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Piotr A. Kowalski
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- affiliation: Polish Academy of Sciences, Systems Research Institute, Poland
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2020 – today
- 2025
- [i1]Piotr A. Kowalski, Szymon Kucharczyk, Jacek Mandziuk:
Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning. CoRR abs/2501.15661 (2025) - 2024
- [j24]Martina Casari, Piotr A. Kowalski, Laura Po:
Optimisation of the adaptive neuro-fuzzy inference system for adjusting low-cost sensors PM concentrations. Ecol. Informatics 83: 102781 (2024) - [c31]Piotr A. Kowalski, Ernest Jeczmionek, Malgorzata Charytanowicz, Szymon Lukasik, Jerzy Niewczas, Piotr Kulczycki:
Classification of Wheat Species Using Convolutional Neural Networks: A Comparative Study. FABULOUS 2024: 3-8 - [c30]Piotr A. Kowalski, Tomasz Sloczynski:
Mitigating Saturation in Fuzzy-Flip-Flop Neural Networks Trained with Memetic PSO Algorithm. FUZZ 2024: 1-8 - 2023
- [j23]Ernest Jeczmionek, Piotr A. Kowalski
:
Choice of the p-norm for high level classification features pruning in modern convolutional neural networks with local sensitivity analysis. Int. J. Appl. Math. Comput. Sci. 33(4) (2023) - [j22]Piotr A. Kowalski
The forensic information identification based on machine learning algorithms. Forensic Sci. Int. Digit. Investig. 47: 301619 (2023) - [c29]Piotr A. Kowalski
A New Particle Swarm Optimisation Based Memetic Procedure for Fuzzy J-K Flop Neural Networks Learning. FUZZ 2023: 1-6 - [c28]Piotr A. Kowalski
Feature selection for regression tasks base on explainable artificial intelligence procedures. IJCNN 2023: 1-8 - 2022
- [j21]Maciej Trzcinski
Clustering with Nature-Inspired Algorithm Based on Territorial Behavior of Predatory Animals. Algorithms 15(2): 43 (2022) - [j20]Maciej Kusy
Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms. Appl. Soft Comput. 128: 109387 (2022) - [j19]Ernest Jeczmionek, Piotr A. Kowalski
Input reduction of convolutional neural networks with global sensitivity analysis as a data-centric approach. Neurocomputing 506: 196-205 (2022) - [j18]Piotr A. Kowalski
Parallel complete gradient clustering algorithm and its properties. Inf. Sci. 600: 155-169 (2022) - [c27]Piotr A. Kowalski
Saturation in Fuzzy Flip-Flop Neural Networks. FUZZ-IEEE 2022: 1-8 - [c26]Malgorzata Charytanowicz, Piotr A. Kowalski
Deep Learning for Porous Media Classification Based on Micro-CT Images. IJCNN 2022: 1-8 - [c25]Maciej Kusy, Piotr A. Kowalski
Machine learning techniques for explaining air pollution prediction. IJCNN 2022: 1-8 - 2021
- [j17]Piotr A. Kowalski
A modified particle swarm optimization procedure for triggering fuzzy flip-flop neural networks. Int. J. Appl. Math. Comput. Sci. 31(4): 577-586 (2021) - [j16]Piotr Andrzej Kowalski
Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland. Ecol. Informatics 63: 101284 (2021) - [j15]Piotr A. Kowalski, Szymon Lukasik:
Preface to Special Issue on Recent Advances in Information Technology III. J. Autom. Mob. Robotics Intell. Syst. 14(3): 18-19 (2021) - [j14]Ernest Jeczmionek
Flattening Layer Pruning in Convolutional Neural Networks. Symmetry 13(7): 1147 (2021) - [c24]Szymon Lukasik
Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions. ICCS (2) 2021: 92-103 - 2020
- [j13]Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki:
Preface to Special Issue on Recent Advances in Machine Learning and its Applications. J. Autom. Mob. Robotics Intell. Syst. 14(2): 30-31 (2020) - [c23]Piotr A. Kowalski, Maciej Kusy, Szymon Kubasiak, Szymon Lukasik:
Probabilistic Neural Network - parameters adjustment in classification task. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j12]Szymon Lukasik
Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors. Int. J. Appl. Math. Comput. Sci. 29(3): 467-476 (2019) - [j11]Piotr A. Kowalski, Szymon Lukasik:
Preface to Special Issue of the Journal of Automation, Mobile Robotics and Intelligent Systems on Recent Advances in Information Technology II. J. Autom. Mob. Robotics Intell. Syst. 13(1): 71-72 (2019) - [j10]Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki:
Preface to Special Issue on Contemporary Problems of Computer Science, Physics and Applied Mathematics. J. Autom. Mob. Robotics Intell. Syst. 13(3): 39-40 (2019) - [c22]Piotr A. Kowalski
Crow Search Algorithm for Continuous Optimization Tasks. CoDIT 2019: 7-12 - [p1]Piotr A. Kowalski, Szymon Lukasik
Nature Inspired Clustering - Use Cases of Krill Herd Algorithm and Flower Pollination Algorithm. Interactions Between Computational Intelligence and Mathematics (2) 2019: 83-98 - 2018
