Maciej Jaworski

49 papers B 4C 1Journal 18Unranked 26
YearRankTypeTitle / Venue / Authors
2025 J jnl
Torque Control of a Highly-Saturated IPMSM Drive Using the Flux Linkage Control Scheme and an Augmented-State-Feedback Controller.
IEEE Trans. Ind. Electron.
Michal Gierczynski, Lukasz Niewiara, Rafal Jakubowski, Miroslaw Seredynski, Maciej Jaworski, Emil Kupiec, Lech Marian Grzesiak
2024 — conf
Complex-Valued Restricted Boltzmann Machines for Learning Image Data Distributions.
ICAISC (1)
Maciej Jaworski, Agnieszka Niemczynowicz, Radoslaw A. Kycia
2024 J jnl
Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring.
Appl. Soft Comput.
Danuta Rutkowska, Piotr Duda, Jinde Cao, Maciej Jaworski, Marek Kisiel-Dorohinicki, Dacheng Tao, Leszek Rutkowski
2023 J jnl
Selected aspects of complex, hypercomplex and fuzzy neural networks.
CoRR
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
2023 J jnl
The
Inf. Sci.
Danuta Rutkowska, Piotr Duda, Jinde Cao, Leszek Rutkowski, Aleksander Byrski, Maciej Jaworski, Dacheng Tao
2022 J jnl
A New Approach to Descriptors Generation for Image Retrieval by Analyzing Activations of Deep Neural Network Layers.
IEEE Trans. Neural Networks Learn. Syst.
Pawel Staszewski, Maciej Jaworski, Jinde Cao, Leszek Rutkowski
2021 — conf
Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines.
ICAISC (1)
Maciej Jaworski, Leszek Rutkowski, Pawel Staszewski, Patryk Najgebauer
2020 J jnl
A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers.
CoRR
Pawel Staszewski, Maciej Jaworski, Jinde Cao, Leszek Rutkowski
2020 — conf
Concept Drift Detection Using Autoencoders in Data Streams Processing.
ICAISC (1)
Maciej Jaworski, Leszek Rutkowski, Plamen Angelov
2020 — conf
Explainable Cluster-Based Rules Generation for Image Retrieval and Classification.
ICAISC (2)
Pawel Staszewski, Maciej Jaworski, Leszek Rutkowski, Dacheng Tao
2020 J jnl
On Training Deep Neural Networks Using a Streaming Approach.
J. Artif. Intell. Soft Comput. Res.
Piotr Duda, Maciej Jaworski, Andrzej Cader, Lipo Wang
2020 J jnl
On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification.
IEEE Trans. Cybern.
Piotr Duda, Leszek Rutkowski, Maciej Jaworski, Danuta Rutkowska
2019 J jnl
Corrigendum to 'How to adjust an ensemble size in stream data mining?' Information Sciences, vol. 381 (2017), pp. 46-54.
Inf. Sci.
Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda
2019 — conf
On Explainable Flexible Fuzzy Recommender and Its Performance Evaluation Using the Akaike Information Criterion.
ICONIP (4)
Tomasz Rutkowski, Krystian Lapa, Maciej Jaworski, Radoslaw Nielek, Danuta Rutkowska
2019 — conf
On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine.
ICONIP (5)
Maciej Jaworski, Piotr Duda, Danuta Rutkowska, Leszek Rutkowski
2019 — conf
Resource-Aware Data Stream Mining Using the Restricted Boltzmann Machine.
ICAISC (2)
Maciej Jaworski, Leszek Rutkowski, Piotr Duda, Andrzej Cader
2018 B conf
Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine.
IJCNN
Maciej Jaworski, Piotr Duda, Leszek Rutkowski
2018 J jnl
Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks.
Int. J. Neural Syst.
Piotr Duda, Maciej Jaworski, Leszek Rutkowski
2018 — conf
Estimation of Probability Density Function, Differential Entropy and Other Relative Quantities for Data Streams with Concept Drift.
ICAISC (2)
Maciej Jaworski, Patryk Najgebauer, Piotr Goetzen
2018 J jnl
Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks.
Inf. Sci.
Piotr Duda, Maciej Jaworski, Leszek Rutkowski
2018 J jnl
New Splitting Criteria for Decision Trees in Stationary Data Streams.
IEEE Trans. Neural Networks Learn. Syst.
Maciej Jaworski, Piotr Duda, Leszek Rutkowski
2018 C conf
Online GRNN-Based Ensembles for Regression on Evolving Data Streams.
