_39
Nau MA., Nau M., Moult EM., Fujimoto JG., Maier A.:
Open source simulation of fixational eye drift motion in oct scans: Towards better comparability and accuracy in retrospective OCT motion correction
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, 15. März 2020 - 17. März 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Hrsg.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_56
Orozco-Arroyave JR., Vasquez Correa J., Klumpp P., Perez Toro PA., Escobar-Grisales D., Roth N., Ríos-Urrego CD., Strauß M., Carvajal-Castaño HA., Bayerl S., Castrillón-Osorio LR., Arias-Vergara T., Küderle A., López-Pabón FO., Parra-Gallego LF., Eskofier B., Gómez-Gómez LF., Schuster M., Nöth E.:
Apkinson: the smartphone application for telemonitoring Parkinson's patients through speech, gait and hands movement
In: Neurodegenerative Disease Management (2020)
ISSN: 1758-2024
DOI: 10.2217/nmt-2019-0037
Orozco-Arroyave JR., Vasquez Correa J., Nöth E.:
Current methods and new trends in signal processing and pattern recognition for the automatic assessment of motor impairments: the case of Parkinson's disease
In: Ayman El-Baz and Jasjit S Suri (Hrsg.): Neurological Disorders and Imaging Physics, Volume 5 Applications in dyslexia, epilepsy and Parkinson's, IOP, 2020
ISBN: 978-0-7503-2723-7
DOI: 10.1088/978-0-7503-2723-7ch8
URL: https://iopscience.iop.org/chapter/978-0-7503-2723-7/bk978-0-7503-2723-7ch8.pdf
Perez Toro PA., Vasquez Correa J., Arias Vergara T., Nöth E., Orozco-Arroyave JR.:
Nonlinear dynamics and Poincare sections to model gait impairments in different stages of Parkinson's disease
In: Nonlinear Dynamics 100 (2020), S. 3253-3276
ISSN: 0924-090X
DOI: 10.1007/s11071-020-05691-7
Preuhs A., Manhart M., Roser P., Hoppe E., Huang Y., Psychogios M., Kowarschik M., Maier A.:
Appearance Learning for Image-based Motion Estimation in Tomography
In: IEEE Transactions on Medical Imaging (2020)
ISSN: 0278-0062
DOI: 10.1109/TMI.2020.3002695
Preuhs A., Manhart M., Roser P., Stimpel B., Syben-Leisner C., Psychogios M., Kowarschik M., Maier A.:
Deep autofocus with cone-beam CT consistency constraint
Bildverarbeitung für die Medizin (Berlin, 15. März 2020 - 17. März 2020)
DOI: 10.1007/978-3-658-29267-6_34
URL: https://arxiv.org/pdf/1911.13162.pdf
Pérez-Toro PA., Vasquez Correa J., Arias Vergara T., Nöth E., Orozco Arroyave JR.:
Nonlinear dynamics and Poincaré sections to model gait impairments in different stages of Parkinson’s disease
In: Nonlinear Dynamics (2020)
ISSN: 0924-090X
DOI: 10.1007/s11071-020-05691-7
Qiu B., You Y., Huang Z., Meng X., Jiang Z., Zhou C., Liu G., Yang K., Ren Q., Lu Y.:
N2NSR-OCT: Simultaneous denoising and super-resolution in optical coherence tomography images using semisupervised deep learning
In: Journal of Biophotonics (2020)
ISSN: 1864-063X
DOI: 10.1002/jbio.202000282
Restrepo-Uribe JP., Roldan-Vasco S., Perez-Giraldo E., Orozco Arroyave JR., Orozco-Duque A.:
Electrophysiological and Mechanical Approaches to the Swallowing Analysis
7th Workshop on Engineering Applications, WEA 2020 (Bogota, 7. Oktober 2020 - 9. Oktober 2020)
In: Juan Carlos Figueroa-García, Fabián Steven Garay-Rairán, Germán Jairo Hernández-Pérez, Yesid Díaz-Gutierrez (Hrsg.): Communications in Computer and Information Science 2020
DOI: 10.1007/978-3-030-61834-6_24
Reymann M., Massanes F., Ritt P., Cachovan M., Kuwert T., Vija AH., Maier A.:
Feature Loss After Denoising of SPECT Projection Data using a U-Net
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (Boston, Massachusetts, 31. Oktober 2020 - 7. November 2020)
In: IEEE (Hrsg.): Feature Loss After Denoising of SPECT Projection Data using a U-Net 2020
DOI: 10.1109/nss/mic42677.2020.9508041
Rios-Urrego CD., Vasquez Correa J., Orozco Arroyave JR., Nöth E.:
Transfer learning to detect parkinson’s disease from speech in different languages using convolutional neural networks with layer freezing
23rd International Conference on Text, Speech, and Dialogue, TSD 2020 (Brno, 8. September 2020 - 11. September 2020)
In: Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-58323-1_36
Rodriguez Salas D., Mürschberger N., Ravikumar N., Seuret M., Maier A.:
Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks
In: SN Computer Science 1 (2020), Art.Nr.: 252
ISSN: 2661-8907
DOI: 10.1007/s42979-020-00268-y
Rodriguez Salas D., Ravikumar N., Seuret M., Maier A.:
ForestNet – Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees
The 5th Asian Conference on Pattern Recognition (Auckland, New Zealand, 26. November 2019 - 29. November 2019)
In: Pattern Recognition 2020
DOI: 10.1007/978-3-030-41404-7_3
URL: https://link.springer.com/chapter/10.1007/978-3-030-41404-7_3
Roser P., Birkhold A., Preuhs A., Kowarschik M., Fahrig R., Maier A.:
Tenfold your photons: A physically-sound approach to filtering-based variance reduction of monte-carlo-simulated dose distributions
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, 15. März 2020 - 17. März 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Hrsg.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_24
Roser P., Birkhold A., Preuhs A., Ochs P., Stepina E., Strobel N., Kowarschik M., Fahrig R., Maier A.:
XDose: toward online cross-validation of experimental and computational X-ray dose estimation
In: International Journal of Computer Assisted Radiology and Surgery (2020)
ISSN: 1861-6410
DOI: 10.1007/s11548-020-02298-6
Roser P., Birkhold A., Preuhs A., Stimpel B., Syben C., Strobel N., Kowarschik M., Fahrig R., Maier A.:
Fully-automatic CT data preparation for interventional X-ray skin dose simulation
Bildverarbeitung für die Medizin: Algorithmen - Systeme - Anwendungen (Berlin, 15. März 2020 - 17. März 2020)
In: Informatik Aktuell Bildverarbeitung für die Medizin 2020 Algorithmen - Systeme - Anwendungen 2020
DOI: 10.1007/978-3-658-29267-6_26
Roser P., Birkhold A., Preuhs A., Syben-Leisner C., Strobel N., Kowarschik M., Fahrig R., Maier A.:
Deep Scatter Splines: Learning-Based Medical X-ray Scatter Estimation Using B-splines
The 6th International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (Regensburg (virtuell), 3. August 2020 - 7. August 2020)
Open Access: https://www.ct-meeting.org/data/ProceedingsCTMeeting2020.pdf
Roser P., Zhong X., Birkhold A., Preuhs A., Syben-Leisner C., Hoppe E., Strobel N., Kowarschik M., Fahrig R., Maier A.:
Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning
In: Anne L. Marte, lPurang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Hrsg.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 2020, S. 199-208
ISBN: 9783030597122
DOI: 10.1007/978-3-030-59713-9_20
Schaffert R., Wang J., Fischer P., Borsdorf A., Maier A.:
Learning an Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences
In: IEEE Transactions on Medical Imaging 39 (2020), S. 3159-3174
ISSN: 0278-0062
DOI: 10.1109/TMI.2020.2988410
Schaffert R., Wang J., Fischer P., Borsdorf A., Maier A.:
Learning-based misalignment detection for 2-D/3-D overlays
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, 15. März 2020 - 17. März 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Hrsg.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_52
Schaffert R., Wang J., Fischer P., Maier A., Borsdorf A.:
Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model
In: IEEE Transactions on Medical Imaging 39 (2020), S. 161-174
ISSN: 0278-0062
DOI: 10.1109/TMI.2019.2922931
Schaffert R., Weiß M., Wang J., Borsdorf A., Maier A.:
Learning-based correspondence estimation for 2-D/3-D registration
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, DEU, 15. März 2020 - 17. März 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Hrsg.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_50
Schirrmacher F., Lorch B., Stimpel B., Köhler T., Riess C.:
SR²: Super-Resolution With Structure-Aware Reconstruction
2020 IEEE International Conference on Image Processing (ICIP) (Online, 25. Oktober 2020 - 28. Oktober 2020)
DOI: 10.1109/ICIP40778.2020.9191253
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Schirrmacher-SR2.pdf
Schirrmacher F., Riess C., Köhler T.:
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
In: IEEE Transactions on Computational Imaging 6 (2020), S. 503--517
ISSN: 2333-9403
DOI: 10.1109/TCI.2019.2956888
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Schirrmacher-AQS.pdf
Schmidkonz C., Atzinger A., Götz T., Beck M., Ritt P., Prante O., Kuwert T., Bäuerle T., Cordes M.:
99mTc-MIP-1404 SPECT/CT for Patients With Metastatic Prostate Cancer: Interobserver and Intraobserver Variability in Treatment-Related Longitudinal Tracer Uptake Assessments of Prostate-Specific Membrane Antigen-Positive Lesions
In: Clinical Nuclear Medicine 45 (2020), S. 105-112
ISSN: 0363-9762
DOI: 10.1097/RLU.0000000000002880
Schmidkonz C., Krumbholz M., Atzinger A., Cordes M., Götz T., Prante O., Ritt P., Schaefer C., Agaimy A., Hartmann W., Roessig C., Froehlich B., Bäuerle T., Dirksen U., Kuwert T., Metzler M.:
Correction to: Assessment of treatment responses in children and adolescents with Ewing sarcoma with metabolic tumor parameters derived from 18F-FDG-PET/CT and circulating tumor DNA (European Journal of Nuclear Medicine and Molecular Imaging, (2019), 10.1007/s00259-019-04649-1)
In: European Journal of Nuclear Medicine and Molecular Imaging (2020)
ISSN: 1619-7070
DOI: 10.1007/s00259-019-04672-2
Schneider M., Benkert T., Solomon E., Nickel D., Fenchel M., Kiefer B., Maier A., Chandarana H., Block KT.:
Free-breathing fat and R2∗ quantification in the liver using a stack-of-stars multi-echo acquisition with respiratory-resolved model-based reconstruction
In: Magnetic Resonance in Medicine (2020)
ISSN: 0740-3194
DOI: 10.1002/mrm.28280
Schröter H., Rosenkranz T., Escalante Banuelos A., Aubreville M., Maier A.:
CLCNet: Deep learning-based noise reduction for hearing aids using complex linear coding
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Barcelona, 4. Mai 2020 - 8. Mai 2020)
In: ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020
DOI: 10.1109/icassp40776.2020.9053563
URL: https://rikorose.github.io/CLCNet-audio-samples.github.io/
Schröter H., Rosenkranz T., Escalante Banuelos A., Maier A.:
CLC: Complex Linear Coding for the DNS 2020 Challenge
(2020)
Open Access: https://arxiv.org/abs/2006.13077
URL: https://github.com/Rikorose/clc-dns-challenge-2020
(Working Paper)
Schröter H., Rosenkranz T., Escalante Banuelos A., Zobel P., Maier A.:
Lightweight Online Noise Reduction on Embedded Devices using Hierarchical Recurrent Neural Networks
INTERSPEECH 2020 (Shanghai, 25. Oktober 2020 - 29. Oktober 2020)
In: INTERSPEECH 2020 2020
DOI: 10.21437/interspeech.2020-1131
URL: https://arxiv.org/abs/2006.13067
Schuller B., Batliner A., Bergler C., Messner EM., Hamilton A., Amiriparian S., Baird A., Rizos G., Schmitt M., Stappen L., Baumeister H., MacIntyre AD., Hantke S.:
The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks
21th Annual Conference of the International Speech Communication Association: Cognitive Intelligence for Speech Processing, INTERSPEECH 2020 (Shanghai, China, 25. Oktober 2020 - 29. Oktober 2020)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 2020
DOI: 10.21437/Interspeech.2020-0032
Seifer AK., Schinkel-Bielefeld N., Schröter H., Escalante Banuelos A., Hoppe U., Maier A.:
Predicting Hearing Aid Fittings Based on Audiometric and Subject-Related Data: A Machine Learning Approach
Virtual Conference on Computational Audiology (VCCA2020) (Virtual, 19. Juni 2020 - 19. Juni 2020)
In: Virtual Conference on Computational Audiology (VCCA2020) 2020
URL: https://computationalaudiology.com/predicting-hearing-aid-fittings-based-on-audiometric-and-subject-related-data-a-machine-learning-approach/
Seuret M., Nicolaou A., Stutzmann D., Maier A., Christlein V.:
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments
17th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Dortmund, 8. September 2020 - 10. September 2020)
DOI: 10.1109/ICFHR2020.2020.00048
Syben-Leisner C., Stimpel B., Roser P., Dörfler A., Maier A.:
Known Operator Learning enables Constrained Projection Geometry Conversion: Parallel to Cone-beam for Hybrid MR/X-ray Imaging
In: IEEE Transactions on Medical Imaging (2020), S. 1-1
ISSN: 0278-0062
DOI: 10.1109/TMI.2020.2998179
Taylor RW., Holler C., Mahmoodabadi RG., Küppers M., Mirzaalian Dastjerdi H., Zaburdaev V., Schambony A., Sandoghdar V.:
High-Precision Protein-Tracking With Interferometric Scattering Microscopy
In: Frontiers in Cell and Developmental Biology 8 (2020), Art.Nr.: 590158
ISSN: 2296-634X
DOI: 10.3389/fcell.2020.590158
Thamm F., Jürgens M., Ditt H., Maier A.:
VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data
Eurographics Workshop on Visual Computing for Biology and Medicine (Uni Tübingen, 28. September 2020 - 1. Oktober 2020)
In: K. Nieselt and R. G. Raidou (Hrsg.): Eurographics Workshop on Visual Computing for Biology and Medicine 2020
DOI: 10.2312/vcbm.20201181
Vasquez Correa J., Arias Vergara T., Schuster M., Orozco Arroyave JR., Nöth E.:
Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson's Disease and Cleft Lip and Palate
In: Speech Communication 122 (2020), S. 56-67
ISSN: 0167-6393
DOI: 10.1016/j.specom.2020.07.005
Vasquez Correa J., Bocklet T., Orozco Arroyave JR., Nöth E.:
Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson’s Disease Patients
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Barcelona, 4. Mai 2020 - 8. Mai 2020)
DOI: 10.1109/ICASSP40776.2020.9054348
Vesal S., Gu M., Maier A., Ravikumar N.:
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification
In: IEEE Journal of Biomedical and Health Informatics (2020)
ISSN: 2168-2194
DOI: 10.1109/JBHI.2020.3046449
URL: https://ieeexplore.ieee.org/document/9302580
Xu Y., Hoppe E., Speier P., Kluge T., Nittka M., Koerzdoerfer G., Maier A.:
Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction and Regression for MR Fingerprinting
ISMRM Workshop on Data Sampling & Image Reconstruction (Sedona, 26. Januar 2020 - 29. Januar 2020)
Xu Y., Hoppe E., Speier P., Kluge T., Nittka M., Koerzdoerfer G., Maier A.:
Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction and Regression for MR Fingerprinting
International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition (Sydney, 18. April 2020 - 23. April 2020)
Yang K., Zhai X., Xie Z., Zhou K., Meng X., Ren Q., Lu Y.:
A practical calibration criterion for image-based material decomposition in spectral computed tomography
In: AEJ - Alexandria Engineering Journal (2020)
ISSN: 1110-0168
DOI: 10.1016/j.aej.2020.03.009
Yoon SS., Hoppe E., Schmidt M., Forman C., Chitiboi T., Sharma P., Tillmanns C., Maier A., Wetzl J.:
A Robust Deep-Learning-based Automated Cardiac Resting Phase Detection: Validation in a Prospective Study
International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition (Sydney, 18. April 2020 - 23. April 2020)

