Publikationen
peer-reviewed
Sebastian Steindl, Ulrich Schäfer, Bernd Ludwig. 2025. CoPrUS: Consistency Preserving Utterance Synthesis towards more realistic benchmark dialogues. In: Proceedings of the 31th International Conference on Computational Linguistics (COLING 2025), pages 5902–5917, Abu Dhabi, UAE. Association for Computational Linguistics.
Sebastian Steindl, Ulrich Schäfer, Bernd Ludwig. 2025. MonoTODia: Translating Monologue Requests to Task-Oriented Dialogues. In: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track), pages 390–403, Albuquerque, New Mexico. DOI 10.18653/v1/2025.naacl-industry.33. Association for Computational Linguistics.
Kevin Fischer, Darren Fürst, Sebastian Steindl, Jakob Lindner, Ulrich Schäfer. 2025. How do Large Language Models perform on the Question Answering tasks? In: Arai, K. (eds) Intelligent Computing. CompCom 2025. Lecture Notes in Networks and Systems, vol 1424, pages 167–182. Springer Nature Switzerland, Cham. DOI 10.1007/978-3-031-92605-1_12. arXiv preprint: https://arxiv.org/abs/2412.12893.
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. DOI 10.1007/978-3-031-75291-9_10.
Barnhill A., Traub O., Maier A., Nöth E., Bergler C. 2025. Same Semantics of the Signal - What do we Cluster with what Representation, International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Hyderabad, India, April 6, 2025 - April 11, 2025), ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025, DOI 10.1109/ICASSP49660.2025.10889674.
Schuster J., Woelfel A., Brunner F., Bergler C. 2025. PredTrAD – Prediction-based Transformer for Anomaly Detection in Multivariate Time Series Data, 26th Annual Conference of the International Speech Communication Association, INTERSPEECH 2025 (Rotterdam, The Netherlands, August 17, 2025 - August 21, 2025), Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2025, accepted
Bernhard Vogginger, Chen Liu, Felix Kreutz, Florian Kelber, Seifeddine Saadani, Klaus Knobloch, Alfred Höß, Cyprian Grassmann, and Christian Mayr. 2025. Automotive Radar Processing with Neuromorphic Hardware: A Case Study from the KI-ASIC Project. 16th German Microwave Conference (GeMiC), pages 630–633. DOI 10.23919/GeMiC64734.2025.10979154
Jonathan Kraus, Kilian Sperber, Ulf Kreuziger, Henry Meißner. 2025. Ein effizienter KI-Workflow zur Detektion und Segmentierung von Freiflächen-Photovoltaikanlagen in ganz Bayern. zfv – Zeitschrift für Geodäsie, Geoinformation und Landmanagement, pages 113–122. Augsburg, Germany. ISSN 16188950 (Print), 29448301 (Online). DOI 10.12902/zfv-0504-2025.
Hauke Nannen, Heiko Zatocil, Gerd Griepentrog. 2025. Sensorless Soft Starter Torque and Flux Control Algorithm for Induction Motors. IEEE Transactions on Industrial Electronics 72(2):1230–1237. DOI 10.1109/TIE.2024.3413840.
Bauer, Sonja (2025): Water-reuse concepts for sustainable spatial development. Technische Universität Darmstadt, Habilitation. https://tubiblio.ulb.tu-darmstadt.de/153926/
Philipp Stangl, Christoph P. Neumann. 2025. The Kosmosis Use Case of Crypto Rug Pull Prevention by an Incrementally Constructed Knowledge Graph. Datenbanksysteme für Business, Technologie und Web - Workshopband (BTW 2025). DOI 10.18420/BTW2025-131. Gesellschaft für Informatik, Bonn. PISSN: 2944-7682. pp. 277–289. Workshop Data Engineering for Data Science (DE4DS). Bamberg, Germany.
- Philipp Stangl, Christoph P. Neumann. 2025. Kosmosis: Crypto Rug Pull Detection and Prevention by Fusing On- and Off-Chain Data in a Knowledge Graph. Proc of the 16th International Conference on Cloud Computing, GRIDs, and Virtualization (Cloud Computing 2025). ISBN 978-1-68558-258-60. IARIA, Valencia, Spain.
Patrick Levi, Christoph Neumann. 2024. Goal Hijacking Using Adversarial Vocabulary for Attacking Vulnerabilities of Large Language Model Applications. International Journal on Advances in Software 17(3&4):214–225. ISSN 1942-2628. DOI 10.5281/zenodo.14680185.
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.
Stefan Wiendl, Ulf Kreuziger. 2024. Ansatz zu Diminished Reality im Anwendungsbereich von GeoARS und Implementierungsbeispiele. gis.Science, pages 119–126. Berlin, Germany. ISSN 1869-9391. DOI 10.14627/gis.Science.2024.4.3.
