| The CART decision tree for mining data streams L Rutkowski, M Jaworski, L Pietruczuk, P Duda Information Sciences 266, 1-15, 2014 | 175 | 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 | 166 | 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 | 132 | 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 | 80 | 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 | 45 | 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 | 41 | 2017 |
| Adaptation of decision trees for handling concept drift L Pietruczuk, P Duda, M Jaworski International Conference on Artificial Intelligence and Soft Computing, 459-473, 2013 | 20 | 2013 |
| A new fuzzy classifier for data streams L Pietruczuk, P Duda, M Jaworski International Conference on Artificial Intelligence and Soft Computing, 318-324, 2012 | 20 | 2012 |
| On fuzzy clustering of data streams with concept drift M Jaworski, P Duda, L Pietruczuk International Conference on Artificial Intelligence and Soft Computing, 82-91, 2012 | 19 | 2012 |
| On pre-processing algorithms for data stream P Duda, M Jaworski, L Pietruczuk International Conference on Artificial Intelligence and Soft Computing, 56-63, 2012 | 18 | 2012 |
| 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 | 16 | 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 | 16 | 2018 |
| 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 | 16 | 2016 |
| On the application of the parzen-type kernel regression neural network and order statistics for learning in a non-stationary environment M Jaworski, MJ Er, L Pietruczuk International Conference on Artificial Intelligence and Soft Computing, 90-98, 2012 | 16 | 2012 |
| On the strong convergence of the orthogonal series-type kernel regression neural networks in a non-stationary environment P Duda, Y Hayashi, M Jaworski International Conference on Artificial Intelligence and Soft Computing, 47-54, 2012 | 15 | 2012 |
| On resources optimization in fuzzy clustering of data streams M Jaworski, L Pietruczuk, P Duda International Conference on Artificial Intelligence and Soft Computing, 92-99, 2012 | 15 | 2012 |
| The Parzen kernel approach to learning in non-stationary environment L Pietruczuk, L Rutkowski, M Jaworski, P Duda 2014 International Joint Conference on Neural Networks (IJCNN), 3319-3323, 2014 | 10 | 2014 |
| 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 | 10 | 2014 |
| 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 | 9 | 2017 |
| Heuristic regression function estimation methods for data streams with concept drift M Jaworski, P Duda, L Rutkowski, P Najgebauer, M Pawlak International Conference on Artificial Intelligence and Soft Computing, 726-737, 2017 | 9 | 2017 |
Piotr DudaInstitute of Computational Intelligence, Czestochowa University of TechnologyVerified email at iisi.pcz.pl