Beena Gopalakrishnan Nair L., Becher A., Meyer-Wegener K.:
The ReProVide Query-Sequence Optimization in a Hardware-Accelerated DBMS
16th International Workshop on Data Management on New Hardware Held with ACM SIGMOD/PODS 2020 (Portland, Oregon USA, 15. Juni 2020 - 15. Juni 2020)
In: DaMoN '20: Proceedings of the 16th International Workshop on Data Management on New Hardware 2020
DOI: 10.1145/3399666.3399926
Beena Gopalakrishnan Nair L., Becher A., Meyer-Wegener K., Wildermann S., Teich J.:
SQL Query Processing Using an Integrated FPGA-based Near-Data Accelerator in ReProVide
23rd International Conference on Extending Database Technology (Copenhagen, 30. März 2020 - 2. April 2020)
In: Proceedings of EDBT 2020
Haller D., Lenz R.:
Discovery of ontologies from implicit user knowledge
2020 Conference "Learning, Knowledge, Data, Analytics", LWDA 2020 (, 9. September 2020 - 11. September 2020)
In: Daniel Trabold, Pascal Welke, Nico Piatkowski (Hrsg.): CEUR Workshop Proceedings 2020
Haller D., Lenz R.:
Pharos: Query-Driven Schema Inference for the Semantic Web
International Workshops of ECML PKDD 2019 (Würzburg, 16. September 2019 - 20. September 2019)
In: Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16--20, 2019, Proceedings, Part II, Cham: 2020
DOI: 10.1007/978-3-030-43887-6_10
URL: https://link.springer.com/chapter/10.1007/978-3-030-43887-6_10
Langohr M.:
Konzeption und prototypische Implementierung einer regelbasierten Anfrageklassifizierung zur Einhaltung des Datenschutzes (Masterarbeit, 2020)
Ripperger S., Carter G., Page R., Duda N., Kölpin A., Weigel R., Hartmann M., Nowak T., Thielecke J., Schadhauser M., Robert J., Herbst S., Meyer-Wegener K., Wägemann P., Schröder-Preikschat W., Cassens B., Dressler F., Mayer F., Kapitza R.:
Thinking small: next-generation sensor networks close the size gap in vertebrate biologging
In: Plos Biology (2020)
ISSN: 1544-9173
DOI: 10.1371/journal.pbio.3000655
Schwab P., Langohr M., Meyer-Wegener K.:
A Framework for DSL-Based Query Classification Using Relational and Graph-Based Data Models
3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (Portland, OR, 14. Juni 2020 - 14. Juni 2020)
In: ACM (Hrsg.): GRADES-NDA'20: Proceedings of the 3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) 2020
DOI: 10.1145/3398682.3399167
URL: https://dl.acm.org/doi/abs/10.1145/3398682.3399167
Schwab P., Langohr M., Meyer-Wegener K.:
We Know What You Did Last Session: Policy-Based Query Classification for Data-Privacy Compliance With the DataEconomist
SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management (Vienna, Virtual Conference, 7. Juli 2020 - 9. Juli 2020)
DOI: 10.1145/3400903.3401692
Schwab P., Meyer-Wegener K.:
Towards Evolutionary, Domain-Specific Query Classification Based on Policy Rules
Lernen, Wissen, Daten, Analysen (LWDA) 2020 (Online, 9. September 2020 - 11. November 2020)
In: Daniel Trabold, Pascal Welke, Nico Piatkowski (Hrsg.): Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" 2020
URL: http://ceur-ws.org/Vol-2738/LWDA2020_paper_18.pdf
Vöhringer D., Meyer-Wegener K.:
Future Fetch: Towards a ticket-based data access for secondary storage in database systems
Lernen, Wissen, Daten, Analysen 2020 (LWDA 2020) (Virtual, Online, 9. September 2020 - 11. September 2020)
In: Daniel Trabold, Pascal Welke, Nico Piatkowski (Hrsg.): Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" 2020
URL: https://ceur-ws.org/Vol-2738/LWDA2020_paper_2.pdf

