mgr inż. Dorota Gil
- Jednostka:
Instytut Informatyki
- Budynek: A0
- Pokój: B1 338
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Nr telefonu:
17 851 85 85
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Email:
[email protected]
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ORCID:
0000-0001-6663-7571
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Konsultacje dla studentów:
Środa 13:00 - 14:30
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[współaut.] Pękala B, Szkoła J, Grochowalski P [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
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[współaut.] Dyczkowski K, Grochowalski P, Kosior D [et al.] Python library for interval-valued fuzzy inference. - SoftwareX, 2024, Vol. 26
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[współaut.] Mroczek T, Pękala B Fuzzy and rough approach to the problem of missing data in fall detection system. - Fuzzy Sets and Systems, 2024, Vol. 480
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[współaut.] Pękala B The Hybrid Method of Inference System Based on Experts' Rules and Machine Learning with an Uncertainty Aspect 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: 2024, S. 289-300
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[współaut.] Pękala B, Grochowalski P, Kosior D [et al.] Applications of IFIS python library in interval-valued fuzzy inference problems 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. 1-9
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[współaut.] Pękala B, Mroczek T, Kępski M Application of Fuzzy and Rough Logic to Posture Recognition in Fall Detection System. - Sensors, 2022, Vol. 22, iss. 4
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[współaut.] Pękala B, Drygaś P, Knap M [et al.] Preference and weak interval-valued operator in decision making problem W: 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Piscataway, Institute of Electrical and Electronics Engineers (IEEE): 2021, s. 1-7
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[współaut.] Grochowina M, Leniowska L Detecting of the rolling bearing state based on acoustic signal and the k-NN classifier W: Signal processing : algorithms, architectures, arrangements, and applications : SPA 2019, Poznan, 18th-20th September 2019. Conference proceedings / Poznan University of Technology. Faculty of Computing ; Institute of Automation and Robotics ; Division of Signal Processing and Electronic Systems. [Piscataway], Institute of Electrical and Electronics Engineers (IEEE): 2019, S. 246-249