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2020 – today
- 2024
[j19]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)- [j18]Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski:
Accelerating deep neural network learning using data stream methodology. Inf. Sci. 669: 120575 (2024) - 2023
- [j17]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) - [j16]Piotr Woldan, Piotr Duda, Andrzej Cader, Ivan Laktionov:
A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps. J. Artif. Intell. Soft Comput. Res. 13(2): 63-72 (2023) - [j15]Magdalena Palacz, Boleslaw Bak, Lukasz Felkowski, Piotr Duda, Iliya Iliev:
The Proper Use of Fibre-Optic Sensors to Monitor the Condition of the Steam Boiler Hanger Rods. Sensors 23(17): 7522 (2023) - [c31]Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski:
The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach. ICAISC (1) 2023: 46-55 - [c30]Michal Meisner, Piotr Duda, Beata Szulc-Musiol, Beata Sarecka-Hujar:
Evaluation of Homogeneity of Effervescent Tablets Containing Quercetin and Calcium Using X-ray Microtomography and Hyperspectral Analysis. IWBBIO (1) 2023: 272-282 - 2022
- [j14]Guang Yi Chen, Adam Krzyzak, Piotr Duda, Andrzej Cader:
Noise Robust Illumination Invariant Face Recognition Via Bivariate Wavelet Shrinkage in Logarithm Domain. J. Artif. Intell. Soft Comput. Res. 12(3): 169-180 (2022) - [c29]Marcin Zalasinski, Piotr Duda, Stanislaw Lota, Krzysztof Cpalka:
Dynamic Signature Verification Using Selected Regions. ICAISC (2) 2022: 388-397 - 2021
- [c28]Piotr Duda, Leszek Rutkowski, Piotr Woldan, Patryk Najgebauer:
The Streaming Approach to Training Restricted Boltzmann Machines. ICAISC (1) 2021: 308-317 - 2020
- [j13]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) - [j12]Piotr Duda, Krzysztof Przybyszewski, Lipo Wang:
A Novel Drift Detection Algorithm Based on Features' Importance Analysis in a Data Streams Environment. J. Artif. Intell. Soft Comput. Res. 10(4): 287-298 (2020) - [j11]Mariusz Marzec, Piotr Duda, Zygmunt Wróbel:
Analysis of microtomographic images in automatic defect localization and detection. Mach. Vis. Appl. 31(5): 35 (2020) - [j10]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) - [c27]Piotr Duda, Lipo Wang:
On a Streaming Approach for Training Denoising Auto-encoders. ICAISC (2) 2020: 315-324 - [c26]Piotr Woldan, Piotr Duda, Yoichi Hayashi:
Visual Hybrid Recommendation Systems Based on the Content-Based Filtering. ICAISC (2) 2020: 455-465
2010 – 2019
- 2019
- [j9]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) - [c25]Maciej Jaworski, Leszek Rutkowski, Piotr Duda, Andrzej Cader:
Resource-Aware Data Stream Mining Using the Restricted Boltzmann Machine. ICAISC (2) 2019: 384-396 - [c24]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 - 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) - [c23]Piotr Duda:
On Ensemble Components Selection in Data Streams Scenario with Gradual Concept-Drift. ICAISC (2) 2018: 311-320 - [c22]Maciej Jaworski, Piotr Duda, Leszek Rutkowski:
Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine. IJCNN 2018: 1-7 - [c21]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) - [c20]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 - [c19]Piotr Duda, Maciej Jaworski, Leszek Rutkowski:
On ensemble components selection in data streams scenario with reoccurring concept-drift. SSCI 2017: 1-7 - [c18]Maciej Jaworski, Piotr Duda, Leszek Rutkowski:
On applying the Restricted Boltzmann Machine to active concept drift detection. SSCI 2017: 1-8 - 2016
- [c17]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 - [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]Meng Joo Er, Piotr Duda:
On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment. ICAISC (1) 2012: 39-46 - [c9]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 - [c8]Piotr Duda, Marcin Korytkowski:
On the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise. ICAISC (1) 2012: 55-62 - [c7]Piotr Duda, Maciej Jaworski, Lena Pietruczuk:
On Pre-processing Algorithms for Data Stream. ICAISC (2) 2012: 56-63 - [c6]Maciej Jaworski, Piotr Duda, Lena Pietruczuk:
On Fuzzy Clustering of Data Streams with Concept Drift. ICAISC (2) 2012: 82-91 - [c5]Maciej Jaworski, Lena Pietruczuk, Piotr Duda:
On Resources Optimization in Fuzzy Clustering of Data Streams. ICAISC (2) 2012: 92-99 - [c4]Lena Pietruczuk, Piotr Duda, Maciej Jaworski:
A New Fuzzy Classifier for Data Streams. ICAISC (1) 2012: 318-324 - 2011
- [c3]Piotr Duda, Yoichi Hayashi:
On the Weak Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks in a Time-Varying Environment. PPAM (1) 2011: 427-434 - [c2]Piotr Duda, Jacek M. Zurada:
On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise. PPAM (1) 2011: 435-442 - [c1]Meng Joo Er, Piotr Duda:
On the Weak Convergence of the Orthogonal Series-Type Kernel Regresion Neural Networks in a Non-stationary Environment. PPAM (1) 2011: 443-450
Coauthor Index
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