Ammon L., Deutschmann J., Hielscher KS., German R.:
One-Way Delay and Goodput Measurements with a VDSL, DOCSIS, and MPTCP Internet Access
43rd International Conference on Telecommunications and Signal Processing, TSP 2020 (Milan, 7. Juli 2020 - 9. Juli 2020)
In: Norbert Herencsar (Hrsg.): 2020 43rd International Conference on Telecommunications and Signal Processing, TSP 2020 2020
DOI: 10.1109/TSP49548.2020.9163526
Apostolaki-Iosifidou E., Pruckner M., Woo S., Lipman T.:
Electric Vehicle Charge Management for Lowering Costs and Environmental Impact
7th IEEE Conference on Technologies for Sustainability, SusTech 2020 (Santa Ana, Orange County, CA, 23. April 2020 - 25. April 2020)
In: 2020 IEEE Conference on Technologies for Sustainability, SusTech 2020 2020
DOI: 10.1109/SusTech47890.2020.9150524
Arestova A., Hielscher KS., German R.:
Design of a hybrid genetic algorithm for time-sensitive networking
20th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems, MMB 2020 (Saarbrücken, 16. März 2020 - 18. März 2020)
In: Holger Hermanns, Holger Hermanns (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-43024-5_7
Baron W., Sippl C., Hielscher KS., German R.:
Repeatable Simulation for Highly Automated Driving Development and Testing
2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) (Antwerp, 25. Mai 2020 - 28. Mai 2020)
In: IEEE (Hrsg.): Proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) 2020
DOI: 10.1109/VTC2020-Spring48590.2020.9129208
URL: https://ieeexplore.ieee.org/abstract/document/9129208
Brummer A., Gütlein M., Schäfer M., German R., Djanatliev A.:
Experimental Evaluation of the N-Ray Ground Interference Model
12th IEEE Vehicular Networking Conference (VNC 2020) (Virtual Conference, 16. Dezember 2020 - 18. Dezember 2020)
In: Proceedings of the 12th IEEE Vehicular Networking Conference (VNC 2020), Virtual Conference: 2020
DOI: 10.1109/VNC51378.2020.9318362
Deinlein T., German R., Djanatliev A.:
5G-Sim-V2I/N: Towards a Simulation Framework for the Evaluation of 5G V2I/V2N Use Cases
2020 European Conference on Networks and Communications (EuCNC) (Dubrovnik, Croatia (Virtual), 16. Juni 2020 - 17. Juni 2020)
In: 2020 European Conference on Networks and Communications (EuCNC): Wireless, Optical and Satellite Networks (WOS) (EuCNC2020 - WOS), Dubrovnik, Croatia: 2020
DOI: 10.1109/EuCNC48522.2020.9200949
Deinlein T., German R., Djanatliev A.:
Evaluation of the 5G Data Plane for Advanced Vehicular Use Cases with 5G-Sim-V2I/N
12th IEEE Vehicular Networking Conference (VNC 2020) (Virtual Conference, 16. Dezember 2020 - 18. Dezember 2020)
In: Proceedings of the 12th IEEE Vehicular Networking Conference (VNC 2020) 2020
DOI: 10.1109/VNC51378.2020.9318368
Deutschmann J., Hielscher KS., German R.:
An ns-3 model for multipath communication with terrestrial and satellite links
20th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems, MMB 2020 (Saarbrücken, 16. März 2020 - 18. März 2020)
In: Holger Hermanns, Holger Hermanns (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-43024-5_5
Dibaei Asl M., Ghaffari A.:
Full-duplex medium access control protocols in wireless networks: A survey
In: Wireless Networks 26 (2020), S. 2825--2843
ISSN: 1022-0038
URL: https://link.springer.com/article/10.1007/s11276-019-02242-w
Dibaei Asl M., Zheng X., Jiang K., Abbas R., Liu S., Zhang Y., Xiang Y., Yu S.:
Attacks and defences on intelligent connected vehicles: A survey
In: Digital Communications and Networks 6 (2020), S. 399--421
ISSN: 2468-5925
DOI: 10.1016/j.dcan.2020.04.007
URL: https://www.sciencedirect.com/science/article/pii/S235286481930197X
Dicke P., Resch S., Steinbacher F., Luther M., German R.:
Benefits and Challenges of the Kinetic Battery Model in System-Level Storage Unit Simulations
12th International Conference on Computer Modeling and Simulation (ICCMS 2020) (Brisbane, 22. Juni 2020 - 24. Juni 2020)
DOI: 10.1145/3408066.3408072
Doluweera G., Hahn F., Bergerson J., Pruckner M.:
A scenario-based study on the impacts of electric vehicles on energy consumption and sustainability in Alberta
In: Applied Energy 268 (2020), Art.Nr.: 114961
ISSN: 0306-2619
DOI: 10.1016/j.apenergy.2020.114961
German R., Djanatliev A., Maile L., Bazan P., Hackstein H.:
Modeling Exit Strategies from COVID-19 Lockdown with a Focus on Antibody Tests
(2020)
DOI: 10.1101/2020.04.14.20063750
URL: https://www.medrxiv.org/content/early/2020/04/18/2020.04.14.20063750
(Working Paper)
Gütlein M., Baron W., Renner C., Djanatliev A.:
Performance Evaluation of HLA RTI Implementations
In: Proceedings of the 2020 IEEE/ACM 24st International Symposium on Distributed Simulation and Real Time Applications (DS-RT) 2020 2020
DOI: 10.1109/DS-RT50469.2020.9213641
Gütlein M., Djanatliev A.:
Modeling and Simulation as a Service Using Apache Kafka
SIMULTECH 2020 (, 8. Juli 2020 - 10. Juli 2020)
In: Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications 2020
DOI: 10.5220/0009780501710180
Haslak T.:
Weighted Fair Queuing as a Scheduling Algorithm for Deferrable Loads in Smart Grids
In: Valentin Bertsch, Armin Ardone, Michael Suriyah, Wolf Fichtner, Thomas Leibfried, Vincent Heuveline (Hrsg.): Advances in Energy System Optimization, Springer, 2020, S. 123-141 (Trends in Mathematics)
DOI: 10.1007/978-3-030-32157-4_8
Heinrich F., Pruckner M.:
Data-driven Approach for Battery Capacity Estimation Based on In-vehicle Driving Data and Incremental Capacity Analysis
12th International Conference on Applied Energy, ICAE 2020 (Bangkok, THA, 1. Dezember 2020 - 10. Dezember 2020)
In: Energy Proceedings 2020
Huber B., Herzog S., Sippl C., German R., Djanatliev A.:
Evaluation of Virtual Traffic Situations for Testing Automated Driving Functions based on Multidimensional Criticality Analysis
23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020 (Rhodes, 20. September 2020 - 23. September 2020)
In: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020 2020
DOI: 10.1109/ITSC45102.2020.9294169
Huber B., Schmidl P., Sippl C., Djanatliev A.:
A validated failure behavior model for driver behavior models for generating skid-scenarios on motorways
International Conference on Intelligent Human Systems Integration (IHSI 2020) (Modena, 19. Februar 2020 - 21. Februar 2020)
In: Tareq Ahram, Waldemar Karwowski, Alberto Vergnano, Francesco Leali, Redha Taiar (Hrsg.): International Conference on Intelligent Human Systems Integration 2020 2020
DOI: 10.1007/978-3-030-39512-4_15
Kang JJ., Dibaei Asl M., Lou G., Yang W., Haskell-Dowland P., Zheng X.:
A privacy-preserving data inference framework for internet of health things networks
In: 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) 2020
URL: https://ieeexplore.ieee.org/abstract/document/9343037
Maile L., Hielscher KS., German R.:
Network Calculus Results for TSN: An Introduction
In: 2020 Information Communication Technologies Conference (ICTC) 2020
DOI: 10.1109/ICTC49638.2020.9123308
URL: https://ieeexplore.ieee.org/document/9123308
Montanari F., German R., Djanatliev A.:
Pattern Recognition for Driving Scenario Detection in Real Driving Data
31st IEEE Intelligent Vehicles Symposium, IV 2020 (Virtual, Las Vegas, NV, 19. Oktober 2020 - 13. November 2020)
In: IEEE Intelligent Vehicles Symposium, Proceedings 2020
DOI: 10.1109/IV47402.2020.9304560
Montanari F., German R., Djanatliev A.:
Pattern Recognition for Driving Scenario Detection in Real Driving Data
2020 IEEE Intelligent Vehicles Symposium (IV) (, 19. Oktober 2020 - 20. November 2020)
DOI: 10.1109/IV47402.2020.9304560
URL: https://ieeexplore.ieee.org/abstract/document/9304560
Niebisch M., Deinlein T., Pfaller D., German R., Djanatliev A.:
Impact of the Communication Direction on the Reliability of Vehicle-to-Everything (V2X) Communications
12th IEEE Vehicular Networking Conference (VNC 2020) (Virtual Conference, 16. Dezember 2020 - 18. Dezember 2020)
In: Proceedings of the 12th IEEE Vehicular Networking Conference (VNC 2020) 2020
DOI: 10.1109/VNC51378.2020.9318416
Pruckner M., Eckhoff D.:
Shared autonomous electric vehicles and the power grid: Applications and research challenges
10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 (Delft, 26. Oktober 2020 - 28. Oktober 2020)
In: IEEE PES Innovative Smart Grid Technologies Conference Europe 2020
DOI: 10.1109/ISGT-Europe47291.2020.9248844
Scharrer D., Bazan P., German R.:
Dynamic simulation of an HP-ORC-Heat Storage pilot plant for an economic evaluation and necessary cost reduction
International Conference on Applied Energy 2020 (Bangkok / Virtual, 1. Dezember 2020 - 10. Dezember 2020)
Scharrer D., Eppinger B., Bazan P., Zigan L., Will S., German R.:
A model for triple generation of cooling, heating and electrical power with a seasonal pumped thermal energy storage
Applied Energy Symposium: Low carbon cities and urban energy systems (Tokyo / Virtual Conference, 10. Oktober 2020 - 17. Oktober 2020)
Scharrer D., Eppinger B., Schmitt P., Zenk J., Bazan P., Karl J., Will S., Pruckner M., German R.:
Life Cycle Assessment of a Reversible Heat Pump–Organic Rankine Cycle–Heat Storage System with Geothermal Heat Supply
In: Energies 13 (2020), Art.Nr.: 3253
ISSN: 1996-1073
DOI: 10.3390/en13123253
Schlund J., Pruckner M., German R.:
FlexAbility - Modeling and Maximizing the Bidirectional Flexibility Availability of Unidirectional Charging of Large Pools of Electric Vehicles
In: Proceedings of the Eleventh ACM International Conference on Future Energy Systems, New York, NY, USA: 2020
DOI: 10.1145/3396851.3397697

