Fragmenty książek
1. A Comprehensive Analysis of the Impact of Selecting the Training Set Elements on the Correctness of Classification for Highly Variable Ecological Data / Adam Kiersztyn, Rafał Łopucki, Krystyna Kiersztyn, Paweł Karczmarek, Paweł Powroźnik, Dariusz Czerwiński, Witold Pedrycz. [W]: IEEE CIS International Conference on Fuzzy Systems 2021 : Conference Proceedings.- 2021, s. 1-6 [MNiSW: 140]
2. Analysis of self-awareness of beginning programmers / Adam Kiersztyn, Krystyna Kiersztyn, Patrycja Jędrzejewska-Rzezak, Paweł Karczmarek, Witold Pedrycz. [W]: Computational Intelligence, Information Systems and Data Mining.- 2021, s. 153-169 [MNiSW: 20]
3. Classification of Complex Ecological Objects with the Use of Information Granules / Adam Kiersztyn, Krystyna Kiersztyn, Paweł Karczmarek, Marek Kamiński, Ignacy Kitowski, Adam Zbyryt, Rafał Łopucki, Grzegorz Pitucha, Witold Pedrycz. [W]: IEEE CIS International Conference on Fuzzy Systems 2021 : Conference Proceedings.- 2021, s. 1-6 [MNiSW: 140]
4. Data Imputation in Related Time Series Using Fuzzy Set-Based Techniques / Adam Kiersztyn, Paweł Karczmarek, Rafał Łopucki, Witold Pedrycz, Ebru Al, Ignacy Kitowski, Adam Zbyryt. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2020 : conference proceedings.- 2020, s. 1-8 [MNiSW: 140]
5. Enhanced Tree-Based Anomaly Detection / Paweł Karczmarek, Łukasz Gałka, Michał Dolecki, Witold Pedrycz, Dariusz Czerwinski, Adam Kiersztyn, Rafał Stęgierski. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2022.- 2022, s. 1-7 [MNiSW: 140]
6. Fuzzy set-based isolation forest / Paweł Karczmarek, Adam Kiersztyn, Witold Pedrycz. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2020 : conference proceedings.- 2020, s. 1-6 [MNiSW: 140]
7. Generalizations of Aggregation Functions for Face Recognition / Paweł Karczmarek, Adam Kiersztyn, Witold Pedrycz. [W]: Artificial Intelligence and Soft Computing : 18th International Conference, ICAISC 2019, Zakopane, June 16–20, 2019, Proceedings. Pt 2.- 2019, s. 182-192 [MNiSW: 20]
8. K-Medoids Clustering and Fuzzy Sets for Isolation Forest / Paweł Karczmarek, Adam Kiersztyn, Witold Pedrycz, Marcin Badurowicz, Dariusz Czerwiński, Jerzy Montusiewicz. [W]: IEEE CIS International Conference on Fuzzy Systems 2021 : Conference Proceedings.- 2021, s. 1-8 [MNiSW: 140]
9. Quadrature-Inspired Generalized Choquet Integral / Paweł Karczmarek, Michał Dolecki, Paweł Powroźnik, Łukasz Gałka, Witold Pedrycz, Dariusz Czerwinski. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2022.- 2022, s. 1-7 [MNiSW: 140]
10. Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Anomaly Detection / Paweł Karczmarek, Michał Dolecki, Łukasz Gałka, Witold Pedrycz, Dariusz Czerwinski. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2023.- 2023, s. 1-8 [MNiSW: 70]
11. The assessment of importance of selected issues of software engineering, IT project management, and programming paradigms based on graphical AHP and fuzzy c-means / Paweł Karczmarek, Witold Pedrycz, Dariusz Czerwiński, Adam Kiersztyn. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2020 : conference proceedings.- 2020, s. 1-7 [MNiSW: 140]
12. The concept of a supply chain management system using intermodal transport: a case study / Adam Kiersztyn, Paweł Karczmarek, Witold Pedrycz, Ebru Al. [W]: Computational Intelligence Information Technology and Systems Research.- 2020, s. 71-80 [MNiSW: 20]
13. The Concept of Detecting and Classifying Anomalies in Large Data Sets on a Basis of Information Granules / Adam Kiersztyn, Paweł Karczmarek, Krystyna Kiersztyn, Witold Pedrycz. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2020 : conference proceedings.- 2020, s. 1-7 [MNiSW: 140]
14. The Concept of Granular Representation of the Information Potential of Variables / Adam Kiersztyn, Paweł Karczmarek, Krystyna Kiersztyn, Rafał Łopucki, Stanisław Grzegórski, Witold Pedrycz. [W]: IEEE CIS International Conference on Fuzzy Systems 2021 : Conference Proceedings.- 2021, s. 1-6 [MNiSW: 140]
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