Piotr Duda

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 32

Top Topics

Stream Data Mining

Probabilistic Neural Networks

Top Venues

J. Artif. Intell. Soft Comput. Res.

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)
Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski
Accelerating deep neural network learning using data stream methodology. Inf. Sci. 669 (2024)
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)
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)
Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski
The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach. ICAISC (1) (2023)
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) (2023)
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) (2023)
Marcin Zalasinski, Piotr Duda, Stanislaw Lota, Krzysztof Cpalka
Dynamic Signature Verification Using Selected Regions. ICAISC (2) (2022)
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) (2022)
Piotr Duda, Leszek Rutkowski, Piotr Woldan, Patryk Najgebauer
The Streaming Approach to Training Restricted Boltzmann Machines. ICAISC (1) (2021)
Piotr Duda, Lipo Wang
On a Streaming Approach for Training Denoising Auto-encoders. ICAISC (2) (2020)
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)
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) (2020)
Mariusz Marzec, Piotr Duda, Zygmunt Wróbel
Analysis of microtomographic images in automatic defect localization and detection. Mach. Vis. Appl. 31 (5) (2020)
Piotr Woldan, Piotr Duda, Yoichi Hayashi
Visual Hybrid Recommendation Systems Based on the Content-Based Filtering. ICAISC (2) (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)
Piotr Duda, Maciej Jaworski, Leszek Rutkowski
Online GRNN-Based Ensembles for Regression on Evolving Data Streams. ISNN (2018)
Piotr Duda
On Ensemble Components Selection in Data Streams Scenario with Gradual 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, 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)
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)
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)
Piotr Duda, Maciej Jaworski, Lena Pietruczuk
On Pre-processing Algorithms for Data Stream. ICAISC (2) (2012)
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)
Lena Pietruczuk, Piotr Duda, Maciej Jaworski
A New Fuzzy Classifier for Data Streams. ICAISC (1) (2012)
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)
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)
Piotr Duda, Jacek M. Zurada
On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise. PPAM (1) (2011)