Selim Solmaz, Pamela Innerwinkler, Michał Wójcik, Kailin Tong, Elena Politi, George Dimitrakopoulos, Patrick Purucker, Alfred Höß, Björn Schuller, and Reiner John. 2025. Robust Robotic Search and Rescue in Harsh Environments: An Example and Open Challenges, IEEE International Symposium on Robotic and Sensors Environments (ROSE), Chemnitz, Germany, 2024, pages 1–8, DOI 10.1109/ROSE62198.2024.10591144.
Politi, E., Purucker, P., Larsen, M., Reis, R. J. D., Rajan, R. T., Penna, S. D., Boer, J.-F., Rodosthenous, P., Dimitrakopoulos, G., Varlamis, I., & Höß, A. 2024. Enabling Technologies for the Navigation and Communication of UAS Operating in the Context of BVLOS. Electronics, 13(2), 340. DOI 10.3390/electronics13020340.
P. Purucker, C. Reil, A. Höß and B. W. Schuller. 2024. Deep Neural Quality of Service Prediction for Unmanned Aircraft System Communications, International Wireless Communications and Mobile Computing (IWCMC), Ayia Napa, Cyprus, 2024, pp. 804–810, DOI 10.1109/IWCMC61514.2024.10592318.
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. ISSN 2308-4294. DOI 10.48550/arXiv.2404.02637.
Patrick Levi, Christoph P. Neumann. 2024. Goal Hijacking Using Adversarial Vocabulary for Attacking Vulnerabilities of Large Language Model Applications. International Journal on Advances in Software 17(3&4):214–225. ISSN 1942-2628. DOI 10.5281/zenodo.14680185.
Amir Pakmehr, Andreas Aßmuth, Negar Taheri, Ali Ghaffari. 2024. DDoS attack detection techniques in IoT networks: a survey. Cluster Computing. DOI 10.1007/s10586-024-04662-6.
Tobias J. Bauer, Andreas Aßmuth. 2024. Securing Confidential Data For Distributed Software Development Teams: Encrypted Container File. International Journal On Advances in Security 17(1 & 2):11–28. DOI 10.48550/arXiv.2407.09142.
Pitpimon Choorod, Tobias J. Bauer, Andreas Aßmuth. 2024. Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis. In: Cloud Computing 2024, The Fifteenth International Conference on Cloud Computing, GRIDs, and Virtualization, pages 8–12, DOI 10.48550/arXiv.2405.09412.
D. Meiller, M. Wiehl, L. Bäuml. 2024. Automated Evaluation of Games Programmed in Computer Science Assessments: The Use of CodeRunner to Validate Code Written in the Processing Language. In: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2 (ITiCSE 2024), pages 775–776, New York, NY, USA. Association for Computing Machinery. DOI 10.1145/3649405.3659516.
Bach, S., Altieri, M., Vilsmeier, L. (2024). «Mitmachen ist besser als nur Zuschauen.« Qualitative Studie an Berufsschulen zur Wahrnehmung und motivationalen Wirkung eines interaktiven Mathematik-Lernvideos. MedienPädagogik: Zeitschrift für Theorie Und Praxis Der Medienbildung 2023. (Occasional Papers).
Hommel, M. (2024). Can vocational interests be used to recruit candidates for teacher training programmes in Technical Vocational Education and Training in Germany? Education + Training. DOI 10.1108/ET-09-2023-0355.
Christian Näther, Daniel Herzinger, Stefan-Lukas Gazdag, Jan-Philipp Steghöfer, Simon Daum, Daniel Loebenberger. 2024. Migrating Software Systems Toward Post-Quantum Cryptography-A Systematic Literature Review. IEEE Access 12:132107–132126. DOI 10.1109/ACCESS.2024.3450306.
Pascal Röll, Daniel Loebenberger. 2024. Language Models for Utilizing CVEs. In: Conference on Applied Research in Engineering Sciences, pages 405–409, Nürnberg. Rediroma-Verlag. ISBN 978-3-98885-336-3.
Wenzel Hünting, Daniel Loebenberger, Sebastian von Mammen. 2024. The Creation Blockchain: Documentation and Validation of Work Processes. In: Proceedings of the 19th International Conference on the Foundations of Digital Games, New York, NY, USA. Association for Computing Machinery. ISBN 9798400709555. DOI 10.1145/3649921.3656992. FDG 2024
Christian Näther, Daniel Herzinger, Jan-Philipp Steghöfer, Stefan-Lukas Gazdag, Eduard Hirsch, Daniel Loebenberger. 2024. SoK: Towards a Common Understanding of Cryptographic Agility. https://arxiv.org/abs/2411.08781.
