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SUMMARY:IC Colloquium: Data Science for Health: Challenges and Trends
DTSTART:20220923T161500
DTEND:20220923T173000
DTSTAMP:20260408T013255Z
UID:d63874f415b5f0ce5628b719ed37f2cbfc18ddadb3a853033fe959c1
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Wagner Meira Jr. - Universidade Federal de Minas Gerais\nV
 ideo of his talk\n\nAbstract\nDespite the current enthusiasm associated wi
 th the use of data mining and machine learning algorithms\, their actual u
 se is still a challenge in several application scenarios and there is a gr
 owing awareness of the need for these algorithms to be compatible with eth
 ical\, moral\, and human values. In this seminar\, we argue that employing
  these models and techniques effectively demands them to be contextualized
  to the domain\, interpretable to end users\, and automated as much as pos
 sible. We will discuss these requirements and present some recent results 
 we achieved in the scope of healthcare applications\, in particular cardio
 logy.  \n\nBio\nWagner Meira Jr. is a Professor of Computer Science at U
 niversidade Federal de Minas Gerais\, Brazil. Wagner holds a Ph.D. in Comp
 uter Science from the University of Rochester (1997) and is currently a re
 search fellow at CNPq\, and a principal researcher at the Brazilian Nation
 al Center for Innovation in Artificial Intelligence for Health. He has pub
 lished over three hundred papers in journals and conferences. He is co-aut
 hor of the books Data Mining and Analysis - Fundamental Concepts and Algor
 ithms (2014) and Data Mining and Machine Learning - Fundamental Concepts a
 nd Algorithms (2020)\, published by Cambridge University Press. His resear
 ch interests are in parallel and distributed systems\, in particular their
  scalability and efficiency\, ranging from massively parallel systems to I
 nternet-based platforms\, and in data mining algorithms\, their paralleliz
 ation\, and application in areas such as data science\, healthcare\, cyber
 security\, web\, and social networks.\n\n 
LOCATION:BC 410 https://plan.epfl.ch/?room==BC%20410 https://epfl.zoom.us/
 j/65431979147?pwd=TFdZOGFxL1NQaXQ3UjZWL0EwdzNJZz09
STATUS:CONFIRMED
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