| Class-incremental learning: survey and performance evaluation on image classification M Masana, X Liu, B Twardowski, M Menta, AD Bagdanov, J van de Weijer IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 192 | 2022 |
| Semantic drift compensation for class-incremental learning L Yu, B Twardowski, X Liu, L Herranz, K Wang, Y Cheng, S Jui, J Weijer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 154 | 2020 |
| Modelling contextual information in session-aware recommender systems with neural networks B Twardowski Proceedings of the 10th ACM Conference on Recommender Systems, 273-276, 2016 | 113 | 2016 |
| Multi-agent architecture for real-time big data processing B Twardowski, D Ryzko 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2014 | 59 | 2014 |
| Orderless recurrent models for multi-label classification VO Yazici, A Gonzalez-Garcia, A Ramisa, B Twardowski, J Weijer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 57 | 2020 |
| Reducing label effort: Self-supervised meets active learning JZ Bengar, J van de Weijer, B Twardowski, B Raducanu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 29 | 2021 |
| Ratt: Recurrent attention to transient tasks for continual image captioning R Del Chiaro, B Twardowski, A Bagdanov, J Van De Weijer Advances in Neural Information Processing Systems 33, 16736-16748, 2020 | 20 | 2020 |
| IoT and context-aware mobile recommendations using multi-agent systems B Twardowski, D Ryzko 2015 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2015 | 19 | 2015 |
| On class orderings for incremental learning M Masana, B Twardowski, J Van de Weijer arXiv preprint arXiv:2007.02145, 2020 | 11 | 2020 |
| Semantic drift compensation for class-incremental learning. In 2020 IEEE L Yu, B Twardowski, X Liu, L Herranz, K Wang, Y Cheng, S Jui, ... CVF Conference on Computer Vision and Pattern Recognition, CVPR, 13-19, 2020 | 10 | 2020 |
| Continually learning self-supervised representations with projected functional regularization A Gomez-Villa, B Twardowski, L Yu, AD Bagdanov, J van de Weijer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 8 | 2022 |
| On the importance of cross-task features for class-incremental learning A Soutif–Cormerais, M Masana, J Van de Weijer, B Twardowski arXiv: 2106.11930, 2021 | 4 | 2021 |
| Metric learning for session-based recommendations B Twardowski, P Zawistowski, S Zaborowski Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | 3 | 2021 |
| Automatic clustering methods of offers in an e-commerce marketplace A Wroblewska, B Twardowski, P Zawistowski, D Ryżko Machine Intelligence and Big Data in Industry, 147-160, 2016 | 3 | 2016 |
| On the importance of cross-task features for class-incremental learning M Masana, J Van de Weijer, B Twardowski arXiv preprint arXiv:2106.11930, 2021 | 1 | 2021 |
| Widget detection on screenshots using computer vision and machine learning algorithms K Radzikowski, K Chęciński, M Forc, Ł Lepak, M Jabłoński, W Kuśmirek, ... Photonics Applications in Astronomy, Communications, Industry, and High …, 2019 | 1 | 2019 |
| Deep Learning Optimization Tasks and Metaheuristic Methods R Biedrzycki, P Zawistowski, B Twardowski Fundamenta Informaticae 168 (2-4), 185-218, 2019 | 1 | 2019 |
| Domain Dependent Product Feature and Opinion Extraction Based on E-Commerce Websites. B Twardowski, P Gawrysiak MISSI, 261-270, 2012 | 1 | 2012 |
| Exploiting Graph Structured Cross-Domain Representation for Multi-domain Recommendation A Ariza-Casabona, B Twardowski, TK Wijaya Advances in Information Retrieval: 45th European Conference on Information …, 2023 | | 2023 |
| ICICLE: Interpretable Class Incremental Continual Learning D Rymarczyk, J van de Weijer, B Zieliński, B Twardowski arXiv preprint arXiv:2303.07811, 2023 | | 2023 |