Wackler, P.; Bauer, S. (2024) Potentials for Optimizing Roadside Greenery to Improve the Quality of Life in Cities. Land 2024, 13, 343. DOI: 10.3390/land13030343
Karmaker, S.; Bandyopadhyay, S.; Bauer, S. (2024) Geospatial Approaches to Improve Water Availability through Demand Assessment in Agriculture Based on Treated Wastewater: A Case Study of Weinstadt, Baden-Württemberg. In: Water 2024, 16, 704. DOI: 10.3390/w16050704
Gantikow, A., Durski, S., Isking, A., Libbrecht, P., Müller, W., Ostermann, S. & Rebholz, S. (2024). KI-basierte Analyse von E-Portfolios. In Proceedings of DELFI 2024. Gesellschaft für Informatik e.V. https://dl.gi.de/items/664d6543-99e8-47a4-9cda-a57cce57be43
Gantikow, A., Isking, A., Müller, W., Libbrecht, P. & Rebholz, S. (2024). Evaluating Interactive Concept Maps Produced from E-Portfolios. In 2024 International Symposium on Multimedia (ISM) (S. 255–260). IEEE. https://doi.org/10.1109/ism63611.2024.00058
- Günthner, P.‑O. & Rebholz, S. (2024). Implementierung von Textanalyse in der E-Portfolio-Bewertung. In Proceedings of DELFI Workshops. Gesellschaft für Informatik e.V. https://dl.gi.de/items/0d633776-9f6f-4772-88c1-49bd13970c96
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.
Felix Sommerer, Heiko Zatocil. 2023. Experimental Investigation of the Optimal Efficiency of a Synchronous Reluctance Machine Drive System Including Different Modulation Techniques. In: IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, pages 1–8, DOI 10.1109/IECON51785.2023.10311848.
Tobias J. Bauer, Andreas Aßmuth. 2023. Encrypted Container File: Design and Implementation of a Hybrid-Encrypted Multi-Recipient File Structure. In: Cloud Computing 2023, The Fourteenth International Conference on Cloud Computing, GRIDs, and Virtualization, pages 1–7, DOI 10.48550/arXiv.2405.09398.
Amir Pakmehr, Andreas Aßmuth, Christoph P. Neumann, Gerald Pirkl. 2023. Security Challenges for Cloud or Fog Computing-Based AI Applications. In: Cloud Computing 2023, The Fourteenth International Conference on Cloud Computing, GRIDs, and Virtualization, Nice, France, pages 21–29, DOI 10.48550/arXiv.2310.19459.
Scharf, D., Saadani, S., Höß, A. 2023. The KI-ASIC Data Set, Journal of Sensor Networks and Data Communications, JSNDC 2023, Vol. 3, Issue 1, pages 76–80. ISSN 2994-6433, DOI 10.33140/JSNDC.03.01.02
Philipp Stangl, Christoph P. Neumann. 2023. FoodFresh: Multi-Chain Design for an Inter-Institutional Food Supply Chain Network. In: Cloud Computing 2023, The Fourteenth International Conference on Cloud Computing, GRIDs, and Virtualization, Nice, France, pages 41–46, DOI 10.48550/arXiv.2310.19461.
Melanie Steiner, Dieter Meiller. 2023. Human in Focus: Evaluation with Electro Graphic Methods and Artificial Intelligence. In: Proceedings of the International Conference on Applied Computing / WWW/Internet 2023, IADIS Press. ISBN 978-989-8704-53-5.
Melanie Steiner, Dieter Meiller. 2023. Simple Measurement of User Response. In: International Conference Interfaces and Human Computer Interaction 2023, IADIS Press. ISBN 978-989-8704-49-8.
Korntreff, S., Prediger, S., Altieri, M., & Bach, S. (2023). Verstehensorientierung und fokussierte kognitive Aktivierung in Erklärvideos–Designprinzipien und Designelemente. Digitaler Mathematikunterricht in Forschung und Praxis: Tagungsband zur Vernetzungstagung 2022 in Siegen, 103.
Tyroller, M., Walter, M. S., Riess, C., & Altieri, M. (2023). Lessons learned: Further strategies for the implementation of e-porfolios in engineering sciences. In DS 123: Proceedings of the International Conference on Engineering and Product Design Education (E&PDE 2023).
Hommel, M., Fürstenau, B. & Mulder, R. H. (2023). Reflection at work – a conceptual model and the meaning of its components in the domain of VET teachers. Frontiers in Psychology. Special Issue: Informal Learning Through Work. DOI 10.3389/fpsyg.2022.923888.
Hommel, M. (2023). Situationales Interesse von Lernenden in webbasierten komplexen Lehr-Lern-Arrangements am Beispiel einer Unternehmenssimulation. bwp@ Profil 8, Netzwerke – Strukturen von Wissen, Akteuren und Prozessen in der beruflichen Bildung. Teil 2: Design und Evaluation konstruktivistischer Lehr-Lern-Arrangement.
