Publications

Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Vikas Rajashekar; Markus Junker; Andreas Dengel; Axel Haferkamp; Thomas Hoefner

Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

In: European Journal of Cancer (EJC), Vol. 220, No. 115367, Pages 1-8, Elsevier Ltd. 3/2025.

Vinit Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski

Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques

In: 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR). International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR-2024), May 14-15, Muscat, Oman, Pages 1-6, ISBN 979-8-3503-4863-7, IEEE, 2024.

Busra Sebin; Nazim Taskin; Nijat Mehdiyev

Exploring the Intersection of Large Language Models (LLMs) and Explainable AI (XAI): A Systematic Literature Review (Research-in-Progress)

In: Lech Janczewski; Galal H. Galal-Edeen; Barbara Krumay (Hrsg.). Proceedings of 2024 International Conference on Information Resources Management. International Conference on Information Resources Management (Conf-IRM-2024), May 26-28, Cairo, Egypt, ISBN 978-0-473-71035-4, AIS Electronic Library (AISeL), 2024.

Hans Hohenfeld; Dirk Heimann; Felix Wiebe; Frank Kirchner

Quantum Deep Reinforcement Learning for Robot Navigation Tasks

In: IEEE Access (IEEE), Vol. n.n. Pages 1-1, IEEE, 6/2024.

Yousef Koka

Learn2Clean Event Data

Mastersthesis, German University in Cairo, 8/2024.

Md Abid Hasan; Frédéric Li; Vivian Tetzlaff-Lelleck; Franziska Schmelter; Greta Marie Ahlemann; Lennart Jablonski; Xinyu Huang; Christian Sina; Marcin Grzegorzek

Deep-learning-based Detection of Food Hypersensitivity from Confocal Laser Endomicroscopy Images of the Gastro-intestinal Tract

In: Tung X. Bui (Hrsg.). 58th Hawaii International Conference on System Sciences 2025. Proceedings. Hawaii International Conference on System Sciences (HICSS-2025), January 7-10, Pages 3290-3299, ISBN 978-0-9981331-8-8, University of Hawaii Press, 2025.

Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters; Carlo D'Eramo

Eau De Q-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

In: Proceedings of the 2nd Reinforcement Learning Conference 2025. Reinforcement Learning Conference (RLC-2025), August 5-9, Edmonton, AB, Canada, Reinforcement Learning Journal (RLJ), 2025.

Snehal Walunj; Nazanin Mashhaditafreshi; Parsha Pahlevannejad; Achim Wagner; Martin Ruskowski

Human-Robot Interaction Through Egocentric Hand Gesture Recognition

In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 125-133, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

Vinit Hegiste; Tatjana Legler; Martin Ruskowski

Collaborative Learning in Shared Production Environment Using Federated Image Classification

In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 98-106, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

Christoph Peter Balada; Aida Romano-Martinez; Vincent ten Cate; Katharina Geschke; Jonas Tesarz; Paul Claßen; Alexander K Schuster; Dativa Tibyampansha; Karl-Patrik Kresoja; Philipp S Wild; others

Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage

In: Lecture Notes in Computer Science. Medical Image Understanding and Analysis (MIUA-2025), LNCS, Springer Nature, 2025.