Publikationen
2025
- Maximilian Schlosser, Markus Krüger, Amro Daboul, Tatyana Ivanovska. 2025. Application of Deep Statistical Shape Modeling for Analysis of Obstructive Sleep Apnea from MRI Data. In: Shape in Medical Imaging, pages 123–136, Cham. Springer Nature Switzerland. ISBN 978-3-031-75291-9. DOI 10.1007/978-3-031-75291-9_10.
2024
- George Dimitrakopoulos, Pal Varga, Thomas Gutt, Germar Schneider, Hans Ehm, Alfred Höß. 2024. Industry 5.0: Research Areas and Challenges With Artificial Intelligence and Human Acceptance. IEEE Industrial Electronics Magazine, pages 2-13. DOI 10.1109/MIE.2024.3387068.
- Stephan Prettner, Tatyana Ivanovska. 2024. Non-specialist Versus Neural Network: An Example of Gender Classification from Abdominal CT Data. In: BVM Workshop, pages 249–254, DOI 10.1007/978-3-658-44037-4_69.
- Patrick Levi, Christoph P. Neumann. 2024. Vocabulary Attack to Hijack Large Language Model Applications. In: Proc of the 15th International Conference on Cloud Computing, GRIDs, and Virtualization (Cloud Computing 2024), pages 19–24, Venice, Italy. DOI 10.48550/arXiv.2404.02637.
- Sebastian Steindl, Ulrich Schäfer, Bernd Ludwig. 2024. Counterfactual Dialog Mixing as Data Augmentation for Task-Oriented Dialog Systems. In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 4078–4087, Torino, Italy. ELRA and ICCL. https://aclanthology.org/2024.lrec-main.363.
- Sebastian Steindl, Ulrich Schäfer, Bernd Ludwig, Patrick Levi. 2024. Linguistic Obfuscation Attacks and Large Language Model Uncertainty. In: Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024), pages 35–40, St Julians, Malta. Association for Computational Linguistics. https://aclanthology.org/2024.uncertainlp-1.4.
- Sebastian Steindl, Tamara Graf, Ulrich Schäfer. 2024. MondAI – Montagsmaler mit Künstlicher Intelligenz. In: Forschungsbericht 2024, pages 158–162, Amberg, Germany. OTH Amberg-Weiden. ISSN 2365-1997.
2023
- Signe M. M. Brinkløv, Jamie Macaulay, Christian Bergler, Jakob Tougaard, Kristian Beedholm, Morten Elmeros, Peter Teglberg Madsen. 2023. Open-source workflow approaches to passive acoustic monitoring of bats. Methods in Ecology and Evolution 14(7):1747-1763. DOI doi.org/10.1111/2041-210X.14131.
- Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, others. 2023. A summary of the ComParE COVID-19 challenges. Frontiers in Digital Health 5:1058163. Frontiers.
- Sebastian P. Bayerl, Maurice Gerczuk, Anton Batliner, Christian Bergler, Shahin Amiriparian, Björn Schuller, Elmar Nöth, Korbinian Riedhammer. 2023. Classification of stuttering – The ComParE challenge and beyond. Computer Speech & Language 81:101519. ISSN 0885-2308. DOI doi.org/10.1016/j.csl.2023.101519.
- Christopher Hauer, Elmar Noeth, Alex Barnhill, Andreas Maier, Julius Guthunz, Heribert Hofer, Rachael Xi Cheng, Volker Barth, Christian Bergler. 2023. ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation. Scientific Reports 13. DOI 10.1038/s41598-023-38132-7.
- George Dimitrakopoulos, Thomas Gutt, Hans Ehm, Alfred Höß, Konstantina Karathanasopoulou, Anna Lackner, Germar Schneider. 2023. On the Way to Realize the 5th Industrial Revolution: Achievements, Challenges and Research Areas. In: NOMS 2023, IEEE/IFIP Network Operations and Management Symposium, Miami, FL, USA, May 8-12, 2023, pages 1–6, IEEE. DOI 10.1109/NOMS56928.2023.10154446.
