Deep Reinforcement Learning in Serious Games: Analysis and Design of Deep Neural Network Architectures. - Aline Dobrovsky; Cezary W. Wilczak; Paul Hahn; Marko Hofmann; Uwe M. Borghoff (EUROCAST (2), 2017)

Role of Hyperparameters in Deep Active Learning. - Denis Huseljic; Marek Herde; Paul Hahn; Bernhard Sick (IAL@PKDD/ECML, 2023)

General Reusability: Ensuring Long-Term Benefits of Deep Active Learning. - Paul Hahn; Denis Huseljic; Marek Herde; Bernhard Sick (IAL@PKDD/ECML, 2024)

Fast Fishing: Approximating Bait for Efficient and Scalable Deep Active Image Classification. - Denis Huseljic; Paul Hahn; Marek Herde; Lukas Rauch; Bernhard Sick (ECML/PKDD (7), 2024)

Systematic Evaluation of Uncertainty Calibration in Pretrained Object Detectors. - Denis Huseljic; Marek Herde; Paul Hahn; Mehmet Muejde; Bernhard Sick (Int. J. Comput. Vis., 2025)