Adámek J., Milius S., Moss LS.:
On Well-Founded and Recursive Coalgebras
23rd International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2020, held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020 (Dublin, 25. April 2020 - 30. April 2020)
In: Jean Goubault-Larrecq, Barbara König (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-45231-5_2
Diezel TL., Goncharov S.:
Towards constructive hybrid semantics
5th International Conference on Formal Structures for Computation and Deduction, FSCD 2020 (Virtual, Online, FRA, 29. Juni 2020 - 6. Juli 2020)
In: Zena M. Ariola (Hrsg.): Leibniz International Proceedings in Informatics, LIPIcs 2020
DOI: 10.4230/LIPIcs.FSCD.2020.24
Dykes N., Evert S., Göttlinger M., Heinrich P., Schröder L.:
Reconstructing Arguments from Noisy Text
In: Datenbank-Spektrum 20 (2020), S. 123-129
ISSN: 1618-2162
DOI: 10.1007/s13222-020-00342-y
URL: https://link.springer.com/article/10.1007/s13222-020-00342-y
Forster J., Schröder L.:
Non-iterative Modal Logics are Coalgebraic
13th Conference on Advances in Modal Logic, AiML 2020 (Virtual, Helsinki, 24. August 2020 - 28. August 2020)
URL: http://www.aiml.net/volumes/volume13/Forster-Schroeder.pdf
Goncharov S., Milius S., Silva A.:
Toward a Uniform Theory of Effectful State Machines
In: ACM Transactions on Computational Logic 21 (2020), Art.Nr.: 23
ISSN: 1529-3785
DOI: 10.1145/3372880
Goncharov S., Neves R., Proença J.:
Implementing Hybrid Semantics: From Functional to Imperative
17th International Colloquium on Theoretical Aspects of Computing, ICTAC 2020 (Macau, 30. November 2020 - 4. Dezember 2020)
In: Violet Ka Pun, Volker Stolz, Adenilso Simao (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-64276-1_14
Hausmann D., Litak TM., Rauch C., Zinner M.:
Cheap CTL Compassion in NuSMV
21st International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2020 (New Orleans, LA, 16. Januar 2020 - 21. Januar 2020)
In: Dirk Beyer, Damien Zufferey (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-39322-9_12
Hausmann D., Schröder L.:
NP Reasoning in the Monotone mu-Calculus
International Joint Conference on Automated Reasoning, IJCAR 2020
In: Viorica Sofronie-Stokkermans and Nicolas Pelletier (Hrsg.): Proc. International Joint Conference on Automated Reasoning, IJCAR 2020 2020
DOI: 10.1007/978-3-030-51074-9_28
König B., Mika-Michalski C., Schröder L.:
Explaining non-bisimilarity in a coalgebraic approach: Games and distinguishing formulas
15th International Workshop on Coalgebraic Methods in Computer Science, CMCS 2020, colocated with the European Joint Conferences on Theory and Practice of Software, ETAPS 2020 (Dublin, 25. April 2020 - 26. April 2020)
In: Daniela Petrisan, Jurriaan Rot (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-57201-3_8
Polzer M., Goncharov S.:
Local Local Reasoning: A BI-Hyperdoctrine for Full Ground Store
23rd International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2020, held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020 (Dublin, 25. April 2020 - 30. April 2020)
In: Jean Goubault-Larrecq, Barbara König (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-45231-5_28
Schneider J., Milius S., Deifel HP., Freiling F.:
Unifying Metadata-Based Storage Reconstruction and Carving with LAYR
DFRWS 2020 USA (Virtual, 20. Juli 2020 - 24. Juli 2020)
In: Elsevier (Hrsg.): Forensic Science International: Digital Investigation 2020
DOI: 10.1016/j.fsidi.2020.301006
URL: https://www.sciencedirect.com/science/article/pii/S2666281720302559
Urbat H., Schröder L.:
Automata Learning: An Algebraic Approach
35th Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2020 (Saarbrücken, 8. Juli 2020 - 11. Juli 2020)
In: ACM International Conference Proceeding Series, New York, NY: 2020
DOI: 10.1145/3373718.3394775
URL: https://arxiv.org/abs/1911.00874
Wild P., Schröder L.:
Characteristic logics for behavioural metrics via fuzzy lax extensions
31st International Conference on Concurrency Theory, CONCUR 2020 (, 1. September 2020 - 4. September 2020)
In: Igor Konnov, Laura Kovacs (Hrsg.): Leibniz International Proceedings in Informatics, LIPIcs 2020
DOI: 10.4230/LIPIcs.CONCUR.2020.27
Wißmann T., Dorsch U., Milius S., Schröder L.:
Efficient and Modular Coalgebraic Partition Refinement
In: Logical Methods in Computer Science 16 (2020), S. 1–63
ISSN: 1860-5974
Open Access: https://lmcs.episciences.org/6064

Eixelberger T., Parchent J., Janka RM., Stamminger M., Döllinger M., Wittenberg T.:
Haptic Rendering of Soft-Tissue for Training Surgical Procedures at the Larynx
Algorithmen – Systeme – Anwendungen (Berlin, 15. März 2020 - 17. März 2020)
In: In: Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (eds) (Hrsg.): Bildverarbeitung für die Medizin 2020, Informatik aktuell, Wiesbaden: 2020
DOI: 10.1007/978-3-658-29267-6_76
Faghih-Naini S., Kuckuk S., Aizinger V., Zint D., Grosso R., Köstler H.:
Quadrature-free discontinuous Galerkin method with code generation features for shallow water equations on automatically generated block-structured meshes
In: Advances in Water Resources 138 (2020), Art.Nr.: 103552
ISSN: 0309-1708
DOI: 10.1016/j.advwatres.2020.103552
Falk S., Kniesburges S., Janka RM., O'Keefe T., Grosso R., Döllinger M.:
Numerical investigation of the hydrodynamics of changing fin positions within a 4-fin surfboard configuration
In: Applied Sciences 10 (2020), Art.Nr.: 816
ISSN: 2076-3417
DOI: 10.3390/app10030816
Franke L., Fink L., Martschinke J., Selgrad K., Stamminger M.:
Time‐Warped Foveated Rendering for Virtual Reality Headsets
In: Computer Graphics Forum 40 (2020), S. 110-123
ISSN: 0167-7055
DOI: 10.1111/cgf.14176
URL: https://www.lgdv.tf.fau.de/?p=1980
Hofmann N., Martschinke J., Engel K., Stamminger M.:
Neural Denoising for Path Tracing of Medical Volumetric Data
High-Performance Graphics 2020 (Online, 13. Juli 2020 - 16. Juli 2020)
In: ACM (Hrsg.): Proceedings of the ACM on Computer Graphics and Interactive Techniques 2020
DOI: 10.1145/3406181
URL: https://www.lgdv.tf.fau.de/?p=2278
Innmann M., Kim K., Gu J., Nießner M., Loop C., Stamminger M., Kautz J.:
NRMVS: Non-Rigid Multi-View Stereo
IEEE Winter Conference on Applications of Computer Vision (WACV) (Aspen, Colorado, USA, 1. März 2020 - 5. März 2020)
DOI: 10.1109/WACV45572.2020.9093583
URL: https://www.lgdv.tf.fau.de/?p=1730
Innmann M., Süßmuth J., Stamminger M.:
BRDF-Reconstruction in Photogrammetry Studio Setups
IEEE Winter Conference on Applications of Computer Vision (WACV) 2020 (Aspen, Colorado, USA, 1. März 2020 - 5. März 2020)
DOI: 10.1109/wacv45572.2020.9093320
Kohlhase M., Bösl B., Marcus R., Müller D., Rochau D., Roux N., Schihada J., Stamminger M.:
FrameIT: Detangling Knowledge Management from Game Design in Serious Games
The 13th Conference on Intelligent Computer Mathematics (CICM 2020) (Bertinoro, 26. Juli 2020 - 31. Juli 2020)
In: Springer (Hrsg.): Lecture Notes in Computer Science, vol 12236 2020
DOI: 10.1007/978-3-030-53518-6_11
Kurth P., Klein V., Stamminger M., Bauer F.:
Real-Time Adaptive Color Correction in Dynamic Projection Mapping
IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (Recife, Brasilien, 9. November 2020 - 13. November 2020)
In: IEEE (Hrsg.): Proceedings of the IEEE International Symposium for Mixed and Augmented Reality 2020 2020
DOI: 10.1109/ISMAR50242.2020.00039
URL: https://www.lgdv.tf.fau.de/?p=1948
Lange V., Kurth P., Keinert B., Boß M., Stamminger M., Bauer F.:
Proxy Painting: Digital Colorization of Real-world Objects
In: Journal of Computing and Cultural Heritage 13 (2020), Art.Nr.: 16
ISSN: 1556-4673
DOI: 10.1145/3377145
URL: https://www.lgdv.tf.fau.de/?p=2264
Lauer V., Grampp S., Platt J., Lafleur V., Lombardi O., Choudhry H., Kranz F., Hartmann A., Wullich B., Yamamoto A., Coleman ML., Ratcliffe PJ., Mole DR., Schödel J.:
Hypoxia drives glucose transporter 3 expression through hypoxia-inducible transcription factor (HIF)-mediated induction of the long noncoding RNA NICI
In: Journal of Biological Chemistry 295 (2020), S. 4065-4078
ISSN: 0021-9258
DOI: 10.1074/jbc.RA119.009827
Marcus R., Kohlhase M., Rabe F.:
Tgview3d: A system for 3-dimensional visualization of theory graphs
13th International Conference on Intelligent Computer Mathematics, CICM 2020 (Bertinoro, 26. Juli 2020 - 31. Juli 2020)
In: Christoph Benzmüller, Bruce Miller (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-53518-6_20
Martinek M., Thiemann P., Stamminger M.:
Path-Traced Motion Blur using Motion Trees
Smart Tools and Apps for Graphics
DOI: 10.2312/stag.20201251
Matern F., Riess C., Stamminger M.:
Depth Map Fingerprinting and Splicing Detection
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Barcelona, 4. Mai 2020 - 8. Mai 2020)
In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020
DOI: 10.1109/ICASSP40776.2020.9052979
Penk D., Müller J., Felfer P., Grosso R., Stamminger M.:
Visualization Aided Interface Reconstruction
VMV 2020, 25th International Symposium on Vision, Modeling, and Visualization (Tübingen, 28. September 2020 - 1. Oktober 2020)
Penk D., Sturm R., Seifert L., Stamminger M., Greiner G.:
Reflective surface reconstruction from inverse deflectometric measurements
15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020 (Valletta, 27. Februar 2020 - 29. Februar 2020)
In: Giovanni Maria Farinella, Petia Radeva, Jose Braz (Hrsg.): VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2020
DOI: 10.5220/0008968600760084
Thies J., Zollhöfer M., Theobalt C., Stamminger M., Nießner M.:
Image-guided Neural Object Rendering
International Conference on Learning Representations (virtual, 26. April 2020 - 30. April 2020)
In: Proceedings ICLR 2020 2020
DOI: 10.48550/arXiv.1811.10720
Thies LT., Stamminger M., Bauer F.:
Learning Kinematic Machine Models from Videos
3rd International Conference on Artificial Intelligence & Virtual Reality (virtual/online event, 14. Dezember 2020 - 18. Dezember 2020)
In: Proceedings IEEE AIVR 2020
Thies LT., Stamminger M., Bauer F.:
Learning Kinematic Machine Models from Videos for VR/AR training
3rd International Conference on Artificial Intelligence & Virtual Reality (Utrecht, Netherlands, 14. Dezember 2020 - 18. Dezember 2020)
In: 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) 2020
DOI: 10.1109/AIVR50618.2020.00028
URL: https://www.lgdv.tf.fau.de/?p=2280
Zint D., Grosso R.:
Parallel Reconstruction of Quad Only Meshes from Volume Data
15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Valletta, 27. Februar 2020 - 29. Februar 2020)
In: INSTICC (Hrsg.): Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP 2020
DOI: 10.5220/0008948701020112
Zint D., Grosso R., Lunz F.:
Discrete Mesh Optimization on Surface and Volume Meshes
28th International Meshing Roundtable (Buffalo, NY, USA, 14. Oktober 2019 - 17. Oktober 2019)
DOI: 10.5281/zenodo.3653390

