| 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 | 91 | 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 | 52 | 2014 |
| 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 | 28 | 2020 |
| Class-incremental learning: survey and performance evaluation M Masana, X Liu, B Twardowski, M Menta, AD Bagdanov, J van de Weijer arXiv preprint arXiv:2010.15277, 2020 | 15 | 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 | 13 | 2015 |
| 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 | 8 | 2020 |
| Ratt: Recurrent attention to transient tasks for continual image captioning R Del Chiaro, B Twardowski, AD Bagdanov, J van de Weijer arXiv preprint arXiv:2007.06271, 2020 | 4 | 2020 |
| On class orderings for incremental learning M Masana, B Twardowski, J van de Weijer arXiv preprint arXiv:2007.02145, 2020 | 2 | 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 | 2 | 2016 |
| 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 |
| Metric Learning for Session-based Recommendations B Twardowski, P Zawistowski, S Zaborowski arXiv preprint arXiv:2101.02655, 2021 | | 2021 |
| 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 | | 2020 |
| 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 |
| 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 | | 2019 |
| Exploiting random perturbations to defend against adversarial attacks P Zawistowski, B Twardowski Photonics Applications in Astronomy, Communications, Industry, and High …, 2018 | | 2018 |
| Algorithms for Ranking of Top-N Recommendations from Implicit User Feedback and Ephemeral Items B Twardowski The Institute of Computer Science, 2018 | | 2018 |
| Wykorzystanie algorytmów sztucznej inteligencji do mobilnych aplikacji wspierających aktywność sportową. Raport techniczny RM Nowak, T Trzciński, B Twardowski, P Wawrzyński, P Zawistowski The Institute of Computer Science, 2018 | | 2018 |
| This Thesis Introduces Analysis and Description of Work Accomplished Under Enhancement in B Twardowski Instytut Informatyki, 2010 | | 2010 |
| Application Integration with Integration Service Bus B Twardowski Instytut Informatyki, 2008 | | 2008 |