Stefan-Lukas Gazdag, Sophia Grundner-Culemann, Tobias Heider, Daniel Herzinger, Felix Schärtl, Joo Yeon Cho, Tobias Guggemos, Daniel Loebenberger. 2023. Quantum-resistant MACsec and IPsec for Virtual Private Networks. In: Security Standardisation Research, pages 1–21, Berlin, Heidelberg. ISSN 0302-9743 (Print) 1611-3349 (Online). ISBN 978-3-031-30730-0, https://doi.org/10.1007/978-3-031-30731-7_1. Lecture Notes in Computer Science
Mariantonia Cotronei, Caroline Moosmüller, Tomas Sauer, Nada Sissouno. 2023. Hermite multiwavelets for manifold-valued data. Advances in Computational Mathematics 49(40). DOI 10.1007/s10444-023-10042-2. Preprint: http://arxiv.org/abs/2110.10060.
Wagner, Martin; Bauer, Sonja (Hg.) (2023): Industrial and Municipal Wastewater Treatment with a Focus on Water-Reuse: MDPI. https://www.mdpi.com/journal/water/special_issues/industrial_municipal
Gantikow, A., Isking, A., Libbrecht, P., Müller, W. & Rebholz, S. (2023). On the Creation of Classifiers to Support Assessment of E-Portfolios. In 2023 IEEE International Symposium on Multimedia (ISM), Laguna Hills, CA, USA, 2023 (S. 297–302). IEEE. https://doi.org/10.1109/ism59092.2023.00057
Hess, C., Kunz, S., Steffen, A., Dodiya, J., Heinisch, C., Rebholz, S., Schlömer, I. & Vaas, S. (2023). How Does School Lesson Design Contribute to Girls' Perception of Their Future-Readiness for STEM Majors? – An Empirical Study Using Critical Incidents Technique. International Journal of Learning and Teaching, 9(4). https://doi.org/10.18178/ijlt.9.4.310-317
- Steffen, A., Dodiya, J., Heinisch, C., Hess, C., Kunz, S., Rebholz, S., Schlömer, I., Vaas, S. & Rippich, K. (2023). An Exploration of Critical Incidents Impacting Female Students’ Attitude Towards STEM Subjects. In Proceedings of the 6th International Conference on Gender Research (ICGR 2023) (S. 215–223). Academic Conferences International Limited. https://doi.org/10.34190/icgr.6.1.994
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
Hauke Nannen, Heiko Zatocil, Gerd Griepentrog. 2022. Predictive Braking Algorithm for Soft Starter Driven Induction Motors. In: 2022 24th European Conference on Power Electronics and Applications (EPE'22 ECCE Europe), pages 1–9.
Hauke Nannen, Heiko Zatocil, Gerd Griepentrog. 2022. Predictive Firing Algorithm for Soft Starter Driven Induction Motors. IEEE Transactions on Industrial Electronics 69(12):12152–12161. DOI 10.1109/TIE.2021.3135606.
Michael Gleißner, Johannes Dotzler, Juliana Hartig, Andreas Aßmuth, Clemens Bulitta, Steffen Hamm. 2022. IT Security of Cloud Services and IoT Devices in Healthcare. International Journal On Advances in Security 15(3 & 4):52–64.
Dieter Meiller. 2022. Flutter: The Future of Application Development?. In: 12th International Conference on Internet Technologies & Society 2022, pages 197–200, IADIS Press. ISBN 978-989-8704-46-7.
Stephan Pretter, Dieter Meiller. 2022. Approach to Predict Student Engagement in Video Lectures. In: 12th International Conference on Internet Technologies & Society 2022, pages 161–164, IADIS Press. ISBN 978-989-8704-46-7.
Ruben Prokscha, Mathias Schneider and Alfred Höß. 2022. Efficient Edge Deployment demonstrated on YOLOv5 and Coral Edge TPU, International Workshop on Edge Artificial Intelligence for Industrial Applications (EAI4IA), Vienna, pages 1–14, https://www.researchgate.net/publication/362253028_Efficient_Edge_Deployment_Demonstrated_on_YOLOv5_and_Coral_Edge_TPU
D. Scharf, S. Saadani, M. Schneider and A. Höß. 2022. A Semi-Automated Multi-Sensor Data Labeling Process for Deep Learning in Automotive Radar Environment. 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, Maldives, pages 1–8, DOI 10.1109/ICECCME55909.2022.9988075
Ovidiu Vermesan, Frédéric Pétrot, Marcello Coppola, Mathias Schneider, Alfred Höß. 2022. Industrial AI Technologies for Next-Generation Autonomous Operations with Sustainable Performance, Book Article in Intelligent Edge-Embedded Technologies for Digitising Industry, pages 1–71, River Publishers, Denmark
Altieri, M. (2022). Tiefes Lernen & Intelligentes Üben – ein digital gestütztes Lehr-/Lernkonzept für evidenzbasierte kompetenzorientierte Lehre in der Ingenieurmathematik. In: Cai, J., Lackner, H., Wang, Q. (Hrsg.), Jahrbuch Angewandte Hochschulbildung 2020 (S. 191–212). Wiesbaden: Springer VS. DOI 10.1007/978-3-658-36004-7_11
Knaut, J., Altieri, M., Bach, S., Strobl, I., & Dechant, K. (2022). A Theory-Based Approach of Feedback in STACK-Based Moodle Quizzes Taking into Account Self-Regulation and Different Proficiency of Learners.International Journal of Emerging Technologies in Learning (iJET), 17(23), S. 38–55. DOI 10.3991/ijet.v17i23.36425
Geiß, A.-L., Altieri, M., Hösl, R., Königsberger, A., & Stollner, C. (2022). E-Portfolios–ein Blick in die Praxis. Untersuchung zu Hürden und Chancen am Beispiel eines Bachelorseminars. Tagungsband zum 10. Tag der Lehre der FH Oberösterreich. Linz: FH Oberösterreich.
