Category: Information Systems
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UMBC redesignated a National Center of Academic Excellence in Cyber Defense
UMBC redesignated a National Center of Academic Excellence in Cyber Defense UMBC has been redesignated as a National Center of Academic Excellence in Cyber Defense (CAE-CD) through the academic year 2028. The CAE-CD designation indicates that UMBC is helping reduce threats to our national infrastructure by promoting higher education and research in cyber defense and…
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talk: Ed Raff on Machine Learning for Malware: Challenges and Progress, 12-1pm ET Wed 2/17
Ed Raff gives an overview of malware detection and why it poses challenging machine learning research problems and progress we’ve made on these tasks by taking some non-standard approaches.
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ACM-IEEE Mid-Semester Celebration, 12-2 Mon. 10/21
ACM-IEEE Mid-Semester Celebration 12-2pm Monday, 21 October 2019 The UMBC ACM student chapter and IEEE student branch are back together for an event to mark and celebrate the mid-point of this fall semester. Take this opportunity to mingle, network, explore ideas, collaborate and treat yourself to a wonderful feast while you’re at it! Faculty, staff…
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talk: Unbiased Decisions with Biased Data, Nov 14
Differential Fairness for Machine Learning and Artificial Intelligence Systems: Unbiased Decisions with Biased Data Prof. James Foulds Information Systems, UMBC 5:30-7:30 14 November 2018 MD-AI Meetup, Emerging Technology Centers, Baltimore With the rising influence of machine learning algorithms on many important aspects of our daily lives, there are growing concerns that biases inherent in…
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UMBC students win ‘Opioid Epidemic Challenge Award’ by America East for designing app for teens
UMBC students win Opioid Epidemic Challenge Award at HackAE hackathon Two students in the College of Engineering and Information Technology were recognized at HackAE, a 24-hour hackathon, earlier this month for developing an innovative app to help teens struggling with opioid issues. Agatha Turyahikayo ’21, computer science, and Gabrielle Watson ’21, information systems, won…
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talk: Statistical Methods for Integration and Analysis of Opinionated Text, 4/21
Prof ChengXiang Zhai (UIUC), Statistical Methods for Integration and Analysis of Opinionated Text Data, 10:00am Thursday 21 April 2016, ITE 459, UMBC.