| 2025 | CVPR | How Much Noise is there in Labels Generated by Humans? A Method to Validate Automatically Generated Bounding Boxes. | Mariusz Karol Nowak, Jacek Cyranka, Natalia Maslany, Aleksander Kostuch, Jakub Derbisz, Mateusz Komorkiewicz, Patryk Siwek, Mateusz Wjcik, Dariusz Marchewka, Pawel Skruch |
| 2023 | ACL | Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. | Mateusz Baran, Joanna Baran, Mateusz Wjcik, Maciej Zieba, Adam Gonczarek |
| 2023 | ACL | Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. | Mateusz Wjcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek |
| 2023 | ICCS | Similarity-Based Memory Enhanced Joint Entity and Relation Extraction. | Witold Kosciukiewicz, Mateusz Wjcik, Tomasz Kajdanowicz, Adam Gonczarek |
| 2022 | LREC | Electoral Agitation Dataset: The Use Case of the Polish Election. | Mateusz Baran, Mateusz Wjcik, Piotr Kolebski, Michal Bernaczyk, Krzysztof Rajda, Lukasz Augustyniak, Tomasz Kajdanowicz |
| 2019 | MMAR | Performance of LiDAR object detection deep learning architectures based on artificially generated point cloud data from CARLA simulator. | Daniel Dworak, Filip Ciepiela, Jakub Derbisz, Izzat Izzat, Mateusz Komorkiewicz, Mateusz Wjcik |
| 2015 | ICAISC | Cross-Entropy Clustering Approach to One-Class Classification. | Przemyslaw Spurek, Mateusz Wjcik, Jacek Tabor |
| 2014 | ICAISC | Hybrid System of ART and RBF Neural Networks for Classification of Vibration Signals and Operational States of Wind Turbines. | Andrzej Bielecki, Tomasz Barszcz, Mateusz Wjcik, Marzena Bielecka |
| 2012 | ICAISC | Fractal Modelling of Various Wind Characteristics for Application in a Cybernetic Model of a Wind Turbine. | Marzena Bielecka, Tomasz Barszcz, Andrzej Bielecki, Mateusz Wjcik |
| 2010 | ICAISC | ART-Type Artificial Neural Networks Applications for Classification of Operational States in Wind Turbines. | Tomasz Barszcz, Andrzej Bielecki, Mateusz Wjcik |