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2020 – today
- 2024
[j15]Danuta Rutkowska, Piotr Duda, Jinde Cao, Maciej Jaworski
, Marek Kisiel-Dorohinicki, Dacheng Tao, Leszek Rutkowski:
Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring. Appl. Soft Comput. 161: 111702 (2024)- 2023
- [j14]Danuta Rutkowska, Piotr Duda, Jinde Cao, Leszek Rutkowski, Aleksander Byrski, Maciej Jaworski, Dacheng Tao:
The L2 convergence of stream data mining algorithms based on probabilistic neural networks. Inf. Sci. 631: 346-368 (2023) - [i2]Agnieszka Niemczynowicz, Radoslaw A. Kycia, Maciej Jaworski, Artur Siemaszko, Jose M. Calabuig, Lluís Miquel Garcia-Raffi, Baruch Schneider, Diana Berseghyan, Irina Perfiljeva, Vilém Novák, Piotr Artiemjew:
Selected aspects of complex, hypercomplex and fuzzy neural networks. CoRR abs/2301.00007 (2023) - 2022
- [j13]Pawel Staszewski, Maciej Jaworski, Jinde Cao, Leszek Rutkowski:
A New Approach to Descriptors Generation for Image Retrieval by Analyzing Activations of Deep Neural Network Layers. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7913-7920 (2022) - 2021
- [c30]Maciej Jaworski, Leszek Rutkowski, Pawel Staszewski, Patryk Najgebauer:
Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines. ICAISC (1) 2021: 338-346 - 2020
- [j12]Piotr Duda, Maciej Jaworski, Andrzej Cader, Lipo Wang:
On Training Deep Neural Networks Using a Streaming Approach. J. Artif. Intell. Soft Comput. Res. 10(1): 15-26 (2020) - [j11]Piotr Duda, Leszek Rutkowski, Maciej Jaworski, Danuta Rutkowska:
On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification. IEEE Trans. Cybern. 50(4): 1683-1696 (2020) - [c29]Pawel Staszewski, Maciej Jaworski, Leszek Rutkowski, Dacheng Tao:
Explainable Cluster-Based Rules Generation for Image Retrieval and Classification. ICAISC (2) 2020: 85-94 - [c28]Maciej Jaworski, Leszek Rutkowski, Plamen Angelov:
Concept Drift Detection Using Autoencoders in Data Streams Processing. ICAISC (1) 2020: 124-133 - [i1]Pawel Staszewski, Maciej Jaworski, Jinde Cao, Leszek Rutkowski:
A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers. CoRR abs/2007.06624 (2020)
2010 – 2019
- 2019
- [j10]Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda:
Corrigendum to 'How to adjust an ensemble size in stream data mining?' Information Sciences, vol. 381 (2017), pp. 46-54. Inf. Sci. 477: 545 (2019) - [c27]Maciej Jaworski, Leszek Rutkowski, Piotr Duda, Andrzej Cader:
Resource-Aware Data Stream Mining Using the Restricted Boltzmann Machine. ICAISC (2) 2019: 384-396 - [c26]Maciej Jaworski, Piotr Duda, Danuta Rutkowska, Leszek Rutkowski:
On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine. ICONIP (5) 2019: 347-354 - [c25]Tomasz Rutkowski, Krystian Lapa, Maciej Jaworski, Radoslaw Nielek, Danuta Rutkowska:
On Explainable Flexible Fuzzy Recommender and Its Performance Evaluation Using the Akaike Information Criterion. ICONIP (4) 2019: 717-724 - 2018
- [j9]Maciej Jaworski:
Regression Function and Noise Variance Tracking Methods for Data Streams with Concept Drift. Int. J. Appl. Math. Comput. Sci. 28(3): 559-567 (2018) - [j8]Piotr Duda, Maciej Jaworski, Leszek Rutkowski:
Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks. Int. J. Neural Syst. 28(2): 1750048:1-1750048:23 (2018) - [j7]Piotr Duda, Maciej Jaworski, Leszek Rutkowski:
Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks. Inf. Sci. 460-461: 497-518 (2018) - [j6]Maciej Jaworski, Piotr Duda, Leszek Rutkowski:
New Splitting Criteria for Decision Trees in Stationary Data Streams. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2516-2529 (2018) - [c24]Maciej Jaworski, Patryk Najgebauer, Piotr Goetzen:
Estimation of Probability Density Function, Differential Entropy and Other Relative Quantities for Data Streams with Concept Drift. ICAISC (2) 2018: 376-386 - [c23]Maciej Jaworski, Piotr Duda, Leszek Rutkowski:
Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine. IJCNN 2018: 1-7 - [c22]Piotr Duda, Maciej Jaworski, Leszek Rutkowski:
Online GRNN-Based Ensembles for Regression on Evolving Data Streams. ISNN 2018: 221-228 - 2017
- [j5]Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda:
