| Facial component extraction and face recognition with support vector machines D Xi, IT Podolak, SW Lee Proceedings of Fifth IEEE International Conference on Automatic Face Gesture …, 2002 | 72 | 2002 |
| Cramer-Wold auto-encoder S Knop, P Spurek, J Tabor, I Podolak, M Mazur, S Jastrzebski The Journal of Machine Learning Research 21 (1), 6594-6621, 2020 | 49* | 2020 |
| Hierarchical classifier with overlapping class groups IT Podolak Expert Systems with Applications 34 (1), 673-682, 2008 | 46 | 2008 |
| Machine learning with known input data uncertainty measure WM Czarnecki, IT Podolak IFIP International Conference on Computer Information Systems and Industrial …, 2013 | 24 | 2013 |
| Zero time waste: Recycling predictions in early exit neural networks M Wołczyk, B Wójcik, K Bałazy, IT Podolak, J Tabor, M Śmieja, T Trzcinski Advances in Neural Information Processing Systems 34, 2516-2528, 2021 | 22 | 2021 |
| Functional graph model of a neural network IT Podolak IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 28 …, 1998 | 20 | 1998 |
| Distribution-interpolation trade off in generative models D Leśniak, I Sieradzki, I Podolak International Conference on Learning Representations, 2018 | 19 | 2018 |
| Latent translation: Crossing modalities by bridging generative models Y Tian, J Engel arXiv preprint arXiv:1902.08261, 2019 | 18 | 2019 |
| Relative molecule self-attention transformer Ł Maziarka, D Majchrowski, T Danel, P Gaiński, J Tabor, I Podolak, ... arXiv preprint arXiv:2110.05841, 2021 | 15 | 2021 |
| A machine learning approach to synchronization of automata I Podolak, A Roman, M Szykuła, B Zieliński Expert Systems with Applications 97, 357-371, 2018 | 15 | 2018 |
| Discovering structure in geographical metadata I Podolak, U Demšar Proceedings of the 12th conference in Geoinformatics, 1-7, 2004 | 13 | 2004 |
| Theoretical foundations and experimental results for a hierarchical classifier with overlapping clusters IT Podolak, A Roman Computational Intelligence 29 (2), 357-388, 2013 | 12 | 2013 |
| Hierarchical estimator S Brodowski, IT Podolak Expert Systems with Applications 38 (10), 12237-12248, 2011 | 12 | 2011 |
| Docking-based generative approaches in the search for new drug candidates T Danel, J Łęski, S Podlewska, IT Podolak Drug Discovery Today 28 (2), 103439, 2023 | 11 | 2023 |
| Machine Learning-Based Identification of Suicidal Risk in Patients With Schizophrenia Using Multi-Level Resting-State fMRI Features B Bohaterewicz, B Wójcik, A Sobczak, T Marek Frontiers in Neuroscience, 2021 | 11 | 2021 |
| CORES: fusion of supervised and unsupervised training methods for a multi-class classification problem IT Podolak, A Roman Pattern Analysis and Applications 14, 395-413, 2011 | 11 | 2011 |
| Hierarchical classifier IT Podolak, S Biel, M Bobrowski International Conference on Parallel Processing and Applied Mathematics, 591-598, 2005 | 10 | 2005 |
| Hierarchical rules for a hierarchical classifier IT Podolak Adaptive and Natural Computing Algorithms: 8th International Conference …, 2007 | 9 | 2007 |
| Application of hierarchical classifier to minimal synchronizing word problem IT Podolak, A Roman, D Jędrzejczyk International Conference on Artificial Intelligence and Soft Computing, 421-429, 2012 | 8 | 2012 |
| A hybrid neural system for phonematic transformation IT Podolak, SW Lee, A Bielecki, E Majkut Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 8 | 2000 |
Adam RomanJagiellonian UniversityZweryfikowany adres z ii.uj.edu.pl
