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. Adjusting the type of neural networks to evaluate children's gait / Maria Skublewska-Paszkowska, Paweł Powroźnik, Edyta Łukasik, Jakub Smołka, Marek Miłosz, Jolanta Taczała, Agnieszka Zdzienicka-Chyła, Anna Kosiecz. [W]: Computational Intelligence Information Technology and Systems Research.- 2020, s. 119-131 [MNiSW: 20]
3. Aggregation of Tennis Groundstrokes on the Basis of the Choquet Integral and Its Generalizations / Maria Skublewska-Paszkowska, Paweł Powroźnik, Paweł Karczmarek, Edyta Łukasik. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2022.- 2022, s. 1-8 [MNiSW: 140]
4. Aggregation of Tennis Multivariate Time-Series Using the Choquet Integral and Its Generalizations / Maria Skublewska-Paszkowska, Paweł Karczmarek, Paweł Powroźnik, Edyta Łukasik, Jakub Smołka, Michał Dolecki. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2023.- 2023, s. 1-6 [MNiSW: 70]
5. Analysis of selected Lazgi dance sequences using three-dimensional motion capture data / Edyta Łukasik, Maria Skublewska-Paszkowska, Paweł Powroźnik, Jakub Smołka, Marek Miłosz, Dilbar Mukhamedova, Elżbieta Miłosz. [W]: Computer technologies in sharing the cultural heritage and education of the Silk Road from Uzbekistans.- 2022, s. 107-118 [MNiSW: 20]
6. Analysis of Sub-Integral Functions in the Aggregation of Classification Results Using Generalizations of the Choquet Integral on the Example of Emotion Classification / Paweł Karczmarek, Paweł Powroźnik, Maria Skublewska-Paszkowska, Sławomir Przyłucki, Edyta Łukasik. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2022.- 2022, s. 1-8 [MNiSW: 140]
7. Attention Temporal Graph Convolutional Network for Tennis Groundstrokes Phases Classification / Maria Skublewska-Paszkowska, Paweł Powroźnik, Edyta Łukasik. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2022.- 2022, s. 1-8 [MNiSW: 140]
8. Human emotions recognition with the use of speech signal of Polish language / Dariusz Czerwiński, Paweł Powroźnik. [W]: 2018 Conference on Electrotechnology : Processes, Models, Control and Computer Science (EPMCCS).- 2018, s. 1-6 [MNiSW: 15]
9. Management of fair allocation of network resources in stream services based on SDN principles / Sławomir Przyłucki, Paweł Powroźnik. [W]: Modern Computational Methods and their Applications in Engineering Science.- 2020, s. 21-34 [MNiSW: 20]
10. On the Detection of Anomalies with the Use of Choquet Integral and Their Interpretability in Motion Capture Data / Michał Dolecki, Paweł Karczmarek, Łukasz Gałka, Magdalena Zawadka, Jakub Smołka, Maria Skublewska-Paszkowska, Edyta Łukasik, Paweł Powroźnik, Piotr Gawda, Dariusz Czerwiński. [W]: IEEE International Conference on Fuzzy Systems (FUZZ) 2022.- 2022, s. 1-9 [MNiSW: 140]
11. 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]
12. Recognition of Tennis Shots Using Convolutional Neural Networks Based on Three-Dimensional Data / Maria Skublewska-Paszkowska, Edyta Łukasik, Bartłomiej Szydłowski, Jakub Bartłomiej Smołka, Paweł Powroźnik. [W]: Man-Machine Interactions 6 : 6th International Conference on Man-Machine Interactions, ICMMI 2019, Cracow, Poland, October 2-3, 2019.- 2019, s. 146-155 [MNiSW: 20]
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