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X-ORIGINAL-URL:https://sal.cs.unibuc.ro
X-WR-CALDESC:Events for SECURITY &amp; APPLIED LOGIC
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TZID:Europe/Bucharest
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DTSTART:20180325T010000
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DTSTART:20181028T010000
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DTSTART:20190331T010000
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DTSTART:20191027T010000
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DTSTART:20200329T010000
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DTSTART:20201025T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Bucharest:20190725T100000
DTEND;TZID=Europe/Bucharest:20190725T233000
DTSTAMP:20260404T105305
CREATED:20190723T083825Z
LAST-MODIFIED:20190723T083855Z
UID:433-1564048800-1564097400@sal.cs.unibuc.ro
SUMMARY:Anomaly Detection Reading Group: Deep OC-SVM
DESCRIPTION:Speaker:  Andrei Pătrașcu (University of Bucharest) \n\nAbstract: Recent empirical results confirm that one-class (OC) classification methods remain among the most important learning strategies for anomaly detection. In this seminar\, we will technically describe in detail multiple basic OC schemes such as OC-SVM and SVDD and their deep variants\, in order to identify room of improvements or generalization directions towards the graph anomaly detection context.
URL:https://sal.cs.unibuc.ro/event/anomaly-detection-reading-group-deep-oc-svm/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar,Seminar
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