Bauer M., Eibl S., Godenschwager C., Kohl N., Kuron M., Rettinger C., Schornbaum F., Schwarzmeier C., Thönnes D., Köstler H., Rüde U.:
WALBERLA: A block-structured high-performance framework for multiphysics simulations
In: Computers & Mathematics with Applications (2020)
ISSN: 0898-1221
DOI: 10.1016/j.camwa.2020.01.007
Bauer M., Silva G., Rüde U.:
Truncation errors of the D3Q19 lattice model for the lattice Boltzmann method
In: Journal of Computational Physics 405 (2020), Art.Nr.: 109111
ISSN: 0021-9991
DOI: 10.1016/j.jcp.2019.109111
Bauer S., Bunge HP., Drzisga D., Ghelichkhan S., Huber M., Kohl N., Mohr M., Rüde U., Thönnes D., Wohlmuth B.:
Terraneo—mantle convection beyond a trillion degrees of freedom
In: Hans-Joachim Bungartz, Severin Reiz, Benjamin Uekermann, Philipp Neumann, Wolfgang E. Nagel (Hrsg.): Software for Exascale Computing - SPPEXA 2016-2019, Cham: Springer, 2020, S. 569-610 (Lecture Notes in Computational Science and Engineering, Bd.136)
ISBN: 978-3-030-47956-5
DOI: 10.1007/978-3-030-47956-5_19
Carp D., Popa C., Preclik T., Rüde U.:
Iterative Solution of Weighted Linear Least Squares Problems
In: Analele Stiintifice Ale Universitatii Ovidius Constanta-Seria Matematica 28 (2020), S. 53-65
ISSN: 1224-1784
DOI: 10.2478/auom-2020-0019
Drozdov G., Ostanin I., Xu H., Wang Y., Dumitricǎ T., Grebenko A., Tsapenko AP., Gladush Y., Ermolaev G., Volkov VS., Eibl S., Rüde U., Nasibulin AG.:
Densification of single-walled carbon nanotube films: Mesoscopic distinct element method simulations and experimental validation
In: Journal of Applied Physics 128 (2020), Art.Nr.: 184701
ISSN: 0021-8979
DOI: 10.1063/5.0025505
Drzisga D., Rüde U., Wohlmuth B.:
STENCIL SCALING FOR VECTOR-VALUED PDES ON HYBRID GRIDS WITH APPLICATIONS TO GENERALIZED NEWTONIAN FLUIDS
In: SIAM Journal on Scientific Computing 42 (2020), S. B1429-B1461
ISSN: 1064-8275
DOI: 10.1137/19M1267891
Faghih-Naini S., Kuckuk S., Aizinger V., Zint D., Grosso R., Köstler H.:
Quadrature-free discontinuous Galerkin method with code generation features for shallow water equations on automatically generated block-structured meshes
In: Advances in Water Resources 138 (2020), Art.Nr.: 103552
ISSN: 0309-1708
DOI: 10.1016/j.advwatres.2020.103552
Heisig M.:
Sealable Metaobjects for Common Lisp
The 13th European Lisp Symposium (Online, Twitch, 27. April 2020 - 28. April 2020)
In: ELS'20 2020
DOI: 10.5281/zenodo.3743823
URL: https://european-lisp-symposium.org/static/proceedings/2020.pdf
Huber M., Kohl N., Leleux P., Rüde U., Thönnes D., Wohlmuth B.:
Massively Parallel Multigrid with Direct Coarse Grid Solvers
NIC Symposium 2020 (Forschungszentrum Jülich John von Neumann Institute for Computing (NIC), 27. Februar 2020 - 28. Februar 2020)
In: NIC Symposium 2020 2020
Hönig J., Koch M., Rüde U., Engwer C., Köstler H.:
Unified generation of DG-kernels for different HPC frameworks
In: Ian Foster, Gerhard R. Joubert, Ludek Kucera, Wolfgang E. Nagel, Frans Peters (Hrsg.): Advances in Parallel Computing 2020
DOI: 10.3233/APC200062
Hönig J., Köstler H., Rüde U., Engwer C., Koch M.:
Unified Generation of DG-Kernels for Different HPC Frameworks
In: IOS Press (Hrsg.): Parallel Computing Technology Trends, 2020 (Advances in parallel computing, Bd.36)
Kruse C., Darrigrand V., Tardieu N., Arioli M., Rüde U.:
Application of an iterative Golub-Kahan algorithm to structural mechanics problems with multi-point constraints
In: Advanced Modeling and Simulation in Engineering Sciences 7 (2020), Art.Nr.: 45
ISSN: 2213-7467
DOI: 10.1186/s40323-020-00181-2
Kruse C., Sosonkina M., Arioli M., Tardieu N., Rüde U.:
Parallel performance of an iterative solver based on the golub-kahan bidiagonalization
13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019 (Bialystok, 8. September 2019 - 11. September 2019)
In: Roman Wyrzykowski, Konrad Karczewski, Ewa Deelman, Jack Dongarra (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-43229-4_10
Kruse C., Sosonkina M., Arioli M., Tardieu N., Rüde U.:
Parallel solution of saddle point systems with nested iterative solvers based on the Golub-Kahan Bidiagonalization
In: Concurrency and Computation-Practice & Experience (2020)
ISSN: 1532-0626
DOI: 10.1002/cpe.5914
Köstler H., Heisig M., Kohl N., Kuckuk S., Bauer M., Rüde U.:
Code generation approaches for parallel geometric multigrid solvers
In: Analele Stiintifice ale Universitatii Ovidius Constanta, Seria Matematica 28 (2020), S. 123-152
ISSN: 1844-0835
DOI: 10.2478/auom-2020-0038
Lengauer C., Apel S., Bolten M., Chiba S., Rüde U., Teich J., Größlinger A., Hannig F., Köstler H., Claus L., Grebhahn A., Groth S., Kronawitter S., Kuckuk S., Rittich H., Schmitt C., Schmitt J.:
ExaStencils: Advanced multigrid solver generation
In: Hans-Joachim Bungartz, Severin Reiz, Benjamin Uekermann, Philipp Neumann, Wolfgang E. Nagel (Hrsg.): Lecture notes in computational science and engineering, Cham: Springer, 2020, S. 405-452 (Software for Exascale Computing SPPEXA 2016 – 2019, Bd.136)
ISBN: 978-3-030-47955-8
DOI: 10.1007/978-3-030-47956-5
URL: https://library.oapen.org/bitstream/handle/20.500.12657/41289/2020_Book_SoftwareForExascaleComputing-S.pdf?sequence=1#page=411
Lengauer C., Apel S., Bolten M., Chiba S., Rüde U., Teich J., Größlinger A., Hannig F., Köstler H., Claus L., Grebhahn A., Groth S., Kronawitter S., Kuckuk S., Rittich H., Schmitt C., Schmitt J.:
ExaStencils – Advanced Multigrid Solver Generation
In: Hans-Joachim Bungartz, Severin Reiz, Philipp Neumann, Benjamin Uekermann, Wolfgang Nagel (Hrsg.): Software for Exascale Computing – SPPEXA 2016-2019, Springer, 2020, S. 405-452 (Lecture Notes in Computer Science and Engineering, Bd.136)
ISBN: 978-3-030-47955-8
DOI: 10.1007/978-3-030-47956-5_14
URL: https://www12.cs.fau.de/downloads/hannig/publications/ExaStencils_Advanced_Multigrid_Solver_Generation.pdf
Papež J., Rüde U., Vohralík M., Wohlmuth B.:
Sharp algebraic and total a posteriori error bounds for h and p finite elements via a multilevel approach: Recovering mass balance in any situation
In: Computer Methods in Applied Mechanics and Engineering 371 (2020), Art.Nr.: 113243
ISSN: 0045-7825
DOI: 10.1016/j.cma.2020.113243
Rybak I., Schwarzmeier C., Eggenweiler E., Rüde U.:
Validation and calibration of coupled porous-medium and free-flow problems using pore-scale resolved models
In: Computational Geosciences (2020)
ISSN: 1420-0597
DOI: 10.1007/s10596-020-09994-x
URL: https://link.springer.com/article/10.1007/s10596-020-09994-x
Schmitt J., Kuckuk S., Köstler H.:
Constructing Efficient Multigrid Solvers with Genetic Programming
Genetic and Evolutionary Computation Conference (GECCO '20) (Cancún, 8. Juli 2020 - 12. Juli 2020)
In: Association for Computing Machinery (Hrsg.): Proceedings of the 2020 Genetic and Evolutionary Computation Conference, New York, NY, USA: 2020
DOI: 10.1145/3377930.3389811

Es wurden leider keine Publikationen gefunden.