ISNN
Piotr Duda, Maciej Jaworski, Leszek Rutkowski
2018 J jnl
Regression Function and Noise Variance Tracking Methods for Data Streams with Concept Drift.
Int. J. Appl. Math. Comput. Sci.
Maciej Jaworski
2017 — conf
Heuristic Regression Function Estimation Methods for Data Streams with Concept Drift.
ICAISC (2)
Maciej Jaworski, Piotr Duda, Leszek Rutkowski, Patryk Najgebauer, Miroslaw Pawlak
2017 J jnl
How to adjust an ensemble size in stream data mining?
Inf. Sci.
Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda
2017 — conf
On applying the Restricted Boltzmann Machine to active concept drift detection.
SSCI
Maciej Jaworski, Piotr Duda, Leszek Rutkowski
2017 — conf
On ensemble components selection in data streams scenario with reoccurring concept-drift.
SSCI
Piotr Duda, Maciej Jaworski, Leszek Rutkowski
2016 B conf
A method for automatic adjustment of ensemble size in stream data mining.
IJCNN
Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda
2016 — conf
Hybrid Splitting Criterion in Decision Trees for Data Stream Mining.
ICAISC (2)
Maciej Jaworski, Leszek Rutkowski, Miroslaw Pawlak
2016 — conf
On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions.
ICAISC (2)
Piotr Duda, Lena Pietruczuk, Maciej Jaworski, Adam Krzyzak
2015 J jnl
A New Method for Data Stream Mining Based on the Misclassification Error.
IEEE Trans. Neural Networks Learn. Syst.
Leszek Rutkowski, Maciej Jaworski, Lena Pietruczuk, Piotr Duda
2014 B conf
A novel application of Hoeffding's inequality to decision trees construction for data streams.
IJCNN
Piotr Duda, Maciej Jaworski, Lena Pietruczuk, Leszek Rutkowski
2014 J jnl
Decision Trees for Mining Data Streams Based on the Gaussian Approximation.
IEEE Trans. Knowl. Data Eng.
Leszek Rutkowski, Maciej Jaworski, Lena Pietruczuk, Piotr Duda
2014 J jnl
The CART decision tree for mining data streams.
Inf. Sci.
Leszek Rutkowski, Maciej Jaworski, Lena Pietruczuk, Piotr Duda
2014 B conf
The Parzen kernel approach to learning in non-stationary environment.
IJCNN
Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda
2013 — conf
Adaptation of Decision Trees for Handling Concept Drift.
ICAISC (1)
Lena Pietruczuk, Piotr Duda, Maciej Jaworski
2013 J jnl
Decision Trees for Mining Data Streams Based on the McDiarmid's Bound.
IEEE Trans. Knowl. Data Eng.
Leszek Rutkowski, Lena Pietruczuk, Piotr Duda, Maciej Jaworski
2013 — conf
On a Splitting Criterion for Decision Trees in Data Streams.
MLDM Posters
Leszek Rutkowski, Maciej Jaworski, Piotr Duda, Lena Pietruczuk
2013 — conf
On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description.
KICSS
Piotr Duda, Maciej Jaworski, Lena Pietruczuk, Marcin Korytkowski, Marcin Gabryel, Rafal Scherer
2012 — conf
A New Fuzzy Classifier for Data Streams.
ICAISC (1)
Lena Pietruczuk, Piotr Duda, Maciej Jaworski
2012 — conf
On Fuzzy Clustering of Data Streams with Concept Drift.
ICAISC (2)
Maciej Jaworski, Piotr Duda, Lena Pietruczuk
2012 — conf
On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive Least Squares Method.
ICAISC (1)
Maciej Jaworski, Marcin Gabryel
2012 — conf
On Pre-processing Algorithms for Data Stream.
ICAISC (2)
Piotr Duda, Maciej Jaworski, Lena Pietruczuk
2012 — conf
On Resources Optimization in Fuzzy Clustering of Data Streams.
ICAISC (2)
Maciej Jaworski, Lena Pietruczuk, Piotr Duda
2012 — conf
On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment.
ICAISC (1)
Maciej Jaworski, Meng Joo Er, Lena Pietruczuk
2012 — conf
On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment.
ICAISC (1)
Piotr Duda, Yoichi Hayashi, Maciej Jaworski
2011 — conf
Learning in a Non-stationary Environment Using the Recursive Least Squares Method and Orthogonal-Series Type Regression Neural Network.
PPAM (1)
Maciej Jaworski, Meng Joo Er
2011 — conf
Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network.
PPAM (1)
Jacek M. Zurada, Maciej Jaworski
2011 — conf
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)
Maciej Jaworski, Yoichi Hayashi
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling