You are cordially invited to the Machine Learning Seminar organized by the Department of Mathematics.<\/p>\n
Speaker: Baris Co\u015fkunuzer (University of Texas at Dallas)<\/p>\n
\u201cTopological Machine Learning and Applications in Drug Discovery and Cancer Detection\u201d<\/p>\n
Abstract: In this talk, we\u2019ll introduce fundamental techniques in topological machine learning and showcase their application in two specific contexts. The first application is on computer-aided drug discovery, utilizing Multiparameter Persistence for graph representation learning. Our second application revolves around cancer detection from histopathological images via cubical persistence. We apply our methodologies across five distinct cancer types, demonstrating superior performance compared to state-of-the-art deep learning methods. The talk is accessible to graduate students in math, science, and engineering, assuming no prior background in topology or machine learning.<\/p>\n
Date: Monday, December 11, 2023
\nTime: 16:30
\nPlace: SA141 \u2013 Mathematics Seminar Room + ZOOM<\/p>\n
To request the event link, please send a message to\u00a0cihan.okay@bilkent.edu.tr<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" You are cordially invited to the Machine Learning Seminar organized by the Department of Mathematics. Speaker: Baris Co\u015fkunuzer (University of Texas at Dallas) \u201cTopological Machine Learning and Applications in Drug Discovery and Cancer Detection\u201d Abstract: In this talk, we\u2019ll introduce fundamental techniques in topological machine learning and showcase their application [\u2026] <\/p>\n