- Markus Krüger, Anne Obst, Till Ittermann, Olaf Bernhardt, Tatyana Ivanovska, Marek Zygmunt, Ralf Ewert, Ingo Fietze, Thomas Penzel, Reiner Biffar, others. 2023. Menopause Is Associated with Obstructive Sleep Apnea in a Population-Based Sample from Mecklenburg–Western Pomerania, Germany. Journal of Clinical Medicine 12(6):2101. MDPI. DOI 10.3390/jcm12062101.
- Markus Krüger, Anne Obst, Olaf Bernhardt, Ralf Ewert, Thomas Penzel, Beate Stubbe, Ingo Fietze, Tatyana Ivanovska, Reiner Biffar, Amro Daboul. 2023. Socioeconomic factors do not predict sleep apnea in a population sample from Mecklenburg-Western Pomerania, Germany. Sleep and Breathing 27(2):459–467. Springer. DOI 10.1007/s11325-022-02614-1.
- Amro Daboul, Markus Krüger, Tatyana Ivanovska, Anne Obst, Ralf Ewert, Beate Stubbe, Ingo Fietze, Thomas Penzel, Norbert Hosten, Reiner Biffar, others. 2023. Do brachycephaly and nose size predict the severity of obstructive sleep apnea (OSA)? A sample-based geometric morphometric analysis of craniofacial variation in relation to OSA syndrome and the role of confounding factors. Journal of Sleep Research 32(3):e13801. Wiley Online Library. DOI 10.1111/jsr.13801.
- Maximilian Schlosser, Stephan Prettner, Tatyana Ivanovska. 2023. On Analysis of Swin UNETR: a Robust Architecture for Medical Image Segmentation. In: 2023 1st International Conference on Optimization Techniques for Learning (ICOTL), pages 1–6, DOI 10.1109/ICOTL59758.2023.10435236.
- Tatyana Ivanovska, Markus Krüger, Amro Daboul. 2023. Epidemiological Image Analysis: Insights, Perspectives, and Challenges. In: 2023 1st International Conference on Optimization Techniques for Learning (ICOTL), pages 1–5, DOI 10.1109/ICOTL59758.2023.10435082.
- Anastasia Chernysheva, Jakob Götz, Ardian Imeraj, Patrice Korinth, Philipp Stangl, Christoph P. Neumann. 2023. SGDb Semantic Video Game Database: Svelte- und Ontotext-basierte Webanwendung mit einer Graphen-Suche für Videospiele. DOI 10.13140/RG.2.2.11272.60160. Technischer Bericht CL-2023-02
- Amir Pakmehr, Andreas Aßmuth, Christoph P. Neumann, Gerald Pirkl. 2023. Security Challenges for Cloud or Fog Computing-Based AI Applications. CoRR abs/2310.19459. DOI 10.48550/ARXIV.2310.19459.
- Sebastian Steindl, Martin Surner. 2023. CIP-ES: Causal Input Perturbation for Explanation Surrogates. In: Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, CACML 2023, Shanghai, China, March 17-19, 2023, pages 569–574, ACM. DOI 10.1145/3590003.3590107.
- Sebastian Steindl, Ulrich Schäfer, Bernd Ludwig. 2023. Controlled Data Augmentation for Training Task-Oriented Dialog Systems with Low Resource Data. In: Proceedings of the 2nd Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning, pages 92–102, Singapore. Association for Computational Linguistics. DOI 10.18653/v1/2023.pandl-1.9. https://aclanthology.org/2023.pandl-1.9.
- Sebastian Steindl, Ulrich Schäfer, Bernd Ludwig. 2023. Generating Synthetic Dialogues from Prompts to Improve Task-Oriented Dialogue Systems. In: KI-2023: Advances in Artificial Intelligence, pages 207–214, Cham. Springer Nature Switzerland. ISBN 978-3-031-42608-7. DOI 10.1007/978-3-031-42608-7_17.
