Obserwuj
Maciej Jaworski
Maciej Jaworski
Cracow University of Technology, Faculty of Computer Science and Telecommunications
Zweryfikowany adres z pk.edu.pl
Tytuł
Cytowane przez
Cytowane przez
Rok
The CART decision tree for mining data streams
L Rutkowski, M Jaworski, L Pietruczuk, P Duda
Information Sciences 266, 1-15, 2014
3662014
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
2362012
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
1942013
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
1092017
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
402018
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
292020
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
262017
Adaptation of decision trees for handling concept drift
L Pietruczuk, P Duda, M Jaworski
Artificial Intelligence and Soft Computing: 12th International Conference …, 2013
232013
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
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
212020
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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