Piotr Duda
Piotr Duda
Institute of Computational Intelligence, Czestochowa University of Technology
Verified email at iisi.pcz.pl
TitleCited byYear
The CART decision tree for mining data streams
L Rutkowski, M Jaworski, L Pietruczuk, P Duda
Information Sciences 266, 1-15, 2014
1752014
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
1662012
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
1322013
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
802014
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
452017
How to adjust an ensemble size in stream data mining?
L Pietruczuk, L Rutkowski, M Jaworski, P Duda
Information Sciences 381, 46-54, 2017
412017
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
202013
A new fuzzy classifier for data streams
L Pietruczuk, P Duda, M Jaworski
International Conference on Artificial Intelligence and Soft Computing, 318-324, 2012
202012
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
192012
On pre-processing algorithms for data stream
P Duda, M Jaworski, L Pietruczuk
International Conference on Artificial Intelligence and Soft Computing, 56-63, 2012
182012
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
162018
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
162018
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
162016
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
152012
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
152012
On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment
MJ Er, P Duda
International Conference on Parallel Processing and Applied Mathematics, 443-450, 2011
142011
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
102014
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
102014
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
92017
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
92017
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