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SUMMARY:Baris Coskunuzer (UT Dallas)
DTSTART:20250530T113000Z
DTEND:20250530T123000Z
DTSTAMP:20260422T140108Z
UID:BilTop/116
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BilTop/116/"
 >Topological Machine Learning</a>\nby Baris Coskunuzer (UT Dallas) as part
  of Bilkent Topology Seminar\n\nLecture held in SA 141.\n\nAbstract\nIn th
 is talk\, we will explore key techniques in topological machine learning a
 nd highlight their applications in two distinct areas. First\, we will dis
 cuss computer-aided drug discovery\, where Multiparameter Persistence is l
 everaged for graph representation learning. Second\, we will examine cance
 r detection from histopathological images using cubical persistence. Our a
 pproach is applied to five different cancer types\, achieving superior per
 formance compared to state-of-the-art deep learning methods. The talk is d
 esigned to be accessible for advanced undergraduate students in mathematic
 s\, science\, and engineering\, requiring no prior knowledge of topology o
 r machine learning.\n
LOCATION:https://researchseminars.org/talk/BilTop/116/
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