Piotr Duda
Orcid: 0000-0001-7182-1349
According to our database1,
Piotr Duda
authored at least 50 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Inf. Sci., 2024
Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring.
Appl. Soft Comput., 2024
2023
The Proper Use of Fibre-Optic Sensors to Monitor the Condition of the Steam Boiler Hanger Rods.
Sensors, September, 2023
A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps.
J. Artif. Intell. Soft Comput. Res., March, 2023
The <i>L</i><sub>2</sub> convergence of stream data mining algorithms based on probabilistic neural networks.
Inf. Sci., 2023
Evaluation of Homogeneity of Effervescent Tablets Containing Quercetin and Calcium Using X-ray Microtomography and Hyperspectral Analysis.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
The Analysis of Optimizers in Training Artificial Neural Networks Using the Streaming Approach.
Proceedings of the Artificial Intelligence and Soft Computing, 2023
2022
Noise Robust Illumination Invariant Face Recognition Via Bivariate Wavelet Shrinkage in Logarithm Domain.
J. Artif. Intell. Soft Comput. Res., 2022
Proceedings of the Artificial Intelligence and Soft Computing, 2022
2021
Proceedings of the Artificial Intelligence and Soft Computing, 2021
2020
On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification.
IEEE Trans. Cybern., 2020
Mach. Vis. Appl., 2020
A Novel Drift Detection Algorithm Based on Features' Importance Analysis in a Data Streams Environment.
J. Artif. Intell. Soft Comput. Res., 2020
J. Artif. Intell. Soft Comput. Res., 2020
Proceedings of the Artificial Intelligence and Soft Computing, 2020
Proceedings of the Artificial Intelligence and Soft Computing, 2020
2019
Corrigendum to 'How to adjust an ensemble size in stream data mining?' Information Sciences, vol. 381 (2017), pp. 46-54.
Inf. Sci., 2019
On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the Artificial Intelligence and Soft Computing, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks.
Inf. Sci., 2018
Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks.
Int. J. Neural Syst., 2018
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
On Ensemble Components Selection in Data Streams Scenario with Gradual Concept-Drift.
Proceedings of the Artificial Intelligence and Soft Computing, 2018
2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
On ensemble components selection in data streams scenario with reoccurring concept-drift.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Heuristic Regression Function Estimation Methods for Data Streams with Concept Drift.
Proceedings of the Artificial Intelligence and Soft Computing, 2017
2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions.
Proceedings of the Artificial Intelligence and Soft Computing, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
2014
IEEE Trans. Knowl. Data Eng., 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
A novel application of Hoeffding's inequality to decision trees construction for data streams.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
IEEE Trans. Knowl. Data Eng., 2013
On a Splitting Criterion for Decision Trees in Data Streams.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013
On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description.
Proceedings of the Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions - Selected Papers from KICSS'2013, 2013
Proceedings of the Artificial Intelligence and Soft Computing, 2013
2012
Proceedings of the Artificial Intelligence and Soft Computing, 2012
Proceedings of the Artificial Intelligence and Soft Computing, 2012
Proceedings of the Artificial Intelligence and Soft Computing, 2012
On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment.
Proceedings of the Artificial Intelligence and Soft Computing, 2012
On the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise.
Proceedings of the Artificial Intelligence and Soft Computing, 2012
Proceedings of the Artificial Intelligence and Soft Computing, 2012
On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment.
Proceedings of the Artificial Intelligence and Soft Computing, 2012
2011
On the Weak Convergence of the Orthogonal Series-Type Kernel Regresion Neural Networks in a Non-stationary Environment.
Proceedings of the Parallel Processing and Applied Mathematics, 2011
On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise.
Proceedings of the Parallel Processing and Applied Mathematics, 2011
On the Weak Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks in a Time-Varying Environment.
Proceedings of the Parallel Processing and Applied Mathematics, 2011