Category: Data Science
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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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Alumni startup at bwtech@UMBC earns unique award for AI work with UMBC research team
Alumni startup RedShred earns unique award for AI work with UMBC research team The artificial intelligence startup RedShred—cofounded by two UMBC alumni and housed in the bwtech@UMBC incubator—has received a rare Phase II Small Business Innovation Research Award from the National Science Foundation to expand in a new direction, in collaboration with UMBC faculty and…
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Professional Graduate Programs Open House, Sat. 10/20 (CYBR, DATA, …)
Professional Graduate Programs Open House, Sat. 10/20 The Fall Open House for UMBC’s Professional Programs (Main Campus offerings) takes place on Saturday, October 20 in the first floor of PAHB from 9:30-11:30am. Students interested in exploring and/or pursuing these graduate programs (degrees and/or certificates) or just want to learn more about these fields are encouraged…
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MD-AI Meetup holds 1st event at UMBC 6-8pm Wed 10/3, 7th floor library
MD-AI Meetup holds 1st event at UMBC 6-8pm Wed 10/3, 7th floor library A new Maryland-based meetup interest group has been established for Artificial Intelligence (MD-AI Meetup) and will have its first meeting at UMBC this coming Wednesday (Oct 3) from 6:00-8:00pm in the 7th floor of the library. The first meeting will feature…
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Machine learning and AI for cybersecurity: a technical chat with DISA
The UMBC Cyber Defense Lab Machine Learning and Artificial Intelligence: A Technical Chat with the Defense Information Systems Agency James Curry Lead Engineer–DoD Cyber Security Range Defense Information Systems Agency (DISA) 12:00–1:00pm Friday, 28 September 2018, ITE 227, UMBC A broad reaching brief on the scope and scale of the DISA Mission, followed by…
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NSA highlights strong partnership with UMBC through Featured School campaign
NSA highlights strong partnership with UMBC in Featured School campaign Over the past two decades, UMBC and the National Security Agency (NSA) have developed a strong relationship, which has led to research, internship, and career opportunities for faculty, students, and alumni. UMBC is the first institution to be highlighted in NSA’s Featured School Series,…
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talk: Methods and Models: Data Science for Campus Parking, 11:15am Mon 8/13
Methods and Models: Data Science for Campus Parking Professor John Hoag Associate Professor, Ohio University 11:15-12:15pm Monday, 13 August 2018 in ITE 325B How can data science improve the parking experience for students, faculty, and staff? Or are there other motives at work? This talk will define and approach this perennial campus problem from perspectives…
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talk: Big Data, Security and Privacy, 11am Wed 5/16
Big Data, Security and Privacy Prof. Bhavani Thuraisingham, University of Texas at Dallas 11:00-12:00 Wednesday, 16 May 2018, ITE 459, UMBC The collection, storage, manipulation and retention of massive amounts of data have resulted in serious security and privacy considerations. Various regulations are being proposed to handle big data so that the privacy of the…
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2018 Mid-Atlantic Student Colloquium on Speech, Language and Learning
2018 Mid-Atlantic Student Colloquium on Speech, Language and Learning The 2018 Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL) is a student-run, one-day event on speech, language & machine learning research to be held at the University of Maryland, Baltimore County (UMBC) from 10:00am to 6:00pm on Saturday May 12. There is no registration charge…
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🗣 talk: Classifying Malware using Data Compression, 12-1 Fri 4/20, ITE229
The UMBC Cyber Defense Lab presents Classifying Malware using Data Compression Charles Nicholas, UMBC 12:00–1:00pm Friday, 20 April 2018, ITE 229 Comparing large binary objects can be tricky and expensive. We describe a method for comparing such strings, using ideas form data compression, that is both fast and effective. We present results from experiments applying…