- [j9]Malgorzata Charytanowicz
An evaluation of utilizing geometric features for wheat grain classification using X-ray images. Comput. Electron. Agric. 144: 260-268 (2018) - [j8]Piotr A. Kowalski
Determining significance of input neurons for probabilistic neural network by sensitivity analysis procedure. Comput. Intell. 34(3): 895-916 (2018) - [j7]Piotr Kulczycki
Identification of atypical (rare) elements - a conditional, distribution-free approach. IMA J. Math. Control. Inf. 35(3): 923-937 (2018) - [j6]Maciej Kusy
Weighted probabilistic neural network. Inf. Sci. 430: 65-76 (2018) - [j5]Artur Nowosielski, Piotr A. Kowalski
Ensembling a Linear Eegression model with an error Mitigation Component. J. Autom. Mob. Robotics Intell. Syst. 12(1): 40-43 (2018) - [j4]Piotr A. Kowalski
Sensitivity Analysis for Probabilistic Neural Network Structure Reduction. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1919-1932 (2018) - 2017
- [j3]Jolanta Kempter, Piotr A. Kowalski
Computational modelling of cormorant swarm. Ecol. Informatics 37: 59-65 (2017) - [j2]Piotr A. Kowalski
Interval probabilistic neural network. Neural Comput. Appl. 28(4): 817-834 (2017) - [c21]Piotr Andrzej Kowalski
On the Use of Nature Inspired Metaheuristic in Computer Game. FedCSIS 2017: 29-37 - [c20]Piotr Andrzej Kowalski
Determining the significance of features with the use of Sobol' method in probabilistic neural network classification tasks. FedCSIS 2017: 39-48 - [c19]Szymon Lukasik
Data Clustering with Grasshopper Optimization Algorithm. FedCSIS 2017: 71-74 - [c18]Artur Nowosielski, Piotr Andrzej Kowalski
A Database Performance Polynomial Multiple Regression Model. FedCSIS 2017: 743-747 - 2016
- [j1]Piotr A. Kowalski
Training Neural Networks with Krill Herd Algorithm. Neural Process. Lett. 44(1): 5-17 (2016) - [c17]Szymon Lukasik
Clustering using flower pollination algorithm and Calinski-Harabasz index. CEC 2016: 2724-2728 - [c16]Piotr Kulczycki, Malgorzata Charytanowicz
Atypical (Rare) Elements Detection - A Conditional Nonparametric Approach. CompIMAGE 2016: 56-64 - [c15]Piotr Andrzej Kowalski
Clustering based on the Krill Herd Algorithm with Selected Validity Measures. FedCSIS 2016: 79-87 - [c14]Maciej Kusy
Modification of the Probabilistic Neural Network with the Use of Sensitivity Analysis Procedure. FedCSIS 2016: 97-103 - [c13]Artur Nowosielski, Piotr Andrzej Kowalski
The Column-oriented Data Store Performance Considerations. FedCSIS 2016: 877-881 - [c12]Malgorzata Charytanowicz, Jerzy Niewczas, Piotr Kulczycki, Piotr A. Kowalski
Discrimination of Wheat Grain Varieties Using X-Ray Images. ITIB (1) 2016: 39-50 - 2015
- [c11]Piotr Kulczycki, Piotr A. Kowalski
Classification of Interval Information with Data Drift. CONTEXT 2015: 495-500 - [c10]Artur Nowosielski, Piotr A. Kowalski
The column-oriented database partitioning optimization based on the natural computing algorithms. FedCSIS 2015: 1035-1041 - 2014
- [c9]Piotr A. Kowalski, Piotr Kulczycki:
Neural Classification for Interval Information. AIMSA 2014: 206-213 - [c8]Szymon Lukasik
Fully Informed Swarm Optimization Algorithms: Basic Concepts, Variants and Experimental Evaluation. FedCSIS 2014: 155-161 - [c7]Szymon Lukasik
Study of Flower Pollination Algorithm for Continuous Optimization. IEEE Conf. on Intelligent Systems (1) 2014: 451-459 - [c6]Piotr A. Kowalski
Experimental Study of Selected Parameters of the Krill Herd Algorithm. IEEE Conf. on Intelligent Systems (1) 2014: 473-485 - 2013
- [c5]Piotr A. Kowalski
Evolutionary Strategy for the Fuzzy Flip-Flop Neural Networks Supervised Learning Procedure. ICAISC (1) 2013: 294-305 - [c4]Piotr Kulczycki, Piotr Andrzej Kowalski
An Algorithm of Classification for Nonstationary Case. MICAI (2) 2013: 301-313 - 2012
- [d1]Malgorzata Charytanowicz, Jerzy Niewczas, Piotr Kulczycki, Piotr A. Kowalski, Szymon Lukasik:
seeds. UCI Machine Learning Repository, 2012 - 2010
- [c3]Piotr A. Kowalski
Data Sample Reduction for Classification of Interval Information Using Neural Network Sensitivity Analysis. AIMSA 2010: 271-272
2000 – 2009
- 2008
- [c2]Szymon Lukasik
Fuzzy Models Synthesis with Kernel-Density-Based Clustering Algorithm. FSKD (3) 2008: 449-453 - 2004
- [c1]Piotr Kulczycki, Rafael Wisniewski, Piotr A. Kowalski, Karol Krawiec:
Soft time-suboptimal controlling structure for mechanical systems. RoMoCo 2004: 237-242
Coauthor Index
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last updated on 2025-02-27 22:49 CET by the dblp team
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