Наредни састанак Семинара биће одржан онлајн у среду, 23. априла 2025. године, са почетком у 19 часова.
Предавач: Ľubomír Antoni, Pavol Jozef Šafárik University in Košice, Faculty of Science, Institute of Computer Science, Slovakia
Наслов предавања: ANALYSIS OF BIOMEDICAL SIGNALS BY MACHINE LEARNING METHODS
Апстракт: The analysis of biomedical signals, such as electroencephalography (EEG), electrocardiography (ECG), and phonocardiography (PCG), by machine learning methods contain valuable physiological information that can be used for disease diagnosis, patient monitoring, and treatment optimization. The PhysioNet Challenge is an annual competition organized by PhysioNet and Computing in Cardiology (CinC) that focuses on solving critical problems in biomedical signal processing and machine learning. In this contribution, we present our solutions and experiences for several years of this competition and discuss the challenges, methodologies, and insights gained from analyzing biomedical signals using machine learning techniques and their connections with Formal concept analysis.
Напомена: Регистрациона форма за учешће и линк за активно праћење предавања за регистроване кориснике (након логовања):
https://miteam.mi.sanu.ac.rs/asset/CW5nJWDSEZDj7p32p
Нерегистровани корисници могу да прате предавања на овом линку (без могућности активног учешћа):
https://miteam.mi.sanu.ac.rs/call/hR9vL94nD6QE8qQZj/xET9GcPMyR08nqH8lnS3SE7N5Vf00H7Lp9EBhsv6Lti