- Sebastian Steindl, Ulrich Schäfer. 2023. Teaching Natural Language Processing in an Artificial Intelligence Master’s Study Program with Focus on Industrial Applications and for Professional Training. In: KONVENS-2023 Workshop on Teaching for Natural Language Processing (Teach4NLP) Posters, Ingolstadt.
2022
- Mostafa M. Mohamed, Mina A. Nessiem, Anton Batliner, Christian Bergler, Simone Hantke, Maximilian Schmitt, Alice Baird, Adria Mallol-Ragolta, Vincent Karas, Shahin Amiriparian, Björn W. Schuller. 2022. Face mask recognition from audio: The MASC database and an overview on the mask challenge. Pattern Recognition 122:108361. ISSN 0031-3203. DOI doi.org/10.1016/j.patcog.2021.108361.
- Christian Bergler, Manuel Schmitt, Andreas Maier, Rachael Xi Cheng, Volker Barth, Elmar Nöth. 2022. ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning. In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1046-1050, DOI 10.1109/ICASSP43922.2022.9746623.
- Christian Bergler, Alexander Barnhill, Dominik Perrin, Manuel Schmitt, Andreas Maier, Elmar Nöth. 2022. ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning. In: Proc. Interspeech 2022, pages 2413–2417, DOI 10.21437/Interspeech.2022-846.
- Björn Schuller, Anton Batliner, Shahin Amiriparian, Christian Bergler, Maurice Gerczuk, Natalie Holz, Pauline Larrouy-Maestri, Sebastien Bayerl, Korbinian Riedhammer, Adria Mallol-Ragolta, Maria Pateraki, Harry Coppock, Ivan Kiskin, Marianne Sinka, Stephen Roberts. 2022. The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes. In: Proceedings of the 30th ACM International Conference on Multimedia, pages 7120–7124, New York, NY, USA. Association for Computing Machinery. ISBN 9781450392037. DOI 10.1145/3503161.3551591.
- Christian Bergler, Simeon Smeele, Stephen Tyndel, Alex Barnhill, Sara Torres Ortiz, Ammie Kalan, Rachael Xi Cheng, Signe Brinkløv, Anna Osiecka, Jakob Tougaard, Freja Jakobsen, Magnus Wahlberg, Elmar Noeth, Andreas Maier, Barbara Klump. 2022. ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning. Scientific Reports 12:21966. DOI 10.1038/s41598-022-26429-y.
- Josef Schmid, Alfred Höß, Björn W. Schuller. 2022. A Survey on Client Throughput Prediction Algorithms in Wired and Wireless Networks. ACM Comput. Surv. 54(9):194:1–194:33. DOI 10.1145/3477204.
- Mathias Schneider, Ruben Prokscha, Seifeddine Saadani, Alfred Höß. 2022. ECBA-MLI: Edge Computing Benchmark Architecture for Machine Learning Inference. In: IEEE International Conference on Edge Computing and Communications, EDGE 2022, Barcelona, Spain, July 10-16, 2022, pages 23–32, IEEE. DOI 10.1109/EDGE55608.2022.00016.
- Topi Miekkala, Matti Kutila, Mathias Schneider, Alfred Höß. 2022. Optimizing 3D Object Detection for Embedded Systems in Automated Vehicles Using Sensor Data Fusion and CUDA Computing. In: 18th IEEE International Conference on Intelligent Computer Communication and Processing, ICCP 2022, Cluj-Napoca, Romania, September 22-24, 2022, pages 113–118, IEEE. DOI 10.1109/ICCP56966.2022.10053969.
- Sebastian Steindl, Tatyana Ivanovska, Fabian Brunner. 2022. Pathologiespezifische Behandlung von Labelunsicherheit bei der Klassifikation von Thorax-Röntgenbildern. In: Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022, pages 303–308, DOI 10.1007/978-3-658-36932-3_63.