Aliee H., Glaß M., Khosravi F., Teich J.:
Uncertainty-Aware Compositional System-Level Reliability Analysis
In: Henkel, Jörg, Dutt, Nikil (Hrsg.): Dependable Embedded Systems, 2020
ISBN: 978-3-030-52017-5
DOI: 10.1007/978-3-030-52017-5_19
Arvind TKR., Brand M., Heidorn C., Boppu S., Hannig F., Teich J.:
Hardware Implementation of Hyperbolic Tangent Activation Function for Floating Point Formats
24th International Symposium on VLSI Design and Test (VDAT) (Bhubaneswar, 23. Juli 2020 - 25. Juli 2020)
In: Proceedings of the 24th International Symposium on VLSI Design and Test (VDAT) 2020
DOI: 10.1109/VDAT50263.2020.9190305
Bassimir B., Schmitt M., Wanka R.:
Self-adaptive potential-based stopping criteria for Particle Swarm Optimization with forced moves
In: Swarm Intelligence (2020)
ISSN: 1935-3812
DOI: 10.1007/s11721-020-00185-z
Beena Gopalakrishnan Nair L., Becher A., Meyer-Wegener K.:
The ReProVide Query-Sequence Optimization in a Hardware-Accelerated DBMS
16th International Workshop on Data Management on New Hardware Held with ACM SIGMOD/PODS 2020 (Portland, Oregon USA, 15. Juni 2020 - 15. Juni 2020)
In: DaMoN '20: Proceedings of the 16th International Workshop on Data Management on New Hardware 2020
DOI: 10.1145/3399666.3399926
Beena Gopalakrishnan Nair L., Becher A., Meyer-Wegener K., Wildermann S., Teich J.:
SQL Query Processing Using an Integrated FPGA-based Near-Data Accelerator in ReProVide
23rd International Conference on Extending Database Technology (Copenhagen, 30. März 2020 - 2. April 2020)
In: Proceedings of EDBT 2020
Brand M., Witterauf M., Bosio A., Teich J.:
Anytime Floating-Point Addition and Multiplication – Concepts and Implementations
Conference on Application-specific Systems, Architectures and Processors (ASAP 2020) (Manchester, U.K., 6. Juli 2020 - 8. Juli 2020)
In: Proceedings of the 31st IEEE International Conference on Application-specific Systems, Architectures and Processors 2020
DOI: 10.1109/ASAP49362.2020.00034
Brand P., Sabih M., Falk J., Ah Sue J., Teich J.:
Clustering-Based Scenario-Aware LTE Grant Prediction
IEEE Wireless Communications and Networking Conference (WCNC2020) (Seoul, 25. Mai 2020 - 28. Mai 2020)
In: IEEE (Hrsg.): Proceedings of the 2020 IEEE Wireless Communications and Networking Conference (WCNC) 2020
DOI: 10.1109/WCNC45663.2020.9120789
Echavarria Gutiérrez JA., Wildermann S., Keszöcze O., Teich J.:
Probabilistic Error Propagation through Approximated Boolean Networks
57th Annual Design Automation Conference (DAC) (San Francisco, CA, 19. Juli 2020 - 23. Juli 2020)
In: Proceedings of the 57th Annual Design Automation Conference 2020
DOI: 10.1109/dac18072.2020.9218536
Echavarria Gutiérrez JA., Wildermann S., Khosravi F., Teich J.:
An Approximate Sequential Multiplier with Segmented Carry Chain and Variable Accuracy
AxC20: 5th Workshop on Approximate Computing (San Francisco, CA, 19. Juli 2020 - 24. Juli 2020)
Fickenscher J.:
Performance Modeling and Parallelization of Environment Perception and Path Planning Algorithms for Heterogeneous Advanced Driver Assistance System Architectures (Dissertation, 2020)
Groth S., Grünewald D., Teich J., Hannig F.:
A Runtime System for Finite Element Methods in a Partitioned Global Address Space
ACM International Conference on Computing Frontiers 2020 (Catania, Sicily, Italy, 11. Mai 2020 - 13. Mai 2020)
In: Proceedings of the 17th ACM International Conference on Computing Frontiers (CF) 2020
DOI: 10.1145/3387902.3392628
Hannig F., Navaridas J., Koch D., Abdelhadi A. (Hrsg.):
Proceedings of the 31st IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)
2020
ISBN: 978-1-7281-7147-0
DOI: 10.1109/ASAP49362.2020
Heidorn C., Hannig F., Teich J.:
Design Space Exploration for Layer-parallel Execution of Convolutional Neural Networks on CGRAs
International Workshop on Software and Compilers for Embedded Systems (SCOPES) (St. Goar, 25. Mai 2020 - 26. Mai 2020)
In: Proceedings of the 23rd International Workshop on Software and Compilers for Embedded Systems (SCOPES) 2020
DOI: 10.1145/3378678.3391878
Herkersdorf A., Engel M., Glaß M., Henkel J., Kleeberger VB., Kühn JM., Marwedel P., Mueller-Gritschneder D., Nassif SR., Rehman S., Rosenstiel W., Schlichtmann U., Shafique M., Teich J., Wehn N., Weis C.:
RAP Model - Enabling Cross-Layer Analysis and Optimization for System-on-Chip Resilience
In: Henkel, Jörg, Dutt, Nikil (Hrsg.): Dependable Embedded Systems, 2020
ISBN: 978-3-030-52017-5
DOI: 10.1007/978-3-030-52017-5_1
Kergaßner A., Burkhardt C., Lippold D., Kergaßner M., Pflug L., Budday D., Steinmann P., Budday S.:
Memory-based meso-scale modeling of Covid-19
In: Computational Mechanics (2020)
ISSN: 0178-7675
DOI: 10.1007/s00466-020-01883-5
Keszöcze O., Keiner B., Richter M., Antpöhler G., Wille R.:
(Semi)Automatic Translation of Legal Regulations to Formal Representations: Expanding the Horizon of EDA Applications
In: Mathias Soeken, Rolf Drechsler (Hrsg.): Natural Language Processing for Electronic Design Automation, Springer, 2020
ISBN: 978-3-030-52271-1
DOI: 10.1007/978-3-030-52273-5_1
Keszöcze O., König M., Brand M., Teich J.:
Error Analysis for Loop Programs using Anytime Instructions in Approximate Computing
Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (Stuttgart, 19. März 2020 - 20. März 2020)
Keszöcze O., Schmitz K., Schloeter J., Drechsler R.:
Improving SAT Solving Using Monte Carlo Tree Search-based Clause Learning
In: Rolf Drechsler, Mathias Soeken (Hrsg.): Advanced Boolean Techniques - Selected Papers from the 13th International Workshop on Boolean Problems, Springer International Publishing, 2020
ISBN: 978-3-030-20322-1
DOI: 10.1007/978-3-030-20323-8
URL: https://www.springerprofessional.de/advanced-boolean-techniques/16907760
Keszöcze O., Wille R., Drechsler R.:
One-pass Synthesis for Digital Microfluidic Biochips: A Survey
International Symposium on Devices, Circuits and Systems (Indian Institute of Engineering Science and Technology, Shibpur, Kolkata, 4. März 2020 - 6. März 2020)
DOI: 10.1109/ISDCS49393.2020.9263007
Lengauer C., Apel S., Bolten M., Chiba S., Rüde U., Teich J., Größlinger A., Hannig F., Köstler H., Claus L., Grebhahn A., Groth S., Kronawitter S., Kuckuk S., Rittich H., Schmitt C., Schmitt J.:
ExaStencils: Advanced multigrid solver generation
In: Hans-Joachim Bungartz, Severin Reiz, Benjamin Uekermann, Philipp Neumann, Wolfgang E. Nagel (Hrsg.): Lecture notes in computational science and engineering, Cham: Springer, 2020, S. 405-452 (Software for Exascale Computing SPPEXA 2016 – 2019, Bd.136)
ISBN: 978-3-030-47955-8
DOI: 10.1007/978-3-030-47956-5
URL: https://library.oapen.org/bitstream/handle/20.500.12657/41289/2020_Book_SoftwareForExascaleComputing-S.pdf?sequence=1#page=411
Lengauer C., Apel S., Bolten M., Chiba S., Rüde U., Teich J., Größlinger A., Hannig F., Köstler H., Claus L., Grebhahn A., Groth S., Kronawitter S., Kuckuk S., Rittich H., Schmitt C., Schmitt J.:
ExaStencils – Advanced Multigrid Solver Generation
In: Hans-Joachim Bungartz, Severin Reiz, Philipp Neumann, Benjamin Uekermann, Wolfgang Nagel (Hrsg.): Software for Exascale Computing – SPPEXA 2016-2019, Springer, 2020, S. 405-452 (Lecture Notes in Computer Science and Engineering, Bd.136)
ISBN: 978-3-030-47955-8
DOI: 10.1007/978-3-030-47956-5_14
URL: https://www12.cs.fau.de/downloads/hannig/publications/ExaStencils_Advanced_Multigrid_Solver_Generation.pdf
Letras M., Bustio L., Cumplido R., Hernández-León R., Feregrino C.:
On the design of hardware architectures for parallel frequent itemsets mining
In: Expert Systems With Applications 157 (2020)
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2020.113440.
Letras M., Falk J., Schwarzer T., Teich J.:
Multi-objective Optimization of Mapping Dataflow Applications to MPSoCs Using a Hybrid Evaluation Combining Analytic Models and Measurements
In: ACM Transactions on Design Automation of Electronic Systems 26 (2020), S. 1–33
ISSN: 1084-4309
DOI: 10.1145/3431814
Lukac M., Nursultan S., Krylov G., Keszöcze O.:
Geometric Refactoring of Quantum and Reversible Circuits: Quantum Layout
Euromicro Conference on Digital System Design
DOI: 10.1109/dsd51259.2020.00074
Lukac M., Nursultan S., Krylov G., Keszöcze O.:
Refactoring of Quantum and Reversible Circuits
International Workshop on Quantum Compilation (Cambridge, 23. September 2020 - 24. September 2020)
Mattauch S., Lohmann K., Hannig F., Lohmann D., Teich J.:
A Bibliometric Approach for Detecting the Gender Gap in Computer Science
In: Communications of the ACM 63 (2020), S. 39-45
ISSN: 0001-0782
DOI: 10.1145/3376901
Muradi M., Wanka R.:
Processing Time Optimization for Robot Applications
6th International Conference on Control, Automation and Robotics (ICCAR) (Singapore, 20. April 2020 - 23. April 2020)
In: IEEE (Hrsg.): Proc. 6th International Conference on Control, Automation and Robotics (ICCAR) 2020
DOI: 10.1109/ICCAR49639.2020.9108089
Muradi M., Wanka R.:
Sample-Based Motion Planning for Multi-Robot Systems
6th International Conference on Control, Automation and Robotics (ICCAR) (Singapore, 20. April 2020 - 23. April 2020)
In: IEEE (Hrsg.): Proc. 6th International Conference on Control, Automation and Robotics (ICCAR) 2020
DOI: 10.1109/ICCAR49639.2020.9108020
Pourmohseni B., Glaß M., Henkel J., Khdr H., Rapp M., Richthammer V., Schwarzer T., Smirnov F., Spieck J., Teich J., Weichslgartner A., Wildermann S.:
Hybrid Application Mapping for Composable Many-Core Systems: Overview and Future Perspective
In: Journal of Low Power Electronics and Applications 10 (2020), S. 1-37
ISSN: 2079-9268
DOI: 10.3390/jlpea10040038
URL: https://www.mdpi.com/892470
Pourmohseni B., Smirnov F., Wildermann S., Teich J.:
Real-Time Task Migration for Dynamic Resource Management in Many-Core Systems
Workshop on Next Generation Real-Time Embedded Systems (NG-RES) (Bologna, 21. Januar 2020)
In: Proceedings of the Workshop on Next Generation Real-Time Embedded Systems (NG-RES) 2020
DOI: 10.4230/OASIcs.NG-RES.2020.5
URL: https://drops.dagstuhl.de/opus/volltexte/2020/11781/
Pourmohseni B., Teich J.:
System-Level Mapping, Analysis, and Management of Real-Time Applications in Many-Core Systems
PhD Forum at the Design, Automation, and Test in Europe (DATE) Conference and Exhibition (Grenoble, France, 9. März 2020 - 13. März 2020)
URL: https://www12.cs.fau.de/downloads/pourmohseni/pub/phdForumDATE20.pdf
Qiao B., Reiche O., Teich J., Hannig F.:
Unveiling Kernel Concurrency in Multiresolution Filters on GPUs with an Image Processing DSL
13th Workshop on General Purpose Processing Using GPU (GPGPU) (San Diego, CA, USA, 23. Februar 2020 - 23. Februar 2020)
In: Proceedings of the 13th Workshop on General Purpose Processing Using GPU (GPGPU) 2020
DOI: 10.1145/3366428.3380773
Qiao B., Reiche O., Özkan MA., Teich J., Hannig F.:
Efficient Parallel Reduction on GPUs with Hipacc
23rd International Workshop on Software and Compilers for Embedded Systems (SCOPES) (Sankt Goar, 25. Mai 2020 - 26. Mai 2020)
In: Proceedings of the 23rd International Workshop on Software and Compilers for Embedded Systems (SCOPES) 2020
DOI: 10.1145/3378678.3391885
Qiao B., Özkan MA., Teich J., Hannig F.:
The Best of Both Worlds: Combining CUDA Graph with an Image Processing DSL
57th Annual Design Automation Conference (DAC) (San Francisco, CA, 19. Juli 2020 - 23. Juli 2020)
In: Proceedings of the 57th Annual Design Automation Conference (DAC) 2020
DOI: 10.1109/DAC18072.2020.9218531
Raß A.:
High Precision Particle Swarm Optimization Algorithm (HiPPSO)
In: Journal of Open Research Software 8 (2020), S. 4
ISSN: 2049-9647
DOI: 10.5334/jors.282
URL: https://openresearchsoftware.metajnl.com/articles/10.5334/jors.282/
Sabih M., Hannig F., Teich J.:
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks
(2020)
Open Access: https://arxiv.org/pdf/2008.09072
URL: https://arxiv.org/abs/2008.09072
(online publication)
Schwarzer T.:
System-level Mapping of Dataflow Applications onto MPSoCs (Dissertation, 2020)
Simon B., Falk J., Megow N., Teich J.:
Energy Minimization in DAG Scheduling on MPSoCs at Run-Time: Theory and Practice
Workshop on Next Generation Real-Time Embedded Systems (Bologna, 21. Januar 2020)
In: Proceedings of the Workshop on Next Generation Real-Time Embedded Systems (NG-RES) 2020
DOI: 10.4230/OASIcs.NG-RES.2020.2
URL: https://drops.dagstuhl.de/opus/volltexte/2020/11778/
Smirnov F., Pourmohseni B., Teich J.:
Using Learning Classifier Systems for the DSE of Adaptive Embedded Systems
Design, Automation and Test in Europe Conference and Exhibition (DATE) (Grenoble)
In: PROCEEDINGS OF THE 2020 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2020), NEW YORK: 2020
DOI: 10.23919/date48585.2020.9116383
Smirnov F., Pourmohseni B., Teich J.:
Using Learning Classifier Systems for the DSE of Dynamically Adaptable Embedded Systems
Design, Automation and Test in Europe Conference (Grenoble, 9. März 2020 - 13. März 2020)
Spieck J., Wildermann S., Teich J.:
Run-Time Scenario-Based MPSoC Mapping Reconfiguration Using Machine Learning Models
1st ACM/IEEE Workshop on Machine Learning for CAD (MLCAD) (Canmore, Alberta, Canada, 3. September 2019 - 4. September 2019)
In: Post-workshop proceedings of 2019 ACM/IEEE 1st Workshop on Machine Learning for CAD 2020
DOI: 10.1109/MLCAD48534.2019.9142060
Spieck J., Wildermann S., Teich J.:
Scenario-Based Soft Real-Time Hybrid Application Mapping for MPSoCs
57th Annual Design Automation Conference (DAC) (San Francisco, 19. Juli 2020 - 23. Juli 2020)
In: Proceedings of the 57th Annual Design Automation Conference (DAC) 2020
DOI: 10.1109/DAC18072.2020.9218537
Streit FJ., Fritz F., Becher A., Wildermann S., Werner S., Schmidt-Korth M., Pschyklenk M., Teich J.:
Secure Boot from Non-Volatile Memory for Programmable SoC-Architectures
International Symposium on Hardware Oriented Security and Trust (HOST) (San José, USA, 7. Dezember 2020 - 11. Dezember 2020)
In: IEEE Proceedings of the 13th International Symposium on Hardware Oriented Security and Trust 2020
DOI: 10.1109/HOST45689.2020.9300126
Streit FJ., Wituschek S., Pschyklenk M., Becher A., Lechner M., Wildermann S., Pitz I., Merklein M., Teich J.:
Data acquisition and control at the edge: a hardware/software-reconfigurable approach
In: Production Engineering 14 (2020), S. 365-371
ISSN: 0944-6524
DOI: 10.1007/s11740-020-00964-x
Teich J., Mahmoody P., Pourmohseni B., Roloff S., Schröder-Preikschat W., Wildermann S.:
Run-Time Enforcement of Non-functional Program Properties on MPSoCs
In: Jian-Jia Chen (Hrsg.): A Journey of Embedded and Cyber-Physical Systems, Springer, 2020
ISBN: 978-3-030-47487-4
DOI: 10.1007/978-3-030-47487-4
Teich J., Pourmohseni B., Keszöcze O., Spieck J., Wildermann S.:
Run-Time Enforcement of Non-Functional Application Requirements in Heterogeneous Many-Core Systems
Asia and South Pacific Design Automation Conference (ASP-DAC) (China National Convention Center, Beijing, China, 13. Januar 2020 - 16. Januar 2020)
DOI: 10.1109/ASP-DAC47756.2020.9045536
Traiola M., Echavarria Gutiérrez JA., Bosio A., Teich J., O'Connor I.:
Design Space Exploration of an Approximation-Based Fully Reliable TMR Alternative
8th Prague Embedded Systems Workshop (Horoměřice, 6. November 2020 - 7. November 2020)
Open Access: https://www12.cs.fau.de/downloads/echavarria/pub/Design_Space_Exploration_of_an_Approximation-Based_Fully_Reliable_TMR_Alternative.pdf
Walter D., Witterauf M., Teich J.:
Real-time Scheduling of I/O Transfers for Massively Parallel Processor Arrays
18th ACM-IEEE International Conference on Formal Methods and Models for System Design, MEMOCODE 2020 (Jaipur, India, 2. Dezember 2020 - 4. Dezember 2020)
In: Proceedings of the 18th ACM-IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE) 2020
DOI: 10.1109/MEMOCODE51338.2020.9315179
Wang B., Glaß M., Falk J., Ahmed I., Teich J.:
Exploration of Power Domain Partitioning with Concurrent Task Mapping and Scheduling for Application-specific Multi-core SoCs
33rd International Conference on Architecture of Computing Systems (ARCS) (Aachen, 25. Mai 2020 - 28. Mai 2020)
In: In Proc. of the 33rd International Conference on Architecture of Computing Systems (ARCS) 2020
DOI: 10.1007/978-3-030-52794-5_12
Wendler A., Keszöcze O.:
A fast BDD Minimization Framework for Approximate Computing
Design, Automation and Test in Europe (ALPEXPO, Grenoble, France, 9. März 2020 - 13. März 2020)
Özkan MA., Pérard-Gayot A., Membarth R., Slusallek P., Leißa R., Hack S., Teich J., Hannig F.:
AnyHLS: High-Level Synthesis with Partial Evaluation
International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) (Hamburg, 20. September 2020 - 25. September 2020)
DOI: 10.1109/tcad.2020.3012172
URL: https://arxiv.org/pdf/2002.05796.pdf
Özkan MA., Pérard-Gayot A., Membarth R., Slusallek P., Leißa R., Hack S., Teich J., Hannig F.:
AnyHLS: High-Level Synthesis with Partial Evaluation
In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39 (2020), S. 3202-3214
ISSN: 0278-0070
DOI: 10.1109/TCAD.2020.3012172
URL: https://arxiv.org/pdf/2002.05796.pdf

