mgr inż. Jarosław Szkoła
- Jednostka:
Wydział Nauk Ścisłych i Technicznych, Instytut Informatyki - Budynek: A0 (korytarz B1), ul. prof. Stanisława Pigonia 1
- Pokój: 349
- Nr telefonu: 17 851 8599
- e-mail: [email protected]
- ORCID: 0000-0002-6043-3313
- Konsultacje dla studentów: Poniedziałek, 16:30 - 18:00
Informacje
Autor wielu publikacji z zakresu sztucznej inteligencji, uczenia maszynowego, robotyki.
Główny obszar zainteresowań:
- robotyka,
- elektronika,
- sztuczna inteligencja,
- uczenie federacyjne oraz uczenie maszynowe i akwizycja i analiza danych.,
- uczenie federacyjne z uwzględnieniem danych niepełnych,
- projektowanie, badanie i trenowanie dużych modeli językowych LLM
Autor wielu nowoczesnych narzędzi dydaktycznych w postaci gier decyzyjnych z następujących obszarów:
- informatyka
- ekonomia
- kosmetologia
- turystyka
- zarządzanie szpitalem
Publikacje
- [współaut.] Pękala B, Grochowalski P, Gil D [et al.] A Novel Method for Human Fall Detection Using Federated Learning and Interval-Valued Fuzzy Inference Systems. - Journal of Artificial Intelligence and Soft Computing Research, 2025, Vol. 15, No. 1, p. 77-90
- [współaut.] Pękala B, Grzegorzewski P, Kosior D PRISM-FL-A Privacy-Aware Decision Support System for Enhanced Medical Diagnostics Based on Federated Learning. - IEEE Access, 2025, Vol. 13, p. 200338-200350
- [współaut.] Pękala B, Dyczkowski K Refining Uncertainty Management in Machine Learning: An Interval-Valued Fuzzy Set Approach to Logistic Regression W: Information Processing and Management of Uncertainty in Knowledge-Based Systems : 20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 3 / eds. Marie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat, Joao Paulo Carvalho, Fernando Batista, Bernadette Bouchon-Meunier, Ronald R. Yager. Cham, Springer: 2025, S. 233-246
- [współaut.] Paja T, Paja W Application of binary subnetworks to classify images potentially containing melanocytic skin lesions. - Procedia Computer Science, 2024, Vol. 246, p. 4515-4523
- [współaut.] Pękala B, Wilbik A, Dyczkowski K [et al.] Federated Learning with the Choquet Integral as Aggregation Method W: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) : Yokohama, Japan, 30 June 2024 - 05 July 2024 / ed. DeLiang Wang, Taro Toyoizumi. Piscataway, Institute of Electrical and Electronics Engineers IEEE: 2024, S. 1-8
- [współaut.] Pękala B, Dyczkowski K, Wilbik A Federated Similarity-Based Learning with Incomplete Data W: 2023 IEEE International Conference on Fuzzy Systems (FUZZ) / eds. Frank Chung-Hoon Rhee, Byung-Jae Choi. Piscataway, Institute of Electrical and Electronics Engineers IEEE: 2023, S. 1-6
- [współaut.] Paja W, Pancerz K, Sarzyński J [et al.] Identification of Melanocytic Skin Lesions Using Deep Learning Methods W: Progress in Polish Artificial Intelligence Research 4 / edkacja naukowa Adam Wojciechowski, Piotr Lipiński. Łódź, Politechnika Łódzka: 2023, S. 239-244
- [współaut.] Paja W, Sarzyński J, Żychowska M A Preliminary Research on Automatic Identification of Melanocytic Skin Lesions from Digital Images W: 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems / eds. G.A. Tsihrintzis, C. Toro, S.A. Rios, R.J. Howlett, L.C. Jain. Amsterdam, Elsevier: 2023, S. 4706-4712
- [współaut.] Wilbik A, Pękala B, Dyczkowski K A Comparison of Client Weighting Schemes in Federated Learning W: Uncertainty and Imprecision in Decision Making and Decision Support : New Advances, Challenges, and Perspectives. Selected papers from BOS-2022, Held on October 13-15, 2022, and IWIFSGN-2022, Held on October 13-14, 2022, in Warsaw, Poland / Editors Krassimir T. Atanassov, Vassia Atanassova, Janusz Kacprzyk, Andrzej Kałuszko, Maciej Krawczak, Jan W. Owsiński, Sotir S. Sotirov, Evdokia Sotirova, Eulalia Szmidt, Sławomir Zadrożny. Cham, Springer: 2023, S.116-128
