| 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 | 108 | 2016 |
| Class-incremental learning: survey and performance evaluation on image classification M Masana, X Liu, B Twardowski, M Menta, AD Bagdanov, J van de Weijer arXiv preprint arXiv:2010.15277, 2020 | 107 | 2020 |
| 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 | 98 | 2020 |
| 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 | 57 | 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 | 40 | 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 | 17 | 2015 |
| 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 | 14 | 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 | 10 | 2021 |
| On class orderings for incremental learning M Masana, B Twardowski, J Van de Weijer arXiv preprint arXiv:2007.02145, 2020 | 6 | 2020 |
| 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 |
| Metric Learning for Session-Based Recommendations B Twardowski, P Zawistowski, S Zaborowski European Conference on Information Retrieval, 650-665, 2021 | 2 | 2021 |
| On the importance of cross-task features for class-incremental learning A Soutif-Cormerais, M Masana, J Van de Weijer, B Twardowski CoRR, 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 Multimedia and Internet Systems: Theory and Practice, 261-270, 2013 | 1 | 2013 |
| Planckian jitter: enhancing the color quality of self-supervised visual representations S Zini, M Buzzelli, B Twardowski, J van de Weijer arXiv preprint arXiv:2202.07993, 2022 | | 2022 |
| 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 | | 2022 |
| Reducing Label Effort: Self-Supervised meets Active Learning J Zolfaghari Bengar, J van de Weijer, B Twardowski, B Raducanu arXiv e-prints, arXiv: 2108.11458, 2021 | | 2021 |
| 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 | | 2021 |
| Paraphrase generation and evaluation: a view from the trenches W Franus, B Twardowski, P Zawistowski, RM Nowak Photonics Applications in Astronomy, Communications, Industry, and High …, 2019 | | 2019 |