How to adjust an ensemble size in stream data mining? Inf. Sci. 381: 46-54 (2017) - [c21]Maciej Jaworski, Piotr Duda, Leszek Rutkowski, Patryk Najgebauer, Miroslaw Pawlak:
Heuristic Regression Function Estimation Methods for Data Streams with Concept Drift. ICAISC (2) 2017: 726-737 - [c20]Piotr Duda, Maciej Jaworski, Leszek Rutkowski:
On ensemble components selection in data streams scenario with reoccurring concept-drift. SSCI 2017: 1-7 - [c19]Maciej Jaworski, Piotr Duda, Leszek Rutkowski:
On applying the Restricted Boltzmann Machine to active concept drift detection. SSCI 2017: 1-8 - 2016
- [c18]Piotr Duda, Lena Pietruczuk, Maciej Jaworski, Adam Krzyzak:
On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions. ICAISC (2) 2016: 37-48 - [c17]Maciej Jaworski, Leszek Rutkowski, Miroslaw Pawlak:
Hybrid Splitting Criterion in Decision Trees for Data Stream Mining. ICAISC (2) 2016: 60-72 - [c16]Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda:
A method for automatic adjustment of ensemble size in stream data mining. IJCNN 2016: 9-15 - 2015
- [j4]Leszek Rutkowski, Maciej Jaworski, Lena Pietruczuk, Piotr Duda:
A New Method for Data Stream Mining Based on the Misclassification Error. IEEE Trans. Neural Networks Learn. Syst. 26(5): 1048-1059 (2015) - 2014
- [j3]Leszek Rutkowski, Maciej Jaworski, Lena Pietruczuk, Piotr Duda:
The CART decision tree for mining data streams. Inf. Sci. 266: 1-15 (2014) - [j2]Leszek Rutkowski, Maciej Jaworski, Lena Pietruczuk, Piotr Duda:
Decision Trees for Mining Data Streams Based on the Gaussian Approximation. IEEE Trans. Knowl. Data Eng. 26(1): 108-119 (2014) - [c15]Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda:
The Parzen kernel approach to learning in non-stationary environment. IJCNN 2014: 3319-3323 - [c14]Piotr Duda, Maciej Jaworski, Lena Pietruczuk, Leszek Rutkowski:
A novel application of Hoeffding's inequality to decision trees construction for data streams. IJCNN 2014: 3324-3330 - 2013
- [j1]Leszek Rutkowski, Lena Pietruczuk, Piotr Duda, Maciej Jaworski:
Decision Trees for Mining Data Streams Based on the McDiarmid's Bound. IEEE Trans. Knowl. Data Eng. 25(6): 1272-1279 (2013) - [c13]Lena Pietruczuk, Piotr Duda, Maciej Jaworski:
Adaptation of Decision Trees for Handling Concept Drift. ICAISC (1) 2013: 459-473 - [c12]Piotr Duda, Maciej Jaworski, Lena Pietruczuk, Marcin Korytkowski, Marcin Gabryel, Rafal Scherer:
On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description. KICSS 2013: 529-540 - [c11]Leszek Rutkowski, Maciej Jaworski, Piotr Duda, Lena Pietruczuk:
On a Splitting Criterion for Decision Trees in Data Streams. MLDM Posters 2013: 7-11 - 2012
- [c10]Piotr Duda, Yoichi Hayashi, Maciej Jaworski:
On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment. ICAISC (1) 2012: 47-54 - [c9]Piotr Duda, Maciej Jaworski, Lena Pietruczuk:
On Pre-processing Algorithms for Data Stream. ICAISC (2) 2012: 56-63 - [c8]Maciej Jaworski, Piotr Duda, Lena Pietruczuk:
On Fuzzy Clustering of Data Streams with Concept Drift. ICAISC (2) 2012: 82-91 - [c7]Maciej Jaworski, Meng Joo Er, Lena Pietruczuk:
On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment. ICAISC (1) 2012: 90-98 - [c6]Maciej Jaworski, Lena Pietruczuk, Piotr Duda:
On Resources Optimization in Fuzzy Clustering of Data Streams. ICAISC (2) 2012: 92-99 - [c5]Maciej Jaworski, Marcin Gabryel:
On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive Least Squares Method. ICAISC (1) 2012: 99-110 - [c4]Lena Pietruczuk, Piotr Duda, Maciej Jaworski:
A New Fuzzy Classifier for Data Streams. ICAISC (1) 2012: 318-324 - 2011
- [c3]Maciej Jaworski, Meng Joo Er:
Learning in a Non-stationary Environment Using the Recursive Least Squares Method and Orthogonal-Series Type Regression Neural Network. PPAM (1) 2011: 480-489 - [c2]Maciej Jaworski, Yoichi Hayashi:
On the Application of the Parzen-Type Kernel Probabilistic Neural Network and Recursive Least Squares Method for Learning in a Time-Varying Environment. PPAM (1) 2011: 490-500 - [c1]Jacek M. Zurada, Maciej Jaworski:
Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network. PPAM (1) 2011: 539-548
Coauthor Index
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last updated on 2024-08-03 20:17 CEST by the dblp team
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