“CLASS-ORIENTED FEATURE SELECTION TECHNOLOGIES BASED ON ARTIFICIAL INTELLIGENCE METHODS IN THE TASK OF DIFFERENTIATING RESISTANT FORMS OF TUBERCULOSIS”

Ladies and gentlemen, we invite you to continue our good tradition that existed in the department before the epidemic and war – seminars that highlight the results of scientific research of our colleagues. We propose to attend on Tuesday, 12.09.2023, at 17:00, the presentation on “Class-oriented feature selection technologies based on artificial intelligence methods in the task of differentiating resistant forms of tuberculosis” by the 4th year postgraduate student Oleksandr Matviichuk, supervised by Prof., D.Sc. Ievgen Nastenko. The goal is to receive feedback and draw preliminary conclusions regarding the possibility of defending the work under specialty 122 “Computer Science”. A link to the meeting will be sent additionally.