| The CART decision tree for mining data streams L Rutkowski, M Jaworski, L Pietruczuk, P Duda Information Sciences 266, 1-15, 2014 | 402 | 2014 |
| Decision trees for mining data streams based on the McDiarmid's bound L Rutkowski, L Pietruczuk, P Duda, M Jaworski IEEE Transactions on Knowledge and Data Engineering 25 (6), 1272-1279, 2012 | 241 | 2012 |
| Decision trees for mining data streams based on the gaussian approximation L Rutkowski, M Jaworski, L Pietruczuk, P Duda IEEE Transactions on Knowledge and Data Engineering 26 (1), 108-119, 2013 | 196 | 2013 |
| A new method for data stream mining based on the misclassification error L Rutkowski, M Jaworski, L Pietruczuk, P Duda IEEE transactions on neural networks and learning systems 26 (5), 1048-1059, 2014 | 130 | 2014 |
| New splitting criteria for decision trees in stationary data streams M Jaworski, P Duda, L Rutkowski IEEE transactions on neural networks and learning systems 29 (6), 2516-2529, 2017 | 120 | 2017 |
| How to adjust an ensemble size in stream data mining? L Pietruczuk, L Rutkowski, M Jaworski, P Duda Information Sciences 381, 46-54, 2017 | 74 | 2017 |
| Stream data mining: algorithms and their probabilistic properties L Rutkowski, M Jaworski, P Duda Springer International Publishing, 2020 | 53 | 2020 |
| On the Parzen kernel-based probability density function learning procedures over time-varying streaming data with applications to pattern classification P Duda, L Rutkowski, M Jaworski, D Rutkowska IEEE transactions on cybernetics 50 (4), 1683-1696, 2018 | 44 | 2018 |
| Convergent time-varying regression models for data streams: tracking concept drift by the recursive Parzen-based generalized regression neural networks P Duda, M Jaworski, L Rutkowski International journal of neural systems 28 (02), 1750048, 2018 | 33 | 2018 |
| Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks P Duda, M Jaworski, L Rutkowski Information Sciences 460, 497-518, 2018 | 32 | 2018 |
| On training deep neural networks using a streaming approach P Duda, M Jaworski, A Cader, L Wang Journal of Artificial Intelligence and Soft Computing Research 10 (1), 15-26, 2020 | 31 | 2020 |
| On applying the restricted Boltzmann machine to active concept drift detection M Jaworski, P Duda, L Rutkowski 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 27 | 2017 |
| A method for automatic adjustment of ensemble size in stream data mining L Pietruczuk, L Rutkowski, M Jaworski, P Duda 2016 International Joint Conference on Neural Networks (IJCNN), 9-15, 2016 | 27 | 2016 |
| Basic concepts of data stream mining L Rutkowski, M Jaworski, P Duda, L Rutkowski, M Jaworski, P Duda Stream data mining: algorithms and their probabilistic properties, 13-33, 2020 | 26 | 2020 |
| A novel application of hoeffding's inequality to decision trees construction for data streams P Duda, M Jaworski, L Pietruczuk, L Rutkowski 2014 International Joint Conference on Neural Networks (IJCNN), 3324-3330, 2014 | 24 | 2014 |
| Adaptation of decision trees for handling concept drift L Pietruczuk, P Duda, M Jaworski Artificial Intelligence and Soft Computing: 12th International Conference …, 2013 | 24 | 2013 |
| On fuzzy clustering of data streams with concept drift M Jaworski, P Duda, L Pietruczuk Artificial Intelligence and Soft Computing: 11th International Conference …, 2012 | 24 | 2012 |
| A new fuzzy classifier for data streams L Pietruczuk, P Duda, M Jaworski Artificial Intelligence and Soft Computing: 11th International Conference …, 2012 | 19 | 2012 |
| On ensemble components selection in data streams scenario with reoccurring concept-drift P Duda, M Jaworski, L Rutkowski 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017 | 18 | 2017 |
| On pre-processing algorithms for data stream P Duda, M Jaworski, L Pietruczuk Artificial Intelligence and Soft Computing: 11th International Conference …, 2012 | 18 | 2012 |
