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Piotr Duda

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

28

Venues

5

Active years

2011–2025

Best venue rank

National

Where they publish

Papers

28 indexed papers, newest first.

YearVenueTitleAuthors
2025ICAISCApproximate Importance-Based Sampling for Neural Network Training.Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski
2024ICAISCSpeedup of Training Deep Neural Networks in the Streaming Approach Using Genetic Algorithms with an Application of Drift Detection.Piotr Duda, Mateusz Wojtulewicz, Robert Nowicki, Leszek Rutkowski
2023ICAISCThe Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach.Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski
2022ICAISCDynamic Signature Verification Using Selected Regions.Marcin Zalasinski, Piotr Duda, Stanislaw Lota, Krzysztof Cpalka
2021ICAISCThe Streaming Approach to Training Restricted Boltzmann Machines.Piotr Duda, Leszek Rutkowski, Piotr Woldan, Patryk Najgebauer
2020ICAISCOn a Streaming Approach for Training Denoising Auto-encoders.Piotr Duda, Lipo Wang
2020ICAISCVisual Hybrid Recommendation Systems Based on the Content-Based Filtering.Piotr Woldan, Piotr Duda, Yoichi Hayashi
2019ICAISCResource-Aware Data Stream Mining Using the Restricted Boltzmann Machine.Maciej Jaworski, Leszek Rutkowski, Piotr Duda, Andrzej Cader
2019ICONIPOn Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine.Maciej Jaworski, Piotr Duda, Danuta Rutkowska, Leszek Rutkowski
2018ICAISCOn Ensemble Components Selection in Data Streams Scenario with Gradual Concept-Drift.Piotr Duda
2018IJCNNConcept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine.Maciej Jaworski, Piotr Duda, Leszek Rutkowski
2018ISNNOnline GRNN-Based Ensembles for Regression on Evolving Data Streams.Piotr Duda, Maciej Jaworski, Leszek Rutkowski
2017ICAISCHeuristic Regression Function Estimation Methods for Data Streams with Concept Drift.Maciej Jaworski, Piotr Duda, Leszek Rutkowski, Patryk Najgebauer, Miroslaw Pawlak
2016ICAISCOn the Cesro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions.Piotr Duda, Lena Pietruczuk, Maciej Jaworski, Adam Krzyzak
2016IJCNNA method for automatic adjustment of ensemble size in stream data mining.Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda
2014IJCNNA novel application of Hoeffding's inequality to decision trees construction for data streams.Piotr Duda, Maciej Jaworski, Lena Pietruczuk, Leszek Rutkowski
2014IJCNNThe Parzen kernel approach to learning in non-stationary environment.Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda
2013ICAISCAdaptation of Decision Trees for Handling Concept Drift.Lena Pietruczuk, Piotr Duda, Maciej Jaworski
2012ICAISCOn the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment.Piotr Duda, Yoichi Hayashi, Maciej Jaworski
2012ICAISCOn Pre-processing Algorithms for Data Stream.Piotr Duda, Maciej Jaworski, Lena Pietruczuk
2012ICAISCOn the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise.Piotr Duda, Marcin Korytkowski
2012ICAISCOn the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment.Meng Joo Er, Piotr Duda
2012ICAISCOn Fuzzy Clustering of Data Streams with Concept Drift.Maciej Jaworski, Piotr Duda, Lena Pietruczuk
2012ICAISCOn Resources Optimization in Fuzzy Clustering of Data Streams.Maciej Jaworski, Lena Pietruczuk, Piotr Duda
2012ICAISCA New Fuzzy Classifier for Data Streams.Lena Pietruczuk, Piotr Duda, Maciej Jaworski
2011PPAMOn the Weak Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks in a Time-Varying Environment.Piotr Duda, Yoichi Hayashi
2011PPAMOn the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise.Piotr Duda, Jacek M. Zurada
2011PPAMOn the Weak Convergence of the Orthogonal Series-Type Kernel Regresion Neural Networks in a Non-stationary Environment.Meng Joo Er, Piotr Duda