Maciej Jaworski

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 28

Top Topics

Probabilistic Neural Networks

Data Stream Mining

Restricted Boltzmann Machine

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

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 (2024)
Danuta Rutkowska, Piotr Duda, Jinde Cao, Leszek Rutkowski, Aleksander Byrski, Maciej Jaworski, Dacheng Tao
convergence of stream data mining algorithms based on probabilistic neural networks. Inf. Sci. 631 (2023)
Agnieszka Niemczynowicz, Radoslaw A. Kycia, Maciej Jaworski, Artur Siemaszko, Jose M. Calabuig, Lluís Miquel Garcia-Raffi, Baruch Schneider, Diana Berseghyan, Irina Perfiljeva, Vilem Novak, Piotr Artiemjew
Selected aspects of complex, hypercomplex and fuzzy neural networks. CoRR (2023)
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) (2022)
Maciej Jaworski, Leszek Rutkowski, Pawel Staszewski, Patryk Najgebauer
Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines. ICAISC (1) (2021)
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) (2020)
Maciej Jaworski, Leszek Rutkowski, Plamen Angelov
Concept Drift Detection Using Autoencoders in Data Streams Processing. ICAISC (1) (2020)
Pawel Staszewski, Maciej Jaworski, Leszek Rutkowski, Dacheng Tao
Explainable Cluster-Based Rules Generation for Image Retrieval and Classification. ICAISC (2) (2020)
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 (2020)
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) (2020)
Maciej Jaworski, Leszek Rutkowski, Piotr Duda, Andrzej Cader
Resource-Aware Data Stream Mining Using the Restricted Boltzmann Machine. ICAISC (2) (2019)
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 (2019)
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)
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)
Piotr Duda, Maciej Jaworski, Leszek Rutkowski
Online GRNN-Based Ensembles for Regression on Evolving Data Streams. ISNN (2018)
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)
Maciej Jaworski, Piotr Duda, Leszek Rutkowski
Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine. IJCNN (2018)
Maciej Jaworski
Regression Function and Noise Variance Tracking Methods for Data Streams with Concept Drift. Int. J. Appl. Math. Comput. Sci. 28 (3) (2018)
Maciej Jaworski, Piotr Duda, Leszek Rutkowski
New Splitting Criteria for Decision Trees in Stationary Data Streams. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Piotr Duda, Maciej Jaworski, Leszek Rutkowski
Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks. Inf. Sci. (2018)
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) (2018)
Piotr Duda, Maciej Jaworski, Leszek Rutkowski
On ensemble components selection in data streams scenario with reoccurring concept-drift. SSCI (2017)
Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda
How to adjust an ensemble size in stream data mining? Inf. Sci. 381 (2017)
Maciej Jaworski, Piotr Duda, Leszek Rutkowski
On applying the Restricted Boltzmann Machine to active concept drift detection. SSCI (2017)
Maciej Jaworski, Piotr Duda, Leszek Rutkowski, Patryk Najgebauer, Miroslaw Pawlak
Heuristic Regression Function Estimation Methods for Data Streams with Concept Drift. ICAISC (2) (2017)
Maciej Jaworski, Leszek Rutkowski, Miroslaw Pawlak
Hybrid Splitting Criterion in Decision Trees for Data Stream Mining. ICAISC (2) (2016)
Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda
A method for automatic adjustment of ensemble size in stream data mining. IJCNN (2016)
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)
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) (2015)
Piotr Duda, Maciej Jaworski, Lena Pietruczuk, Leszek Rutkowski
A novel application of Hoeffding's inequality to decision trees construction for data streams. IJCNN (2014)
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) (2014)
Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda
The Parzen kernel approach to learning in non-stationary environment. IJCNN (2014)
Leszek Rutkowski, Maciej Jaworski, Lena Pietruczuk, Piotr Duda
The CART decision tree for mining data streams. Inf. Sci. 266 (2014)
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) (2013)
Leszek Rutkowski, Maciej Jaworski, Piotr Duda, Lena Pietruczuk
On a Splitting Criterion for Decision Trees in Data Streams. MLDM Posters (2013)
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)
Lena Pietruczuk, Piotr Duda, Maciej Jaworski
Adaptation of Decision Trees for Handling Concept Drift. ICAISC (1) (2013)
Maciej Jaworski, Lena Pietruczuk, Piotr Duda
On Resources Optimization in Fuzzy Clustering of Data Streams. ICAISC (2) (2012)
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)
Maciej Jaworski, Piotr Duda, Lena Pietruczuk
On Fuzzy Clustering of Data Streams with Concept Drift. ICAISC (2) (2012)
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)
Piotr Duda, Maciej Jaworski, Lena Pietruczuk
On Pre-processing Algorithms for Data Stream. ICAISC (2) (2012)
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)
Lena Pietruczuk, Piotr Duda, Maciej Jaworski
A New Fuzzy Classifier for Data Streams. ICAISC (1) (2012)
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)
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)
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)