Kontreff, S., Prediger, S., Altieri, M., & Bach, S. (2022). Verstehensorientierung und fokussierte kognitive Aktivierung in Erklärvideos – Designprinzipien und Designelemente. In: Stein, M., Winter, K. (Hrsg.), Digitaler Mathematikunterricht in Forschung und Praxis. Münster: WTM-Verlag.
Riess, C., Walter, M.S.J., Tyroller, M., Gomolka, L. Augustin, J., & Altieri, M. (2022). Having a real prototype of your own product design – small effort but big eureka moment for students. In Proc.: 4th International Conference Business Meets Technology. Ansbach, 7th – 9th July 2022. DOI 10.4995/BMT2022.2022.15624
Schlicht, J., Hommel, M. & Fürstenau, B. (2022). Hochschuldidaktik – Digital gestütztes, problembasiertes forschendes Lernen von (künftigen) Lehr- und Führungskräften. Bildung und Beruf, Juli/August (5), 259–264.
Ahmed Alqattaa, Daniel Loebenberger, Lukas Moeges. 2022. Analyzing the Latency of QUIC over an IoT Gateway. In: IEEE International Conference on Omni-layer Intelligent Systems, COINS 2022, Barcelona, Spain, August 1-3, 2022, pages 1–6, IEEE. DOI 10.1109/COINS54846.2022.9854951.
Mark Iwen, Michael Perlmutter, Nada Sissouno, Aditya Viswanathan. 2022. Phase Retrieval for L²([−π, π]) via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements. Journal of Fourier Analysis and Applications 29. DOI 10.1007/s00041-022-09988-6. Preprint: http://arxiv.org/abs/2106.02517.
Ramirez Herrera, A.C.; Bauer, S.; Peña Guillen, V. (2022): Water-Sensitive Urban Plan for Lima Metropolitan Area (Peru) Based on Changes in the Urban Landscape from 1990 to 2021. Land 2022, 11, 2261. https://doi.org/10.3390/land11122261
Bauer, S. und Wagner, M. (2022): Possibilities and Challenges of Wastewater Reuse—Planning Aspects and Realized Examples. In: Water. https://doi.org/10.3390/w14101619
Raihan, A. T.; Bauer, S.; Mukhopadhaya, S. (2022): An AHP based approach to forecast groundwater level at potential recharge zones of Uckermark District, Brandenburg, Germany. Scientific Reports 12, 6365; DOI: 10.1038/s41598-022-10403-9
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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.
Hauke Nannen, Heiko Zatocil, Gerd Griepentrog. 2021. Braking Induction Motors Using Soft Starter Torque and Flux Control Algorithm. In: IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, pages 1–6, DOI 10.1109/IECON48115.2021.9589256.
Hauke Nannen, Heiko Zatocil, Gerd Griepentrog. 2021. Industrialized Flux-Oriented Start-up Algorithm for Soft Starter Driven Induction Motors. In: 2021 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe), pages 1–10, DOI 10.23919/EPE21ECCEEurope50061.2021.9570538.
Simon Liebl, Leah Lathrop, Ulrich Raithel, Andreas Aßmuth, Ian Ferguson, Matthias Söllner. 2021. Analyzing the Attack Surface and Threats of Industrial Internet of Things Devices. International Journal On Advances in Security 14(1 & 2):59–70. DOI 10.48550/arXiv.2405.16318.
Michael Gleißner, Johannes Dotzler, Juliana Hartig, Andreas Aßmuth, Clemens Bulitta, Steffen Hamm. 2021. IT Security of Cloud Services and IoT Devices in Healthcare. In: Cloud Computing 2021, The Twelfth International Conference on Cloud Computing, GRIDs, and Virtualization, pages 1–7.
