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Maciej Jaworski
Maciej Jaworski
Cracow University of Technology, Faculty of Computer Science and Telecommunications
Verified email at pk.edu.pl
Title
Cited by
Cited by
Year
The CART decision tree for mining data streams
L Rutkowski, M Jaworski, L Pietruczuk, P Duda
Information Sciences 266, 1-15, 2014
3642014
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
2352012
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
1932013
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
1262014
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
1072017
How to adjust an ensemble size in stream data mining?
L Pietruczuk, L Rutkowski, M Jaworski, P Duda
Information Sciences 381, 46-54, 2017
732017
Stream data mining: algorithms and their probabilistic properties
L Rutkowski, M Jaworski, P Duda
Springer International Publishing, 2020
442020
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
382018
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
322018
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
312018
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
282020
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
282020
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
282016
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
252017
On fuzzy clustering of data streams with concept drift
M Jaworski, P Duda, L Pietruczuk
Artificial Intelligence and Soft Computing: 11th International Conference …, 2012
232012
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
222014
Adaptation of decision trees for handling concept drift
L Pietruczuk, P Duda, M Jaworski
Artificial Intelligence and Soft Computing: 12th International Conference …, 2013
222013
Concept drift detection using autoencoders in data streams processing
M Jaworski, L Rutkowski, P Angelov
International Conference on Artificial Intelligence and Soft Computing, 124-133, 2020
202020
A new fuzzy classifier for data streams
L Pietruczuk, P Duda, M Jaworski
Artificial Intelligence and Soft Computing: 11th International Conference …, 2012
192012
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
182017
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