| 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 | ICCCI | Efficient Argument Classification with Compact Language Models and ChatGPT-4 Refinements. | Marcin Pietron, Rafal Olszowski, Jakub Gomulka |
| 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 | FedCSIS | Canine age classification using Deep Learning as a step towards preventive medicine in animals. | Szymon Mazurek, Maciej Wielgosz, Jakub Caputa, Rafal Fraczek, Michal Karwatowski, Jakub Grzeszczyk, Daria Lukasik, Anna Smiech, Pawel Russek, Ernest Jamro, Agnieszka Dabrowska-Boruch, Marcin Pietron, Sebastian Koryciak, Kazimierz Wiatr |
| 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 |
| 2020 | ICCS | Retrain or Not Retrain? - Efficient Pruning Methods of Deep CNN Networks. | Marcin Pietron, Maciej Wielgosz |
| 2019 | PPAM | Improvements of Monotonicity Approach to Solve Interval Parametric Linear Systems. | Iwona Skalna, Marcin Pietron, Milan Hladk |
| 2018 | ICAART | Towards a Stable Quantized Convolutional Neural Networks: An Embedded Perspective. | Mo'taz Al-Hami, Marcin Pietron, Ral A. Casas, Samer L. Hijazi, Piyush Kaul |
| 2018 | ICAART | Improving Text Classification with Vectors of Reduced Precision. | Krzysztof Wrbel, Maciej Wielgosz, Marcin Pietron, Michal Karwatowski, Jerzy Duda, Aleksander Smywinski-Pohl |
| 2017 | ICCS | Toward hybrid platform for evolutionary computations of hard discrete problems. | Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki |
| 2016 | FedCSIS | Using Spatial Pooler of Hierarchical Temporal Memory for object classification in noisy video streams. | Maciej Wielgosz, Marcin Pietron, Kazimierz Wiatr |
| 2016 | ICAART | Study of the Parallel Techniques for Dimensionality Reduction and Its Impact on Performance of the Text Processing Algorithms. | Marcin Pietron, Maciej Wielgosz, Pawel Russek, Kazimierz Wiatr |
| 2016 | ICAART | Parallel Implementation of Spatial Pooler in Hierarchical Temporal Memory. | Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr |
| 2016 | ICAISC | Comparison of SVM and Ontology-Based Text Classification Methods. | Krzysztof Wrbel, Maciej Wielgosz, Aleksander Smywinski-Pohl, Marcin Pietron |
| 2015 | ICCS | GPGPU for Difficult Black-box Problems. | Marcin Pietron, Aleksander Byrski, Marek Kisiel-Dorohinicki |