Es wurden leider keine Publikationen gefunden.

Lindner A., Berges MP.:
Can you explain AI to me? Teachers’ pre-concepts about Artificial Intelligence
IEEE Frontiers in Education Conference (FIE) (Uppsala, 21. Oktober 2020 - 24. Oktober 2020)
In: 2020 IEEE Frontiers in Education Conference (FIE) 2020
DOI: 10.1109/FIE44824.2020.9274136
Lindner A., Seegerer S.:
AI Unplugged – Künstliche Intelligenz ohne Computer unterrichten
In: LOG IN - Informatische Bildung und Computer in der Schule (2020), S. 81-84
ISSN: 0720-8642
Michaeli T., Romeike R.:
Investigating Students' Preexisting Debugging Traits: A Real World Escape Room Study
20th Koli Calling International Conference on Computing Education Research (Koli, Finland, 19. November 2020 - 22. November 2020)
In: Proceedings of the 19th Koli Calling International Conference on Computing Education Research, New York, USA: 2020
DOI: 10.1145/3428029.3428044
Michaeli T., Seegerer S., Jatzlau S.:
Kein Hexenwerk – Ideen des maschinellen Lernens in Snap!
In: LOG IN - Informatische Bildung und Computer in der Schule (2020), S. 76-80
ISSN: 0720-8642
URL: https://computingeducation.de/pub/2020_Michaeli-Seegerer-Jatzlau_LOGIN.pdf
Michaeli T., Seegerer S., Jatzlau S., Romeike R.:
Looking Beyond Supervised Classification and Image Recognition – Unsupervised Learning with Snap!
Constructionism 2020: Exploring, Testing and Extending our Understanding of Constructionism conference proceedings (Dublin)
In: Constructionism 2020: Exploring, Testing and Extending our Understanding of Constructionism conference proceedings 2020
URL: https://computingeducation.de/pub/2020_Michaeli-Seegerer-Jatzlau-Romeike_Constructionism20.pdf
Palmer Parreira S., Martschinke S., Romeike R.:
Informatische (Grund-)Bildung schon in der Grundschule? Erste Ergebnisse zu einer Evaluationsstudie.
In: Ingelore Mammes, Lydia Murmann (Hrsg.): Technische Bildung im Elementar- und Primarbereich, Bad Heilbrunn: Klinkhardt, 2020 (GDSU- Forschungsband, Bd.11)
DOI: 10.35468/5869-08
Seegerer S., Michaeli T., Lindner A., Romeike R., Koerber B.:
EDITORIAL: Jetzt ist KI-Sommer!
In: LOG IN - Informatische Bildung und Computer in der Schule (2020), S. 3
ISSN: 0720-8642
URL: https://computingeducation.de/pub/2020_Editorial_LOGIN.pdf
Seegerer S., Michaeli T., Romeike R.:
Investigating How Novices Use and Collaborate with a Version Control System for Block-Based Languages
LaTiCE2020: The Seventh International Conference on Learning and Teaching in Computing and Engineering (Ho Chi Minh City)
In: LaTiCE2020: The Seventh International Conference on Learning and Teaching in Computing and Engineering 2020
URL: https://computingeducation.de/pub/2020_Seegerer-Michaeli-Romeike_LATICSE20.pdf
Seegerer S., Michaeli T., Romeike R.:
So lernen Maschinen
In: LOG IN - Informatische Bildung und Computer in der Schule (2020), S. 25-29
ISSN: 0720-8642
URL: https://computingeducation.de/pub/2020_Seegerer-Michaeli-Romeike_LOGIN.pdf
(Zeitungsartikel)
Seegerer S., Michaeli T., Waite J.:
Collaboration in programming projects
In: Hello World Issue 13 (2020), S. 60-61
Open Access: https://helloworld.raspberrypi.org/
URL: https://computingeducation.de/pub/2020_Seegerer-Michaeli-Waite_HELLOWORLD13.pdf