Andreas Aßmuth, Robert Duncan, Simon Liebl, Matthias Söllner. 2021. A Secure and Privacy-Friendly Logging Scheme. In: Cloud Computing 2021, The Twelfth International Conference on Cloud Computing, GRIDs, and Virtualization, pages 8–12, DOI 10.48550/arXiv.2405.11341.
Nicholas Jäger, Andreas Aßmuth. 2021. An Approach for Decentralized Authentication in Networks of UAVs. In: Cloud Computing 2021, The Twelfth International Conference on Cloud Computing, GRIDs, and Virtualization, pages 13–17, DOI 10.48550/arXiv.2405.07265.
Tassilo Scharnagl, Dieter Meiller. 2021. Physically Based Materials Synthesis. In: International Conferences Computer Graphics, Visualization, Computer Vision and Image Processing 2021, pages 127–132, IADIS Press. ISBN 978-989-8704-32-0. Bach, S., & Altieri, M. (2021). Drawing Graphs of Differentiable Functions with STACK and JSXGraph using Hermite Splines. Zenodo. DOI
P. Purucker, J. Schmid, A. Höß and B. W. Schuller. 2021. System Requirements Specification for Unmanned Aerial Vehicle (UAV) to Server Communication, 2021 International Conference on Unmanned Aircraft Systems (ICUAS), Athens, Greece, pages 1499–1508, DOI 10.1109/ICUAS51884.2021.9476799.
Schneider, M., Kutila, M. & Höß, A. 2021. Applications of AI in Transportation Industry. In: Artificial Intelligence for Digitising Industry - Applications. pages 355–362. River Publishers Gistrup, Denmark. https://www.riverpublishers.com/research_details.php?book_id=967
Mathias Schneider, Mina Marmpena, Haris Zafeiris, Ruben Prokscha, Seifeddine Saadani, Nikolaos Evangeliou, George Bravos and Alfred Höß. 2021. Open Traffic Data for Mobility-as-a-Service Applications–Architecture and Challenges. In: Artificial Intelligence for Digitising Industry – Applications. pages 375–385. River Publishers Gistrup, Denmark. https://www.riverpublishers.com/research_details.php?book_id=967
Tobias Hemmert, Mandred Lochter, Daniel Loebenberger, Marian Margraf, Stephanie Reinhardt, Georg Sigl. 2021. Quantencomputerresistente Kryptografie: Aktuelle Aktivitäten und Fragestellungen. In: Deutschland. Digital. Sicher. 30 Jahre BSI, pages 367–381, SecuMedia Verlag. ISBN 978-3-922746-83-6.
Daniel Loebenberger. 2021. Langzeitsichere Kryptographie: Was Quantencomputer und andere Disruptionen für Verschlüsselung aus Sicht der Forschung bedeuten. <kes> – Die Zeitschrift für Informationssicherheit 37(1):55–58.
Daniel Herzinger, Stefan-Lukas Gazdag, Daniel Loebenberger. 2021. Real-World Quantum-Resistant IPsec. In: 2021 14th International Conference on Security of Information and Networks (SIN), pages 1–8, DOI 10.1109/SIN54109.2021.9699255.
Stefan-Lukas Gazdag, Sophia Grundner-Culemann, Tobias Guggemos, Tobias Heider, Daniel Loebenberger. 2021. A Formal Analysis of IKEv2’s Post-Quantum Extension. In: Annual Computer Security Applications Conference, pages 91–105, New York, NY, USA. Association for Computing Machinery. ISBN 978-1-4503-8579-4. DOI 10.1145/3485832.3485885. ACSAC
- Florian Boßmann, Sara Krause-Solberg, Johannes Maly, Nada Sissouno. 2021. Structural Sparsity in Multiple Measurements. IEEE Transactions on Signal Processing 70:280–291. DOI 10.1109/TSP.2021.3137599.
Dröse, J., Eisen, V., Prediger, S., Altieri, M., Schellenbach, M., & Menning, R. (2020). Textaufgaben lesen lernen - eine digital gestützte Einheit mit App. mathematik lehren, 223, 38–40.
Altieri, M., Horst, J., Kallweit, M., Landenfeld, K., & Persike, M. (2020). Multi-step procedures in STACK tasks with adaptive flow control. DOI 10.5281/zenodo.3944786
Altieri, M. (2020). Deep Learning & Smart Training - a digitally supported teaching/learning concept to support in-depth learning and competence-oriented module development. Application-Oriented Higher Education Research, 1(5), 39–48.
Ahmed Alqattaa, Daniel Loebenberger. 2020. An IoT Crypto Gateway for Ressource-Constrained IoT Devices. In: CLOUD COMPUTING2020. International Conference on Cloud Computing, GRIDs, and Virtualization, pages 50–54, IARIA Conference. ISSN 2308-4294. ISBN 978-1-61208-778-8.
