mgr inż. Jarosław Szkoła

Publikacje

• [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 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 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