Afzal A., Hager G., Wellein G.:
Desynchronization and Wave Pattern Formation in MPI-Parallel and Hybrid Memory-Bound Programs
35th International Conference on High Performance Computing, ISC High Performance 2020 (Frankfurt, 22. Juni 2020 - 25. Juni 2020)
In: Ponnuswamy Sadayappan, Bradford L. Chamberlain, Guido Juckeland, Hatem Ltaief (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-50743-5_20
Alappat C., Basermann A., Bishop AR., Fehske H., Hager G., Schenk O., Thies J., Wellein G.:
A Recursive Algebraic Coloring Technique for Hardware-efficient Symmetric Sparse Matrix-vector Multiplication
In: ACM Transactions on Parallel Computing 7 (2020), Art.Nr.: 19
ISSN: 2329-4949
DOI: 10.1145/3399732
Alappat C., Hofmann J., Hager G., Fehske H., Bishop AR., Wellein G.:
Understanding HPC benchmark performance on intel broadwell and cascade lake processors
35th International Conference on High Performance Computing, ISC High Performance 2020 (Frankfurt, 22. Juni 2020 - 25. Juni 2020)
In: Ponnuswamy Sadayappan, Bradford L. Chamberlain, Guido Juckeland, Hatem Ltaief (Hrsg.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-50743-5_21
Alappat C., Laukemann J., Gruber T., Hager G., Wellein G., Meyer N., Wettig T.:
Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX
2020 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, PMBS 2020 (, 12. November 2020)
In: Proceedings of PMBS 2020: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems 2020
DOI: 10.1109/PMBS51919.2020.00006
Cremonesi F., Hager G., Wellein G., Schuermann F.:
Analytic performance modeling and analysis of detailed neuron simulations
In: International Journal of High Performance Computing Applications (2020)
ISSN: 1094-3420
DOI: 10.1177/1094342020912528
Ernst D., Hager G., Thies J., Wellein G.:
Performance engineering for a tall & skinny matrix multiplication kernels on GPUs
13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019 (Bialystok, Poland, 8. September 2019 - 11. September 2019)
In: Lecture Notes in Computer Science book series (LNCS, volume 12043), Cham: 2020
DOI: 10.1007/978-3-030-43229-4_43
Ernst D., Hager G., Thies J., Wellein G.:
Performance engineering for real and complex tall & skinny matrix multiplication kernels on GPUs
In: International Journal of High Performance Computing Applications (2020)
ISSN: 1094-3420
DOI: 10.1177/1094342020965661
Hofmann J., Alappat C., Hager G., Fey D., Wellein G.:
Bridging the architecture gap: Abstracting performance-relevant properties of modern server processors
In: Supercomputing Frontiers and Innovations 7 (2020), S. 54-78
ISSN: 2409-6008
DOI: 10.14529/jsfi200204
Klawonn A., Lanser M., Rheinbach O., Wellein G., Wittmann M.:
Energy efficiency of nonlinear domain decomposition methods
In: International Journal of High Performance Computing Applications (2020)
ISSN: 1094-3420
DOI: 10.1177/1094342020953891
Klawonn A., Lanser M., Uran M., Rheinbach O., Köhler S., Schröder J., Scheunemann L., Brands D., Balzani D., Gandhi A., Wellein G., Wittmann M., Schenk O., Janalík R.:
Exasteel: Towards a virtual laboratory for the multiscale simulation of dual-phase steel using high-performance computing
In: Lecture Notes in Computational Science and Engineering, Springer, 2020, S. 351-404 (Lecture Notes in Computational Science and Engineering, Bd.136)
DOI: 10.1007/978-3-030-47956-5_13
Thies J., Röhrig-Zöllner M., Overmars N., Basermann A., Ernst D., Hager G., Wellein G.:
PHIST: A Pipelined, Hybrid-Parallel Iterative Solver Toolkit
In: Acm Transactions on Mathematical Software 46 (2020), Art.Nr.: 3402227
ISSN: 0098-3500
DOI: 10.1145/3402227

Berenjkoub M., Chen G., Günther T.:
Vortex Boundary Identification using Convolutional Neural Network
IEEE Visualization - Short Papers (Salt Lake City, 25. Oktober 2020 - 30. Oktober 2020)
DOI: 10.1109/VIS47514.2020.00059
Franke L., Fink L., Martschinke J., Selgrad K., Stamminger M.:
Time‐Warped Foveated Rendering for Virtual Reality Headsets
In: Computer Graphics Forum 40 (2020), S. 110-123
ISSN: 0167-7055
DOI: 10.1111/cgf.14176
URL: https://www.lgdv.tf.fau.de/?p=1980
Hofmann N., Martschinke J., Engel K., Stamminger M.:
Neural Denoising for Path Tracing of Medical Volumetric Data
High-Performance Graphics 2020 (Online, 13. Juli 2020 - 16. Juli 2020)
In: ACM (Hrsg.): Proceedings of the ACM on Computer Graphics and Interactive Techniques 2020
DOI: 10.1145/3406181
URL: https://www.lgdv.tf.fau.de/?p=2278
Thies LT., Stamminger M., Bauer F.:
Learning Kinematic Machine Models from Videos for VR/AR training
3rd International Conference on Artificial Intelligence & Virtual Reality (Utrecht, Netherlands, 14. Dezember 2020 - 18. Dezember 2020)
In: 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) 2020
DOI: 10.1109/AIVR50618.2020.00028
URL: https://www.lgdv.tf.fau.de/?p=2280

Barcomb A., Kaufmann A., Riehle D., Stol KJ., Fitzgerald B.:
Uncovering the Periphery: A Qualitative Survey of Episodic Volunteering in Free/Libre and Open Source Software Communities
In: IEEE Transactions on Software Engineering (2020), S. 962-980
ISSN: 0098-5589
DOI: 10.1109/TSE.2018.2872713
Bauer A., Harutyunyan N., Riehle D., Schwarz GD.:
Challenges of Tracking and Documenting Open Source Dependencies in Products: A Case Study
OSS 2020: 16th International Conference on Open Source Systems (Innopolis, Russia, 13. Mai 2020 - 14. Mai 2020)
In: Alberto Sillitti, Artem Kruglov, Giancarlo Succi, Sergey Masyagin, Vladimir Ivanov (Hrsg.): Proceedings of the 16th International Conference on Open Source Systems 2020 (OSS 2020) 2020
DOI: 10.1007/978-3-030-47240-5_3
URL: https://oss.cs.fau.de/wp-content/uploads/2020/05/Challenges_of_Tracking_and_Documenting_Open_Source_Dependencies_in_Products_A_Case_Study.pdf
Capraro M.:
Measuring Inner Source Collaboration (Dissertation, 2020)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/start/2/rows/20/sortfield/score/sortorder/desc/searchtype/simple/query/capraro/docId/14005
Harutyunyan N.:
Managing Your Open Source Supply Chain - Why and How?
In: Computer 53 (2020), S. 77-81
ISSN: 0018-9162
DOI: 10.1109/MC.2020.2983530
URL: https://oss.cs.fau.de/wp-content/uploads/2020/06/ieee-computer-2020-harutyunyan.pdf
Harutyunyan N., Riehle D.:
Industry Best Practices for Component Approval in FLOSS Governance
25th European Conference on Pattern Languages of Programs, EuroPLoP ’20 (Virtual, 1. Juli 2020 - 5. Juli 2020)
DOI: 10.1145/3424771.3424791
URL: https://oss.cs.fau.de/wp-content/uploads/2021/01/europlop-2020-harutyunyan-riehle.pdf
Harutyunyan N., Riehle D., Sathya G.:
Industry Best Practices for Corporate Open Sourcing
53rd Hawaii International Conference on System Sciences, HICSS '20 (Wailea, 7. Januar 2020 - 10. Januar 2020)
DOI: 10.24251/hicss.2020.716
URL: http://hdl.handle.net/10125/64458
Kaufmann A., Barcomb A., Riehle D.:
Supporting Interview Analysis with Autocoding
Hawaii International Conference on System Sciences (Honolulu, USA, 7. Januar 2020 - 10. Januar 2020)
In: 53rd Hawaii International Conference on System Sciences (HICSS 2020), Piscataway, NJ, USA: 2020
DOI: 10.24251/hicss.2020.094
URL: https://osr.cs.fau.de/wp-content/uploads/2019/09/kaufmann-2020-supporting.pdf
Krause J., Kaufmann A., Riehle D.:
The Code System of a Systematic Literature Review on Pre-Requirements Specification Traceability
(2020)
DOI: 10.25593/issn.2191-5008/CS-2020-02
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/14468
(Techreport)
Rechenmacher T., Riehle D., Weber M.:
The JDownloader Immune System for Continuous Deployment
The 53rd Hawaii International Conference on System Sciences
In: Proceedings of the 53rd Hawaii International Conference on System Sciences 2020
DOI: 10.24251/hicss.2020.803
URL: https://dirkriehle.com/?p=12185
Riehle D.:
Single-Vendor Open Source Firms
In: Computer 53 (2020), S. 68-72
ISSN: 0018-9162
DOI: 10.1109/MC.2020.2969672
Riehle D., Harutyunyan N., Barcomb A.:
Pattern Discovery and Validation Using Scientific Research Methods.
In: Technical Report CS-2020-01, Erlangen, Germany.: Friedrich-Alexander-Universität Erlangen-Nürnberg, Dept. of Computer Science,, 2020
(Techreport)
Schwab B., Riehle D., Barcomb A., Harutyunyan N.:
The Ecosystem of openKONSEQUENZ, a User-Led Open Source Foundation
16th International Conference on Open Source Systems 2020 (Innopolis, 12. Mai 2020 - 14. Mai 2020)
In: Proceedings of the 16th International Conference on Open Source Systems 2020 (OSS 2020) 2020
DOI: 10.1007/978-3-030-47240-5_1
URL: https://osr.cs.fau.de/wp-content/uploads/2020/03/Ecosystem_of_openKONSEQUENZ_a_User_Led_Open_Source_Foundation.pdf
Schwarz GD., Riehle D.:
What Microservices Can Learn From Enterprise Information Integration
Hawaii International Conference on System Sciences
In: HICSS-53 2020
DOI: 10.24251/hicss.2020.678
URL: https://scholarspace.manoa.hawaii.edu/bitstream/10125/64420/0545.pdf

Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)

Lehrstuhl für Informatik 2 (Programmiersysteme)

Lehrstuhl für Informatik 3 (Rechnerarchitektur)

Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme)

Lehrstuhl für Informatik 5 (Mustererkennung)

Lehrstuhl für Informatik 6 (Datenmanagement)

Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)

Lehrstuhl für Informatik 8 (Theoretische Informatik)

Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)

Lehrstuhl für Informatik 10 (Systemsimulation)

Lehrstuhl für Informatik 11 (Software-Engineering)

Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Professur (Medizininformatik - Forschungsgruppe M)

Professur für Didaktik der Informatik

Professur für Höchstleistungsrechnen

Professur für Informatik (Visualisierung)

Professur für Open Source Software