Johannes vom Dorp, Joachim von zur Gathen, Daniel Loebenberger, Jan Lühr, Simon Schneider. 2020. Comparative analysis of random generators. In: Algorithmic Combinatorics – Enumerative Combinatorics, Special Functions and Computer Algebra, pages 181–196, Springer International Publishing. DOI 10.1007/978-3-030-44559-1_10.
Anton Forstner, Felix Krahmer, Oleh Melnyk, Nada Sissouno. 2020. Well conditioned ptychograpic imaging via lost subspace completion. Inverse Problems. DOI 10.1088/1361-6420/abaf3a.
Nada Sissouno, Florian Boßmann, Frank Filbir, Wolfgang zu Castell, Maik Kahnt, Christian Schroer, Mark Iwen, Rayan Saab. 2020. A direct solver for the phase retrieval problem in ptychographic imaging. Mathematics and Computers in Simulation 176:292–300. DOI 10.1016/j.matcom.2019.11.003.
Mark Iwen, Michael Perlmutter, Nada Sissouno, Aditya Viswanathan. 2020. A Provably Accurate Algorithm for Recovering Compactly Supported Smooth Functions from Spectrogram Measurements. In: Proceedings of the 28th European Signal Processing Conference (EUSIPCO 2020), https://www.eurasip.org/Proceedings/Eusipco/Eusipco2020/pdfs/0000975.pdf.
Oleh Melnyk, Anton Forstner, Felix Krahmer, Nada Sissouno. 2020. Stable ptychographic phase retrieval via lost subspace completion. In: Proceedings of the 28th European Signal Processing Conference (EUSIPCO 2020), https://www.eurasip.org/Proceedings/Eusipco/Eusipco2020/pdfs/0000970.pdf.
Bauer, S. (2020): Identification of Water-Reuse Potentials to Strengthen Rural Areas in Water-Scarce Regions—The Case Study of Wuwei. In: Land, 9 (12), 492 DOI: 10.3390/land9120492
Bauer, S.; Dell, A.; Behnisch, J., Linke, H. J.; Wagner, M. (2020): Sustainability requirements of implementing water-reuse concepts for new industrial park developments in water-stressed regions. In: Water Reuse & Desalination, DOI: 10.2166/wrd.2020.028
Bauer, S.; Linke, H. J.; Wagner, M. (2020): Optimizing water-reuse and increasing water-saving potentials by linking treated industrial and municipal wastewater for a sustainable urban development. In: Water Science and Technology, 81 (9), p. 1927–1940. DOI: 10.2166/wst.2020.257
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Roman Babl, Fabian Zeitler, André Baldermann, Alfred Höß. "AUTBUS – Implementierung einer V2X-Kommunikation für automatisiertes Fahren im ländlichen Raum". Forschungsbericht der OTH-AW 2023, S. 72-77
Katharina Lutter, Moritz Schaffenroth, Heike Lepke, Alfred Höß. "Repräsentativer Trainingsdatensatz für KI-gestützte Energieverbrauchsvorhersage für Elektrofahrzeuge". Forschungsbericht der OTH-AW 2023, S. 78-84
Scharf, D., Saadani, S., Höß, A. (2023). „The KI-ASIC Data Set, Journal of Sensor Networks and Data Communications”, JSNDC 2023, Vol. 3, Issue 1, pages 76-80, published Sept. 20, 2023. ISSN: 2994-6433, https://doi.org/10.33140/JSNDC.03.01.02
Katharina Lutter MEng, Moritz Schaffenroth, M.Sc. Heike Lepke, MEng Prof. Dr.-Ing. Alfred Höß, "Repräsentativer Trainingsdatensatz für KI-gestützte Energieverbrauchsvorhersage für Elektrofahrzeuge", Forschungsbericht der OTH-AW 2023, Seiten 78-84,2023
Patrick Purucker, Christian Reil, Alfred Höß, "DUCC - Dataset for UAS Cellular Communications", Dataset, Zenodo, 2023
Daniel Scharf, Seifeddine Saadani and Alfred Höß, "The KI-ASIC Dataset", Dataset, Zenodo, 2023
Wagner, M.; Bauer, S.; (2023): Möglichkeiten und Herausforderungen für eine Wasserwiederverwendung nach dem Prinzip „fit-for-purpose“. In: Azari, Mohammad; Fuchs, Stephan (Hg.): Moderne Ansätze in der Abwasserbehandlung - Volume II : Tagungsband der 34. Karlsruher Flockungstage 2023. Karlsruhe: Karlsruher Institut für Technologie (KIT), S. 110-140. DOI: 10.5445/IR/1000166033
- Rebholz, S., Schlömer, I., Steffen, A., Vaas, S., Hess, C., Kunz, S., Heinisch, C., Dodiya, J. & Schwerk, A. (2023). Hürden überwinden – junge Frauen für MINT begeistern. In: TELEVIZION. Internationales Zentralinstitut für das Jugend- und Bildungsfernsehen (IZI), 36/2023/1. S. 21-24.
