Piotr Duda

54 papers B 4C 1Journal 19Unranked 30
YearRankTypeTitle / Venue / Authors
2025 — conf
Approximate Importance-Based Sampling for Neural Network Training.
ICAISC (1)
Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski
2025 — conf
Improved DeepFool: Efficient Adversarial Attacks via Optimization and Refinement.
ISD
Lukasz Mikolajczyk, Piotr Duda, Robert Nowicki, Rafal Scherer
2025 — conf
On Speeding Up the Training of Deep Neural Networks Using the Streaming Approach: The Base-Values Mechanism.
CLD2
Mateusz Wojtulewicz, Piotr Duda, Robert Nowicki, Leszek Rutkowski
2024 J jnl
Accelerating deep neural network learning using data stream methodology.
Inf. Sci.
Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski
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
2024 — conf
Speedup of Training Deep Neural Networks in the Streaming Approach Using Genetic Algorithms with an Application of Drift Detection.
ICAISC (1)
Piotr Duda, Mateusz Wojtulewicz, Robert Nowicki, Leszek Rutkowski
2023 J jnl
A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps.
J. Artif. Intell. Soft Comput. Res.
Piotr Woldan, Piotr Duda, Andrzej Cader, Ivan Laktionov
2023 — conf
Evaluation of Homogeneity of Effervescent Tablets Containing Quercetin and Calcium Using X-ray Microtomography and Hyperspectral Analysis.
IWBBIO (1)
Michal Meisner, Piotr Duda, Beata Szulc-Musiol, Beata Sarecka-Hujar
2023 J jnl
The
Inf. Sci.
Danuta Rutkowska, Piotr Duda, Jinde Cao, Leszek Rutkowski, Aleksander Byrski, Maciej Jaworski, Dacheng Tao
2023 — conf
The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach.
ICAISC (1)
Piotr Duda, Mateusz Wojtulewicz, Leszek Rutkowski
2023 J jnl
The Proper Use of Fibre-Optic Sensors to Monitor the Condition of the Steam Boiler Hanger Rods.
Sensors
Magdalena Palacz, Boleslaw Bak, Lukasz Felkowski, Piotr Duda, Iliya Iliev
2022 — conf
Dynamic Signature Verification Using Selected Regions.
ICAISC (2)
Marcin Zalasinski, Piotr Duda, Stanislaw Lota, Krzysztof Cpalka
2022 J jnl
Noise Robust Illumination Invariant Face Recognition Via Bivariate Wavelet Shrinkage in Logarithm Domain.
J. Artif. Intell. Soft Comput. Res.
Guang Yi Chen, Adam Krzyzak, Piotr Duda, Andrzej Cader
2021 — conf
The Streaming Approach to Training Restricted Boltzmann Machines.
ICAISC (1)
Piotr Duda, Leszek Rutkowski, Piotr Woldan, Patryk Najgebauer
2020 J jnl
A Novel Drift Detection Algorithm Based on Features' Importance Analysis in a Data Streams Environment.
J. Artif. Intell. Soft Comput. Res.
Piotr Duda, Krzysztof Przybyszewski, Lipo Wang
2020 J jnl
Analysis of microtomographic images in automatic defect localization and detection.
Mach. Vis. Appl.
Mariusz Marzec, Piotr Duda, Zygmunt Wróbel
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 — conf
On a Streaming Approach for Training Denoising Auto-encoders.
ICAISC (2)
Piotr Duda, 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
2020 — conf
Visual Hybrid Recommendation Systems Based on the Content-Based Filtering.
ICAISC (2)
Piotr Woldan, Piotr Duda, Yoichi Hayashi
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 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 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 — conf
On Ensemble Components Selection in Data Streams Scenario with Gradual Concept-Drift.
ICAISC (2)
Piotr Duda
2018 C conf
Online GRNN-Based Ensembles for Regression on Evolving Data Streams.
ISNN
Piotr Duda, Maciej Jaworski, Leszek Rutkowski
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
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 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 Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment.
ICAISC (1)
Piotr Duda, Yoichi Hayashi, Maciej Jaworski
2012 — conf
On the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise.
ICAISC (1)
Piotr Duda, Marcin Korytkowski
2012 — conf
On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment.
ICAISC (1)
Meng Joo Er, Piotr Duda
2011 — conf
On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise.
PPAM (1)
Piotr Duda, Jacek M. Zurada
2011 — conf
On the Weak Convergence of the Orthogonal Series-Type Kernel Regresion Neural Networks in a Non-stationary Environment.
PPAM (1)
Meng Joo Er, Piotr Duda
2011 — conf
On the Weak Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks in a Time-Varying Environment.
PPAM (1)
Piotr Duda, Yoichi Hayashi