Publications

Julie Gandrup; David Antony Selby; William Dixon

Classifying self-reported rheumatoid arthritis flares using daily patient-generated data from a smartphone app: exploratory analysis applying machine learning approaches

In: JMIR Formative Research (JMIR Form Res), Vol. 8, Page e50679, JMIR Publications, 5/2024.

Muhammad Hassan; Mohamed Nadeem; Khushboo Qayyum; Chandan Jha; Rolf Drechsler

Prompt. Verify. Repeat. LLMs in the Hardware Verification Cycle

In: 2025 IEEE International Conference on Omni-layer Intelligent Systems (COINS). IEEE International Conference on Omni-layer Intelligent Systems (IEEE COINS-2025), August 4-6, Wisconsin, USA, IEEE, 2025.

Gerrit Großmann; Larisa Ivanova; Sai Leela Poduru; Mohaddeseh Tabrizian; Islam Mesabah; David Antony Selby; Sebastian Vollmer

The Power of Stories: Narrative Priming in Multi-Agent Networked Public Goods Games

In: Proceedings of the 12th INternational Conference of Networks, Games, Control and Optimization. International Conference of Networks, Games, Control and Optimization (NETGCOOP-2025), October 8-10, Bilbao, Spain, Lecture Notes in Computer Science (LNCS), Springer, 10/2025.

Felix Divo; Eric Endress; Kevin Endler; Kristian Kersting; Devendra Singh Dhami

Forecasting Company Fundamentals

In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-26, Journal of Machine Learning Research, 2025.

Hossam Khalil; Omar Fahmi Jubran; Laís Muntini; Achim Wagner; Thomas Lachmann

Comparing AR Interaction Techniques and User Interfaces for Worker Guidance Systems for Industrial Applications

In: Proceedings of the 36th Annual Conference of the European Association of Cognitive Ergonomics. European Conference on Cognitive Ergonomics (ECCE-2025), New York, NY, USA, ECCE '25, ISBN 9798400720338, Association for Computing Machinery, 10/2025.

Florian Peter Busch; Moritz Willig; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami

Structural Causal Circuits: Probabilistic Circuits Climbing All Rungs of Pearl's Ladder of Causation

In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-32, Elsevier, 2025.

Ilira Troshani; Thiago Gouvea; Daniel Sonntag

Leveraging Weakly Supervised and Multiple Instance Learning for Multi-label Classification of Passive Acoustic Monitoring Data

In: KI 2024: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2024), 47th German Conference on AI, Würzburg, Germany, September 25–27, 2023, located at 47th German Conference on AI, September 25-27, Würzburg, Germany, LNAI, Springer, 2024.

Charlene Röhl; Aljoscha Burchardt; Sven Schmeier; Wolfgang Wahlster; Michael Schmidt; Julius Mackowiak; Moritz Wernecke; Michael ten Hompel; Patrick Bunk; Julian Volland

Evalitech: Eine neue Metrik zur Vergabe von Professuren für die Technikwissenschaften

In: Manfred Löwisch; Thomas Würtenberger; Cornelia Feldmann (Hrsg.). Ordnung der Wissenschaft (OdW), Vol. 1/2024, Pages 13-24, Ordnung der Wissenschaft, Freiburg, 2024.

Francisco Mena; Diego Arenas; Andreas Dengel

Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation

In: Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2024). ECML/PKDD Workshop on Machine Learning for Earth Observation (MACLEAN-24), located at ECML/PKDD 2024, September 13, Vilnius, Lithuania, Springer, 2024.

Vera Schmitt; Jakob Tesch; Eva Lopez; Tim Polzehl; Aljoscha Burchardt; Konstanze Neumann; Salar Mohtaj; Sebastian Möller

Implications of Regulations on Large Generative AI Models in the Super-Election Year and the Impact on Disinformation

In: Proceedings of the Workshop on Legal and Ethical Issues in Human Language Technologies @ LREC-COLING 2024. Legal and Ethical Issues in Human Language Technologies (LEGAL-2024), located at LREC-Coling 2024, May 20, Torino, Italy, Pages 28-38, ELRA and ICCL, 2024.