| Cross-entropy clustering J Tabor, P Spurek Pattern Recognition 47 (9), 3046-3059, 2014 | 56 | 2014 |
| Deep learning approach to bacterial colony classification B Zieliński, A Plichta, K Misztal, P Spurek, M Brzychczy-Włoch, ... PloS one 12 (9), e0184554, 2017 | 28 | 2017 |
| Processing of missing data by neural networks M Śmieja, Ł Struski, J Tabor, B Zieliński, P Spurek Advances in Neural Information Processing Systems, 2719-2729, 2018 | 23 | 2018 |
| Cramer-wold autoencoder S Knop, J Tabor, P Spurek, I Podolak, M Mazur, S Jastrzębski Journal of Machine Learning Research 21 (164), 1-28, 2018 | 17 | 2018 |
| ICA based on asymmetry P Spurek, J Tabor, P Rola, M Ociepka Pattern Recognition 67, 230-244, 2017 | 12 | 2017 |
| General split gaussian cross–entropy clustering P Spurek Expert Systems with Applications 68, 58-68, 2017 | 12 | 2017 |
| Active Function Cross-Entropy Clustering P Spurek, J Tabor, K Byrski Expert Systems with Applications 72, 49–66, 2017 | 9 | 2017 |
| Lossy compression approach to subspace clustering Ł Struski, J Tabor, P Spurek Information Sciences 435, 161-183, 2018 | 8 | 2018 |
| Spatial Graph Convolutional Networks T Danel, P Spurek, J Tabor, M Śmieja, Ł Struski, A Słowik, Ł Maziarka arXiv preprint arXiv:1909.05310, 2019 | 6 | 2019 |
| Cross entropy clustering approach to iris segmentation for biometrics purpose K Misztal, P Spurek, E Saeed, K Saeed, J Tabor Schedae Informaticae 24, 2015 | 6 | 2015 |
| Cross-entropy based image thresholding M Malik, P Spurek, J Tabor Schedae Informaticae 24, 2015 | 6 | 2015 |
| Detection of disk-like particles in electron microscopy images P Spurek, J Tabor, E Zając Proceedings of the 8th International Conference on Computer Recognition …, 2013 | 6 | 2013 |
| Fast Independent Component Analysis algorithm with a simple closed-form solution P Spurek, J Tabor, Ł Struski, M Śmieja Knowledge-Based Systems, 2018 | 5 | 2018 |
| R package cec P Spurek, K Kamieniecki, J Tabor, K Misztal, M Śmieja Neurocomputing 237, 410-413, 2017 | 5 | 2017 |
| Cross-Entropy Clustering approach to One-class Classification P Spurek, M Wójcik, J Tabor Lecture Notes in Computer Science 9119, 481-490, 2015 | 5 | 2015 |
| Split-and-merge tweak in cross entropy clustering K Hajto, K Kamieniecki, K Misztal, P Spurek IFIP International Conference on Computer Information Systems and Industrial …, 2017 | 4* | 2017 |
| Detection of elongated structures with hierarchical active partitions and CEC-based image representation A Tomczyk, P Spurek, M Podgórski, K Misztal, J Tabor Proceedings of the 9th international conference on computer recognition …, 2016 | 4 | 2016 |
| The memory center P Spurek, J Tabor Information Sciences 252, 132-143, 2013 | 4 | 2013 |
| SVM with a neutral class M Śmieja, J Tabor, P Spurek Pattern Analysis and Applications 22 (2), 573-582, 2019 | 3 | 2019 |
| Subspaces clustering approach to lossy image compression P Spurek, M Śmieja, K Misztal IFIP International Conference on Computer Information Systems and Industrial …, 2015 | 3 | 2015 |
Jacek TaborProfesor informatyki, Uniwersytet JagiellońskiVerified email at ii.uj.edu.pl
