| Multi-label contrastive learning for abstract visual reasoning M Małkiński, J Mańdziuk IEEE Transactions on Neural Networks and Learning Systems, 2022 | 30 | 2022 |
| Deep learning methods for abstract visual reasoning: A survey on raven's progressive matrices M Małkiński, J Mańdziuk arXiv preprint arXiv:2201.12382, 2022 | 28 | 2022 |
| A review of emerging research directions in Abstract Visual Reasoning M Małkiński, J Mańdziuk Information Fusion 91 (2023), 713-736, 2022 | 20 | 2022 |
| Semantic-Based System for Exercise Programming and Dietary Advice GG Mamatsashvili, K Ponichtera, M Małkiński, M Ganzha, M Paprzycki Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals …, 2019 | 3 | 2019 |
| One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems M Małkiński, J Mańdziuk Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14297 …, 2024 | | 2024 |
| Fusing individual choices into a group decision with help of software agents and semantic technologies K Ponichtera, M Małkiński, J Sawicki, M Ganzha, M Paprzycki 2018 Fourth International Conference on Advances in Computing, Communication …, 2018 | | 2018 |
| Metody kontrastowe w problemach abstrakcyjnego wnioskowania M Małkiński | | |
Jacek MańdziukFaculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, PolandVerified email at mini.pw.edu.pl
