Associate Prof. Apostolos Papadopoulos compiled the course "Knowledge Extraction and Analytics - Threat Detection in Healthcare Cybersecurity", which covers fundamental algorithmic techniques for knowledge discovery focusing on anomaly detection. In particular, the course studies techniques to detect threats from stream-based data. First, the basic concepts and tools used for anomaly
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Prof. Athena Vakali, director of Datalab, will present a lecture on the subject of "Bot Detection in Online Social Networks" under the Data Science Lecture Series, Fall semester 2021-22 organized by the Data Science laboratory of the Department of Informatics, ICT School, University of Piraeus. Prof. Vakali will present how
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"Data and Web Science" MSc Program of Dept. of Informatics AUTh, would like to invite you to an exciting talk/lecture part of the MSc program Lecture Series.
DEEPMIND Experts presentations: Exciting research work & career inspiration
When: Monday, Jan 18, 2021 17.30
DWS Master Program announcement link: https://dws.csd.auth.gr/news/talks-by-deepmind-experts/
Google Meet Link: https://meet.google.com/uys-jkwm-szq
Download the Program/Poster DEEPMIND's
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Abstract: Given a node-attributed network of Twitter users, can we capture their posting behavior over time and identify patterns that could probably describe, model or predict their activity? Based on the assumption that such posts are topic-specific, can we identify temporal connectivity patterns that emerge from the use of specific
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Abstract: Aggression in online social networks has been studied mostly from the perspective of machine learning which detects such behavior in a static context. However, the way aggression diffuses in the network has received little attention as it embeds modeling challenges. In fact, modeling how aggression propagates from one user
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Abstract: Activity of users in Online Social Networks (OSN) leaves traces that reflect their personality characteristics. The study of these traces is important for a number of fields, such as a social science, psychology, OSN, marketing, and others. Despite a marked increase on research in personality prediction on the basis
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Abstract: In today’s connected society, many people rely on mHealth and self-tracking (ST) technology to help them break their sedentary lifestyle and stay fit. However, there is scarce evidence of such technological interventions’ effectiveness, and there is no standardized method to evaluate their short- and long-term impact on people’s physical
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