- Bastian Hahn, Martin Kleber, Andreas Klier, Lukas Kreussel, Felix Paris, Andreas Ziegler, Christoph P. Neumann. 2022. Twitter-Dash: React- und .NET-basierte Trend- und Sentiment-Analysen. DOI 10.13140/RG.2.2.15466.90564. Technischer Bericht CL-2022-07
- Tobias Bauer, Fabian Beer, Daniel Holl, Ardian Imeraj, Konrad Schweiger, Philipp Stangl, Wolfgang Weigl, Christoph P. Neumann. 2022. Reddiment: Eine SvelteKit- und ElasticSearch-basierte Reddit Sentiment-Analyse. DOI 10.13140/RG.2.2.32244.12161. Technischer Bericht CL-2022-06
- Fabio Ferreira, Thomas Nierhoff, Andreas Sälinger, Frank Hutter. 2022. Learning Synthetic Environments and Reward Networks for Reinforcement Learning. In: The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, OpenReview.net. https://openreview.net/forum?id=C1_esHN6AVn.
- Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang. 2022. Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019. CoRR abs/2201.03801. https://arxiv.org/abs/2201.03801.
- Fabio Ferreira, Thomas Nierhoff, Andreas Saelinger, Frank Hutter. 2022. Learning Synthetic Environments and Reward Networks for Reinforcement Learning. CoRR abs/2202.02790. https://arxiv.org/abs/2202.02790.
- Andreas Dörner, Marek Bures, Gerald Pirkl. 2022. Searching for the Gaps in Mental Workload Assessment of Assistive Technologies. In: IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022, Kuala Lumpur, Malaysia, December 7-10, 2022, pages 67–70, IEEE. DOI 10.1109/IEEM55944.2022.9989752.
- Sebastian Steindl, Tatyana Ivanovska, Fabian Brunner. 2022. Pathologiespezifische Behandlung von Labelunsicherheit bei der Klassifikation von Thorax-Röntgenbildern. In: Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022, pages 303–308, Springer. DOI 10.1007/978-3-658-36932-3_63. Informatik Aktuell
2021
- Christian Bergler, Manuel Schmitt, Andreas Maier, Helena Symonds, Paul Spong, Steven R. Ness, George Tzanetakis, Elmar Nöth. 2021. ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification. In: Proc. Interspeech 2021, pages 2396–2400, DOI 10.21437/Interspeech.2021-616.
- Guanxin Jiang, Arijit Biswas, Christian Bergler, Andreas Maier. 2021. InSE-NET: A Perceptually Coded Audio Quality Model based on CNN. In: Audio Engineering Society Convention 151, https://www.aes.org/e-lib/browse.cfm?elib=21478.
- Christian Marzahl, Marc Aubreville, Christof Bertram, Jennifer Maier, Christian Bergler, Christine Kröger, Jörn Voigt, Katharina Breininger, Robert Klopfleisch, Andreas Maier. 2021. EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control. Scientific Reports 11:4343. DOI 10.1038/s41598-021-83827-4.
- Christian Bergler, Alexander Gebhard, Jared Towers, Leonid Butyrev, Gary Sutton, Tasli Shaw, Andreas Maier, Elmar Noeth. 2021. FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales. Scientific Reports 11:23480. DOI 10.1038/s41598-021-02506-6.
