| Selection of proper neural network sizes and architectures—A comparative study D Hunter, H Yu, MS Pukish III, J Kolbusz, BM Wilamowski IEEE Transactions on Industrial Informatics 8 (2), 228-240, 2012 | 494 | 2012 |
| A novel RBF training algorithm for short-term electric load forecasting and comparative studies C Cecati, J Kolbusz, P Różycki, P Siano, BM Wilamowski IEEE Transactions on industrial Electronics 62 (10), 6519-6529, 2015 | 263 | 2015 |
| Real time operation of smart grids via FCN networks and optimal power flow P Siano, C Cecati, H Yu, J Kolbusz IEEE Transactions on Industrial Informatics 8 (4), 944-952, 2012 | 256 | 2012 |
| Network traffic model for industrial environment J Kolbusz, S Paszczyski, BM Wilamowski IEEE Transactions on Industrial Informatics 2 (4), 213-220, 2006 | 44 | 2006 |
| The study of architecture MLP with linear neurons in order to eliminate the “vanishing gradient” problem J Kolbusz, P Rozycki, BM Wilamowski International conference on artificial intelligence and soft computing, 97-106, 2017 | 36 | 2017 |
| Dedicated deep neural network architectures and methods for their training P Różycki, J Kolbusz, BM Wilamowski 2015 IEEE 19th International Conference on Intelligent Engineering Systems …, 2015 | 13 | 2015 |
| Linearization of bipolar amplifiers based on neural-network training algorithm Z Su, J Kolbusz, BM Wilamowski IEEE Transactions on Industrial Electronics 63 (6), 3737-3744, 2016 | 12 | 2016 |
| Error back propagation algorithm with adaptive learning rate J Kolbusz, P Rozycki, O Lysenko, BM Wilamowski 2019 International Conference on Information and Digital Technologies (IDT …, 2019 | 8 | 2019 |
| Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures P Różycki, J Kolbusz, T Bartczak, BM Wilamowski International Conference on Artificial Intelligence and Soft Computing, 112-122, 2015 | 8 | 2015 |
| Estimation of deep neural networks capabilities using polynomial approach P Rozycki, J Kolbusz, R Korostenskyi, BM Wilamowski International Conference on Artificial Intelligence and Soft Computing, 136-147, 2016 | 6 | 2016 |
| Architecture and organization of a Platform for diagnostics, therapy and post-covid complications using AI and mobile monitoring M Hajder, P Hajder, T Gil, M Krzywda, J Kolbusz, M Liput Procedia Computer Science 192, 3711-3721, 2021 | 5 | 2021 |
| Implementation of deep neural networks for industry applications P Rozycki, J Kolbusz, G Krzos, BM Wilamowski IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018 | 5 | 2018 |
| Estimation of deep neural networks capabilities based on a trigonometric approach P Rozycki, J Kolbusz, BM Wilamowski 2016 IEEE 20th Jubilee International Conference on Intelligent Engineering …, 2016 | 5 | 2016 |
| Data security platform model in networked medical IT systems based on statistical classifiers and ANN M Hajder, J Kolbusz, P Hajder, M Nycz, M Liput Procedia Computer Science 176, 3682-3691, 2020 | 4 | 2020 |
| Spectral image recognition using artificial dynamic neural network in information resonance mode I Peleshchak, R Peleshchak, V Lytvyn, J Kopka, M Wrzesien, J Korniak, ... Artificial Intelligence and Industrial Applications: Smart Operation …, 2021 | 3 | 2021 |
| The impact of architecture on the deep neural networks training P Rozycki, J Kolbusz, A Malinowski, B Wilamowski 2019 12th International Conference on Human System Interaction (HSI), 41-46, 2019 | 3 | 2019 |
| Undirected graph algebra application for formalization description of information flows M Hajder, J Kolbusz, T Bartczak 2013 6th International Conference on Human System Interactions (HSI), 235-240, 2013 | 3 | 2013 |
| Approximation-based estimation of learning rate for error back propagation algorithm P Rozycki, J Kolbusz, G Krzos, BM Wilamowski 2019 IEEE 23rd International Conference on Intelligent Engineering Systems …, 2019 | 2 | 2019 |
| Constructive cascade learning algorithm for fully connected networks X Wu, P Rozycki, J Kolbusz, BM Wilamowski Artificial Intelligence and Soft Computing: 18th International Conference …, 2019 | 2 | 2019 |
| Neural networks saturation reduction J Kolbusz, P Rozycki, O Lysenko, BM Wilamowski Artificial Intelligence and Soft Computing: 17th International Conference …, 2018 | 2 | 2018 |
