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Lena Pietruczuk
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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
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
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
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
A new fuzzy classifier for data streams
L Pietruczuk, P Duda, M Jaworski
Artificial Intelligence and Soft Computing: 11th International Conference …, 2012
192012
On pre-processing algorithms for data stream
P Duda, M Jaworski, L Pietruczuk
Artificial Intelligence and Soft Computing: 11th International Conference …, 2012
182012
On resources optimization in fuzzy clustering of data streams
M Jaworski, L Pietruczuk, P Duda
Artificial Intelligence and Soft Computing: 11th International Conference …, 2012
162012
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
Artificial Intelligence and Soft Computing: 11th International Conference …, 2012
162012
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
132014
On the application of fourier series density estimation for image classification based on feature description
P Duda, M Jaworski, L Pietruczuk, R l Scherer, M Korytkowski, M Gabryel
Looking into the Future of Creativity and Decision Support Systems …, 2015
72015
Weak convergence of the recursive parzen-type probabilistic neural network in a non-stationary environment
L Pietruczuk, JM Zurada
Parallel Processing and Applied Mathematics: 9th International Conference …, 2012
62012
On the Cesaro-means-based orthogonal series approach to learning time-varying regression functions
P Duda, L Pietruczuk, M Jaworski, A Krzyzak
Artificial Intelligence and Soft Computing: 15th International Conference …, 2016
22016
On the application of orthogonal series density estimation for image classification based on feature description
P Duda, M Jaworski, L Pietruczuk, M Korytkowski, M Gabryel, R Scherer
Knowledge, Information and Creativity Support Systems: Recent Trends …, 2016
12016
On general regression neural network in a nonstationary environment
Y Hayashi, L Pietruczuk
Parallel Processing and Applied Mathematics: 9th International Conference …, 2012
12012
Corrigendum to ‘How to adjust an ensemble size in stream data mining?’Information Sciences, vol. 381 (2017), pp. 46-54
L Pietruczuk, L Rutkowski, M Jaworski, P Duda
Information Sciences 477, 545, 2019
2019
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