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ORCIDPiotr Kulczycki
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- affiliation: AGH University of Science and Technology, Cracow, Poland
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2020 – today
- 2024
[j19]Piotr Kulczycki, Krystian Franus, Malgorzata Charytanowicz:
A quality index for detection of atypical elements (outliers). Int. J. Appl. Math. Comput. Sci. 34(3) (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 Kulczycki, Krystian Franus, Malgorzata Charytanowicz:
Quality of Outlier Detection. ICIS 2024 - 2022
- [j18]Malgorzata Charytanowicz, Kajetan Perzanowski, Maciej Januszczak, Aleksandra Woloszyn-Galeza, Piotr Kulczycki
:
Habitat suitability for wisents in the Carpathians - a model based on presence only data. Ecol. Informatics 69: 101626 (2022) - [c29]Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki, Henryk Czachor:
Deep Learning for Porous Media Classification Based on Micro-CT Images. IJCNN 2022: 1-8 - 2021
- [j17]Piotr Kulczycki, Krystian Franus:
Methodically unified procedures for a conditional approach to outlier detection, clustering, and classification. Inf. Sci. 560: 504-527 (2021) - [c28]Grzegorz Golaszewski, Piotr Kulczycki, Tomasz Szumlak, Szymon Lukasik:
Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods. ICCS (1) 2021: 293-300 - [c27]Piotr Kulczycki, Tomasz Rybotycki:
Predicted Distribution Density Estimation for Streaming Data. ICCS (6) 2021: 567-580 - 2020
- [j16]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) - [c26]Piotr Kulczycki, Krystian Franus:
Outlier Detection, Clustering, and Classification - Methodologically Unified Procedures for Conditional Approach. ICCCI 2020: 328-340
2010 – 2019
- 2019
- [j15]Szymon Lukasik, Konrad Lalik, Piotr Sarna, Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki:
Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors. Int. J. Appl. Math. Comput. Sci. 29(3): 467-476 (2019) - [j14]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) - [c25]Piotr Kulczycki, Damian Kruszewski:
Detection of Rare Elements in Investigation of Medical Problems. ACIIDS (1) 2019: 257-268 - [p3]Piotr A. Kowalski, Szymon Lukasik, Malgorzata Charytanowicz, Piotr Kulczycki:
Nature Inspired Clustering - Use Cases of Krill Herd Algorithm and Flower Pollination Algorithm. Interactions Between Computational Intelligence and Mathematics (2) 2019: 83-98 - [e1]Reneta P. Barneva, Valentin E. Brimkov, Piotr Kulczycki, João Manuel R. S. Tavares:
Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications - 6th International Conference, CompIMAGE 2018, Cracow, Poland, July 2-5, 2018, Revised Selected Papers. Lecture Notes in Computer Science 10986, Springer 2019, ISBN 978-3-030-20804-2 [contents] - 2018
- [j13]Malgorzata Charytanowicz, Piotr Kulczycki, Piotr A. Kowalski, Szymon Lukasik, Róza Czabak-Garbacz:
An evaluation of utilizing geometric features for wheat grain classification using X-ray images. Comput. Electron. Agric. 144: 260-268 (2018) - [j12]Piotr Kulczycki, Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik:
Identification of atypical (rare) elements - a conditional, distribution-free approach. IMA J. Math. Control. Inf. 35(3): 923-937 (2018) - [j11]Artur Nowosielski, Piotr A. Kowalski, Piotr Kulczycki:
Ensembling a Linear Eegression model with an error Mitigation Component. J. Autom. Mob. Robotics Intell. Syst. 12(1): 40-43 (2018) - 2017
- [j10]Piotr Kulczycki, Damian Kruszewski:
Identification of atypical elements by transforming task to supervised form with fuzzy and intuitionistic fuzzy evaluations. Appl. Soft Comput. 60: 623-633 (2017) - [j9]Piotr A. Kowalski, Piotr Kulczycki:
Interval probabilistic neural network. Neural Comput. Appl. 28(4): 817-834 (2017) - [c24]Piotr Andrzej Kowalski, Szymon Lukasik, Malgorzata Charytanowicz, Piotr Kulczycki:
On the Use of Nature Inspired Metaheuristic in Computer Game. FedCSIS 2017: 29-37 - [c23]Szymon Lukasik, Piotr Andrzej Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki:
Data Clustering with Grasshopper Optimization Algorithm. FedCSIS 2017: 71-74 - [c22]Artur Nowosielski, Piotr Andrzej Kowalski, Piotr Kulczycki:
A Database Performance Polynomial Multiple Regression Model. FedCSIS 2017: 743-747 - [c21]Piotr Kulczycki, Damian Kruszewski:
Detection of atypical elements with fuzzy and intuitionistic fuzzy evaluations. KKA 2017: 774-786 - [c20]Piotr Kulczycki, Damian Kruszewski:
Detection of Atypical Elements by Transforming Task to Supervised Form. PReMI 2017: 458-466 - 2016
- [c19]Szymon Lukasik, Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki:
Clustering using flower pollination algorithm and Calinski-Harabasz index. CEC 2016: 2724-2728 - [c18]Piotr Kulczycki, Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik:
