| 2026 | ICCS | Goal-Conditioned Decision Transformer for Multi-goal Offline Reinforcement Learning. | Pawel Gajewski, Dominik Zurek, Marcin Pietron, Kamil Faber |
| 2025 | AAAI | TinySubNets: An Efficient and Low Capacity Continual Learning Strategy. | Marcin Pietron, Kamil Faber, Dominik Zurek, Roberto Corizzo |
| 2025 | ICDM | xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection. | Kamil Faber, Marcin Pietron, Dominik Zurek, Roberto Corizzo |
| 2024 | ESANN | A Deep Double Q-Learning as a SDLS support in solving LABS problem. | Dominik Zurek, Marcin Pietron, Kamil Pietak, Kamil Faber |
| 2024 | GECCO | AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework. | Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo, Anna Wjcik |
| 2024 | ICCS | Towards Efficient Deep Autoencoders for Multivariate Time Series Anomaly Detection. | Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo |
| 2023 | ECAI | Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning. | Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo |
| 2023 | IJCNN | Transformed-*: A domain-incremental lifelong learning scenario generation framework. | Dominik Zurek, Roberto Corizzo, Michal Karwatowski, Marcin Pietron, Kamil Faber |
| 2022 | ICCS | A Deep Neural Network as a TABU Support in Solving LABS Problem. | Dominik Zurek, Marcin Pietron, Kamil Pietak, Marek Kisiel-Dorohinicki |
| 2021 | ICCS | New Variants of SDLS Algorithm for LABS Problem Dedicated to GPGPU Architectures. | Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki |
| 2017 | ICCS | Toward hybrid platform for evolutionary computations of hard discrete problems. | Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki |
| 2015 | FedCSIS | Liveness detection in remote biometrics based on gaze direction estimation. | Krzysztof Adamiak, Dominik Zurek, Krzysztof Slot |