Horst Rönnebeck, Hauke Nannen, Heiko Zatocil. 2022. Prüfstand zur flexiblen Simulation rotierender mechanischer Lasten. In: Forschungsbericht OTH Amberg-Weiden, pages 6–11,
Ovidiu Vermesan, Frédéric Pétrot, Marcello Coppola, Mathias Schneider, Alfred Höß, Industrial AI Technologies for Next-Generation Autonomous Operations with Sustainable Performance, Book Article in Intelligent Edge-Embedded Technologies for Digitising Industry, p. 1-71, River Publishers, Denmark
Ruben Prokscha, Mathias Schneider, Seifeddine Saadani, Alfred Höß. KI-basierte Optimierung von Daten-Pipelines. Forschungsbericht der OTH-AW 2022, S. 17-23
Daniel Scharf, Katharina Stein, Seifeddine Saadani, Heike Lepke, Alfred Höß. Testszenarien zur Evaluierung autonomer Fahrzeuge. Forschungsbericht der OTH-AW 2022, S. 41-46
Roman Babl, Fabian Zeitler, André Baldermann, Josef Schmid, Alfred Höß. AUTBUS – Entwicklung eines autonomen Kleinbusses für den ländlichen Raum. Forschungsbericht der OTH-AW 2022, S. 47-51
- Josef Schmid, Christian Reil, Alfred Höß. PRYSTINE – Programmierbare Systeme für Intelligenz in Automobilen. Forschungsbericht der OTH-AW 2022, S. 52-56
Mathias Schneider, Seifeddine Saadani, Ruben Prokscha, Alfred Höß. "Testumgebung für Edge Computing in Intelligenten Transportsystemen (ITS)", Forschungsbericht der OTH-AW 2021, S. 27-32
Heike Lepke, Mathias Schneider, Alfred Höß, Nicholas Jäger, Andreas Aßmuth. "Projekt AutoDrive – fail-aware, fail-safe, fail-operational". Forschungsbericht der OTH-AW 2021, S. 37-43
Fabian Zeitler, Roman Babl, Josef Schmid, Alfred Höß. "AUTBUS – Entwicklung eines autonomen Kleinbusses für den ländlichen Raum". Forschungsbericht der OTH-AW 2021, S. 45-49
Daniel Scharf, Seifeddine Saadani, Alfred Höß, Heike Lepke. "KI-Prozessorarchitekturen für Radarmodule im autonomen Fahrzeug". Forschungsbericht der OTH-AW 2021, S. 50-54
Nicholas Jäger, Patrick Purucker, Christian Reil, Alfred Höß, Andreas Aßmuth. "ADACORSA Airborne data collection on resilient system architectures". Forschungsbericht der OTH-AW 2021, S. 60-65
Stefan-Lukas Gazdag, Sophia Grundner-Culeman, Tobias Guggemos, Tobias Heider, Daniel Loebenberger. 2021. Entangled Secrets: Quantum computers and the quest for quantum-resilient encryption. Linux Magazin 247:16–19.
Tilo Fischer, Stefan-Lukas Gazdag, Daniel Loebenberger, Felix Schärtl. 2021. Mehr Flexibilität bitte! Post-Quanten-Kryptografie und Schutz vor Quantencomputerangriffen. iX: Magazin für professionelle Informationstechnik 10/2021:122–125.
Stefan-Lukas Gazdag, Sophia Grundner-Culeman, Tobias Guggemos, Tobias Heider, Daniel Loebenberger. 2021. Migration zu quantenresistenter IT. Linux Magazin 4/2021:84–88. Jointly published at the 28th DFN-Conference 2021.
Krug, A., Beißwenger, M., Harder, T., Chluba, K., Bauer S. (2021): Geoinformationsgestützte Analyse zur Bewertung der Erreichbarkeit öffentlicher Erholungs- und Grünflächen – am Beispiel der Stadt Stuttgart, Geoinformation-based analysis to assess the accessibility of public recreational and green spaces – using the example of the city of Stuttgart, In: Flächenmanagement und Bodenordnung (fub), Issue 4, p. 12-18
- Bauer, S. (2021): Geoinformationsgestützte Analyse zur Identifizierung von Wasserwieder-verwendungspotenzialen zur Stärkung ländlicher Räume. In: DVW Baden-Württemberg e. V. Gesellschaft für Geodäsie, Geoinformation-based analysis for the identification of water reuse potentials to strengthen rural areas, Geoinformation und Landmanagement, Mitteilungen und Veröffentlichungen aus den Themenbereichen Geodäsie, Geoinformation und Landmanagement, Heft 1/202, S. 28-42