| Trimmed categorical cross‐entropy for deep learning with label noise A Rusiecki Electronics Letters 55 (6), 319-320, 2019 | 90 | 2019 |
| Robust learning algorithm based on iterative least median of squares A Rusiecki Neural processing letters 36, 145-160, 2012 | 39 | 2012 |
| Robust LTS backpropagation learning algorithm A Rusiecki Computational and Ambient Intelligence: 9th International Work-Conference on …, 2007 | 38 | 2007 |
| Training neural networks on noisy data A Rusiecki, M Kordos, T Kamiński, K Greń Artificial Intelligence and Soft Computing: 13th International Conference …, 2014 | 32 | 2014 |
| Reducing noise impact on MLP training: Techniques and algorithms to provide noise-robustness in MLP network training M Kordos, A Rusiecki Soft Computing 20, 49-65, 2016 | 30 | 2016 |
| Robust learning algorithm based on LTA estimator A Rusiecki Neurocomputing 120, 624-632, 2013 | 30 | 2013 |
| Robust MCD-based backpropagation learning algorithm A Rusiecki International Conference on Artificial Intelligence and Soft Computing, 154-163, 2008 | 24 | 2008 |
| End-to-end automatic morphological classification of intracranial pressure pulse waveforms using deep learning C Mataczyński, A Kazimierska, A Uryga, M Burzyńska, A Rusiecki, ... IEEE Journal of Biomedical and Health Informatics 26 (2), 494-504, 2021 | 21 | 2021 |
| Trimmed robust loss function for training deep neural networks with label noise A Rusiecki Artificial Intelligence and Soft Computing: 18th International Conference …, 2019 | 18 | 2019 |
| Swapping face images with generative neural networks for deepfake technology–experimental study M Zendran, A Rusiecki Procedia computer science 192, 834-843, 2021 | 16 | 2021 |
| Road traffic predictions across major city intersections using multilayer perceptrons and data from multiple intersections located in various places K Halawa, M Bazan, P Ciskowski, T Janiczek, P Kozaczewski, A Rusiecki IET Intelligent Transport Systems 10 (7), 469-475, 2016 | 15 | 2016 |
| Robust neural network for novelty detection on data streams A Rusiecki International conference on artificial intelligence and soft computing, 178-186, 2012 | 14 | 2012 |
| Improving MLP neural network performance by noise reduction M Kordos, A Rusiecki International Conference on Theory and Practice of Natural Computing, 133-144, 2013 | 12 | 2013 |
| Standard dropout as remedy for training deep neural networks with label noise A Rusiecki Theory and Applications of Dependable Computer Systems: Proceedings of the …, 2020 | 11 | 2020 |
| Fault tolerant feedforward neural network with median neuron input function AL Rusiecki Electronics Letters 41 (10), 1, 2005 | 11 | 2005 |
| Algorytmy przetwarzania obrazów i wstęp do pracy z biblioteką OpenCV E Rafajłowicz, W Rafajłowicz, A Rusiecki Oficyna Wydawnicza Politechniki Wrocławskiej, 2009 | 9 | 2009 |
| Robust learning algorithm with the variable learning rate AL Rusiecki ICAISC 2006, Artificial Intelligence and Soft Computing, 83-90, 2006 | 9 | 2006 |
| Effectiveness of unsupervised training in deep learning neural networks A Rusiecki, M Kordos Schedae Informaticae 24, 41-51, 2015 | 8 | 2015 |
| Fast robust learning algorithm dedicated to LMLS criterion A Rusiecki Artifical Intelligence and Soft Computing: 10th International Conference …, 2010 | 8 | 2010 |
| Some aspects of Intelligent Transport System auditing A Bazan, M. Bożek, M. Ciskowski, P. Halawa, K. Janiczek, T. Kozaczewski, P ... Archives of Transport System Telematics 8 (3), 3-8, 2015 | 7* | 2015 |
Miroslaw KordosUniversity of Bielsko-Biala在 ath.bielsko.pl 的电子邮件经过验证