- Norbert Druml, Anna Ryabokon, Rupert Schorn, Jochen Koszescha, Kaspars Ozols, Aleksandrs Levinskis, Rihards Novickis, Ethiopia Nigussie, Jouni Isoaho, Selim Solmaz, Georg Stettinger, Sergio E. Diaz, Mauricio Marcano, Jorge Villagra, Juan Medina, Martina Schwarz, Antonio Artuñedo, Mauro Comi, Rutger Beekelaar, Onur Özçelik, Elif Aksu Tasdelen, Yesim Gürbüz, Jan Saijets, Jukka Kyynäräinen, Dmitry Morits, Björn Debaillie, Maxim Rykunov, Joan Escamilla, Jarno Vanne, Tomi Korhonen, Kalle Holma, Eva-Maria Matzhold, Carlo Novara, Fabio Tango, Paolo Burgio, Giuseppe Calafiore, Milad Karimshoushtari, Emilie Boulay, Miguel Dhaens, Kylian Praet, Han Zwijnenberg, Henri Palm, David Aledo Ortega, Ercan Kalali, Tuomas Pensala, Arto Kyytinen, Morten Larsen, Omar Veledar, Georg Macher, Michael Lafer, Lorenzo Giraudi, Jakob Reckenzaun, Daniel Hammer, Naveen Mohan, Josef Schmid, Alfred Höß, Shai Ophir, Anand Dubey, Jonas Fuchs, Maximilian Lübke, Andrei Anghel, Nicolae-Catalin Ristea, Martin Törngren, Alua Musralina, Marlene Harter, Joseena Memadathil Jose, George Dimitrakopoulos. 2021. Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3. In: 24th Euromicro Conference on Digital System Design, DSD 2021, Virtual Event / Palermo, Sicily, Italy, September 1-3, 2021, pages 268–277, IEEE. DOI 10.1109/DSD53832.2021.00049.
- Roman Babl, Josef Schmid, Alfred Höß. 2021. Analysis and evaluation of the communication requirements for remote operating an automated bus in rural areas. In: 24th IEEE International Intelligent Transportation Systems Conference, ITSC 2021, Indianapolis, IN, USA, September 19-22, 2021, pages 693–698, IEEE. DOI 10.1109/ITSC48978.2021.9564828.
- Josef Schmid, Patrick Purucker, Mathias Schneider, Rick vander Zwet, Morten Larsen, Alfred Höß. 2021. Integration of a RTT Prediction into a Multi-path Communication Gateway. In: Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops - DECSoS, MAPSOD, DepDevOps, USDAI, and WAISE, York, UK, September 7, 2021, Proceedings, pages 201–212, Springer. DOI 10.1007/978-3-030-83906-2_16. Lecture Notes in Computer Science
- Tatyana Ivanovska, Amro Daboul, Oleksandr Kalentev, Norbert Hosten, Reiner Biffar, Henry Völzke, Florentin Wörgötter. 2021. A deep cascaded segmentation of obstructive sleep apnea-relevant organs from sagittal spine MRI. International Journal of Computer Assisted Radiology and Surgery 16:579–588. Springer. DOI 10.1007/s11548-021-02333-0.
- Tatyana Ivanovska, Amro Daboul, Oleksandr Kalentev, Norbert Hosten, Henry Völzke, Reiner Biffar, Florentin Wörgötter. 2021. On Efficient Segmentation of Parapharyngeal Fat Pads From Population-based MRIs: An Obstructive Sleep Apnea Application. In: 2021 6th International Conference on Communication, Image and Signal Processing (CCISP), pages 178–182, DOI 10.1109/CCISP52774.2021.9639319.
- Tatyana Ivanovska, Andrian O Paulus, Robert Martin, Babak Panahi, Arndt Schilling. 2021. On Efficient Extraction of Pelvis Region from CT Data. In: Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021, pages 270–275, DOI 10.1007/978-3-658-33198-6_65.
- Jan Meiswinkel, Patrick Levi, Rainer Hoch. 2021. The Significance of Computational Performance for Enterprise AI in Question-Answering. In: Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021, CEUR-WS.org. https://ceur-ws.org/Vol-2846/paper33.pdf. CEUR Workshop Proceedings
- Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang. 2021. Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. IEEE Trans. Pattern Anal. Mach. Intell. 43(9):3108–3125. DOI 10.1109/TPAMI.2021.3075372.
- Fabio Ferreira, Thomas Nierhoff, Frank Hutter. 2021. Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies. CoRR abs/2101.09721. https://arxiv.org/abs/2101.09721.