Atypical (Rare) Elements Detection - A Conditional Nonparametric Approach. CompIMAGE 2016: 56-64 - [c17]Piotr Andrzej Kowalski, Szymon Lukasik, Malgorzata Charytanowicz, Piotr Kulczycki:
Clustering based on the Krill Herd Algorithm with Selected Validity Measures. FedCSIS 2016: 79-87 - [c16]Artur Nowosielski, Piotr Andrzej Kowalski, Piotr Kulczycki:
The Column-oriented Data Store Performance Considerations. FedCSIS 2016: 877-881 - [c15]Malgorzata Charytanowicz, Jerzy Niewczas, Piotr Kulczycki, Piotr A. Kowalski, Szymon Lukasik:
Discrimination of Wheat Grain Varieties Using X-Ray Images. ITIB (1) 2016: 39-50 - 2015
- [c14]Piotr Kulczycki, Piotr A. Kowalski:
Classification of Interval Information with Data Drift. CONTEXT 2015: 495-500 - [c13]Artur Nowosielski, Piotr A. Kowalski, Piotr Kulczycki:
The column-oriented database partitioning optimization based on the natural computing algorithms. FedCSIS 2015: 1035-1041 - 2014
- [j8]Piotr Kulczycki, Szymon Lukasik:
An algorithm for reducing the dimension and size of a sample for data exploration procedures. Int. J. Appl. Math. Comput. Sci. 24(1): 133-149 (2014) - [c12]Piotr A. Kowalski, Piotr Kulczycki:
Neural Classification for Interval Information. AIMSA 2014: 206-213 - [c11]Piotr Kulczycki, Malgorzata Charytanowicz:
Conditional Multidimensional Parameter Identification with Asymmetric Correlated Losses of Estimation Errors. ICONIP (2) 2014: 287-294 - [c10]Malgorzata Charytanowicz, Piotr Kulczycki:
An Image Analysis Algorithm for Soil Structure Identification. IEEE Conf. on Intelligent Systems (2) 2014: 681-692 - 2013
- [c9]Szymon Lukasik, Piotr Kulczycki:
Using Topology Preservation Measures for Multidimensional Intelligent Data Analysis in the Reduced Feature Space. ICAISC (2) 2013: 184-193 - [c8]Piotr Kulczycki, Piotr Andrzej Kowalski:
An Algorithm of Classification for Nonstationary Case. MICAI (2) 2013: 301-313 - 2012
- [c7]Piotr Kulczycki, Malgorzata Charytanowicz:
Conditional Parameter Identification with Asymmetrical Losses of Estimation Errors. ICCCI (1) 2012: 553-562 - [d1]Malgorzata Charytanowicz, Jerzy Niewczas, Piotr Kulczycki, Piotr A. Kowalski, Szymon Lukasik:
seeds. UCI Machine Learning Repository, 2012
- 2011
- [c6]Szymon Lukasik, Piotr Kulczycki:
An Algorithm for Sample and Data Dimensionality Reduction Using Fast Simulated Annealing. ADMA (1) 2011: 152-161 - [c5]Piotr Kulczycki, Malgorzata Charytanowicz:
A Complete Gradient Clustering Algorithm. AICI (3) 2011: 497-504 - 2010
- [j7]Piotr Kulczycki, Malgorzata Charytanowicz:
A complete gradient clustering algorithm formed with kernel estimators. Int. J. Appl. Math. Comput. Sci. 20(1): 123-134 (2010) - [c4]Piotr A. Kowalski, Piotr Kulczycki:
Data Sample Reduction for Classification of Interval Information Using Neural Network Sensitivity Analysis. AIMSA 2010: 271-272
2000 – 2009
- 2008
- [j6]Piotr Kulczycki, Malgorzata Charytanowicz:
Asymmetrical Conditional Bayes Parameter Identification for Control Engineering. Cybern. Syst. 39(3): 229-243 (2008) - [c3]Szymon Lukasik, Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki:
Fuzzy Models Synthesis with Kernel-Density-Based Clustering Algorithm. FSKD (3) 2008: 449-453 - [p2]Malgorzata Charytanowicz, Piotr Kulczycki:
Nonparametric Regression for Analyzing Correlation between Medical Parameters. Information Technologies in Biomedicine 2008: 437-444 - [p1]Piotr Kulczycki:
Kernel Estimators in Industrial Applications. Soft Computing Applications in Industry 2008: 69-91 - 2004
- [c2]Piotr Kulczycki:
Kernel estimators for analysis of systems with fuzzy uncertainties. FUZZ-IEEE 2004: 1179-1184 - [c1]Piotr Kulczycki, Rafael Wisniewski, Piotr A. Kowalski, Karol Krawiec:
Soft time-suboptimal controlling structure for mechanical systems. RoMoCo 2004: 237-242 - 2003
- [j5]Rafal Wisniewski, Piotr Kulczycki:
Rotational motion control of a spacecraft. IEEE Trans. Autom. Control. 48(4): 643-646 (2003) - 2002
- [j4]Piotr Kulczycki, Rafael Wisniewski:
Fuzzy controller for a system with uncertain load. Fuzzy Sets Syst. 131(2): 185-195 (2002) - [j3]Piotr Kulczycki:
Statistical inference for fault detection: a complete algorithm based on kernel estimators. Kybernetika 38(2): 141-168 (2002) - 2000
- [j2]Piotr Kulczycki:
Fuzzy controller for mechanical systems. IEEE Trans. Fuzzy Syst. 8(5): 645-652 (2000)
1990 – 1999
- 1997
- [j1]Henrik Schiøler, Piotr Kulczycki:
Neural network for estimating conditional distributions. IEEE Trans. Neural Networks 8(5): 1015-1025 (1997)
Coauthor Index
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last updated on 2024-11-26 21:43 CET by the dblp team
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