- [współaut.] Wilbik A, Pękala B, Dyczkowski K The Sugeno Integral Used for Federated Learning with Uncertainty for Unbalanced Data W: 2023 IEEE International Conference on Fuzzy Systems (FUZZ) / eds. Frank Chung-Hoon Rhee, Byung-Jae Choi. Piscataway, Institute of Electrical and Electronics Engineers IEEE: 2023, S. 1-6
- [współaut.] Bąk B, Wilk J, Artiemjew P [et al.] In-Field Detection of American Foulbrood (AFB) by Electric Nose Using Classical Classification Techniques and Sequential Neural Networks. - Sensors, 2022, Vol. 22, iss. 3
- [współaut.] Dyczkowski K, Pękala B, Wilbik A Federated learning with uncertainty on the example of a medical data W: 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / eds. Marco Gori, Alessandro Sperduti, Piero Bonissone. Piscataway, Institute of Electrical and Electronics Engineers IEEE: 2022, S. 1-8
- [współaut.] Pękala B, Dyczkowski K, Kosior D Selection of Relevant Features Based on Optimistic and Pessimistic Similarities Measures of Interval-Valued Fuzzy Sets W: Information Processing and Management of Uncertainty in Knowledge-Based Systems : 19th International Conference, IPMU 2022, Milan, Italy, July 11-15, 2022, Proceedings, Part I / eds. Davide Ciucci, Inés Couso, Jesús Medina, Dominik Ślęzak, Davide Petturiti, Bernadette Bouchon-Meunier, Ronald R. Yager. Cham, Springer: 2022, S. 307-319
- [współaut.] Pękala B, Dyczkowski K, Kosior D Classification of uncertain data with a selection of relevant features based on similarities measures of Interval-Valued Fuzzy Sets W: 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Piscataway, Institute of Electrical and Electronics Engineers (IEEE): 2021, s. 1-8
- [współaut.] Pękala B, Kosior D, Dyczkowski K Application of entropy measures with uncertainty in classification methods with missing data problem W: 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Piscataway, Institute of Electrical and Electronics Engineers (IEEE): 2021, s. 1-6
- [współaut.] Dyczkowski K, Pękala B, Baczyński M [et al.] The ordering methods of interval-valued fuzzy cardinal numbers with application in an uncertain decision making W: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Institute of Electrical and Electronics Engineers (IEEE): 2020
- [współaut.] Pękala B, Bentkowska U, Rząsa W [et al.] General local properties of fuzzy relations andfuzzy multisets used to an algorithm for group decision making W: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Institute of Electrical and Electronics Engineers (IEEE): 2020
- [współaut.] Pękala B, Dyczkowski K, Piłka T New Methods for Comparing Interval-Valued Fuzzy Cardinal Numbers W: Information Processing and Management of Uncertainty in Knowledge-Based Systems : 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15-19, 2020, Proceedings, Part II / eds. Marie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat, Joao Paulo Carvalho, Anna Wilbik, Bernadette Bouchon-Meunier, Ronald R. Yager. Cham, Springer: 2020
- [współaut.] Pancerz K Pattern Recognition in Sequences Using MultistateSequence Autoencoding Neural Networks W: Proceedings of the International Conference on Information and Digital Technologies 2019, IDT 2019 : Zilina, Slovakia, 25-27 June 2019 / ed. Enrico Zio. [b.m.], Institute of Electrical and Electronics Engineers (IEEE): 2019, S. 461-466
- [współaut.] Pancerz K Petri Nets over Ontological Graphs: Conception and Application for Modelling Tasks of Robots W: Rough Sets : International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3-7, 2017, Proceedings, Part 1 / eds. Lech Polkowski, Yiyu Yao, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Ślęzak, Beata Zielosko. Cham, Springer: 2017, S. 207-214