Category: Data Science
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talk: A Practitioner’s Introduction to Deep Learning, 1pm Fri 11/17
ACM Tech Talk Series A Practitioner’s Introduction to Deep Learning Ashwin Kumar Ganesan, PhD student 1:00-2:00pm Friday, 17 November 2017, ITE325, UMBC In recent years, Deep Neural Networks have been highly successful at performing a number of tasks in computer vision, natural language processing and artificial intelligence in general. The remarkable performance gains have led…
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talk: Ferraro on Understanding What We Read and Share, 1pm Fri 11/10, ITE325, UMBC
ACM Faculty Talk Series Understanding What We Read and Share: Event Processing from Text and Images Dr. Frank Ferraro, Assistant Professor, CSEE 1:00-2:00pm Friday, 10 November 2017, ITE 325, UMBC A goal of natural language processing (NLP) is to design machines with human-like communication and language understanding skills. NLP systems able to represent knowledge…
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talk: DOE Energy Exascale Earth System Model, 2:30 Tue 10/31, ITE325
CHMPR Distinguished Lecture Series Energy Exascale Earth System Model Dr. Mark Taylor, E3SM Chief Computational Scientist, Sandia National Laboratories 2:30pm Tuesday, 31 October 2017, ITE 325, UMBC Dr. Taylor will present an overview of the DOE Energy Exascale Earth System Model (E3SM), including Sandia’s role in numerical algorithms, parallel scalability, and computational performance. E3SM…
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Open House: UMBC Graduate Cybersecurity and Data Science Programs, 6-7:30 Wed. 10/25
Open House: UMBC Graduate Professional Programs The Fall Open House for UMBC Professional Programs, including the graduate programs on Cybersecurity and Data Science, takes place this coming Wednesday evening, 25 October 2017, at BWTECH South (map) from 6:00-7:30pm. Students interested in pursuing such programs (MPS degrees and/or certificates) or just to learn more about the…
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Talk: Role of the Defense Information Systems Agency, 12p Fri 9/22
UMBC Cyber Defense Lab Tech Talk with the Defense Information Systems Agency (DISA) James Curry Lead Engineer – Cyber Security Range IDC – Cyber Workforce Development Division Defense Information Systems Agency (DISA) 12:00–1:00pm, Friday, 22 September 2017, ITE 228, UMBC A broad reaching brief on some of the technical aspects of DISA’s role as a…
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UMBC researchers develop AI system to design clothing for your personal fashion style
AI system designs clothing for your personal fashion style Everyone knows that more and more data is being collected about our everyday activities, like where we go online and in the physical world. Much of that data is being used for personalization. Recent UMBC CSEE Masters student Prutha Date explored a novel kind of…
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Data Science MD @ UMBC: Streaming with Heron on Mesos/Aurora Stack, Wed 8/30
This month’s meeting of the Data Science MD Meetup will be held at UMBC’s Technology Center at 6:30-8:45pm on Wednesday, 30 August 2017. The meeting will provide an overview of Heron, a realtime, distributed, fault-tolerant stream processing engine developed by Twitter (and transitioning to Apache) that is fully compatible with Apache Storm. At the meeting,…
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PhD Defense: Bryan Wilkinson, Identifying and Ordering Scalar Adjectives using Lexical Substitution
Ph.D. Dissertation Defense Identifying and Ordering Scalar Adjectives using Lexical Substitution Bryan Wilkinson 1:00pm Friday, 18 August 2017, ITE 325b, UMBC Lexical semantics provides many important resources in natural language processing, despite the recent preferences for distributional methods. In this dissertation we investigate an under-represented lexical relationship, that of scalarity. We define sclarity as it…
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PhD Defense: The Lightweight Virtual File System
Dissertation Defense The Lightweight Virtual File System Navid Golpayegani 10:00-12:00 Thursday, 20 July 2017, ITE 325, UMBC A data center today is responsible for safely managing big data volumes and balancing the complex needs between data producers and consumers. This balance often involves reconciling the needs of easy access and rapid retrieval in ways…
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PhD defense: Deep Representation of Lyrical Style and Semantics for Music Recommendation
Dissertation Defense Deep Representation of Lyrical Style and Semantics for Music Recommendation Abhay L. Kashyap 11:00-1:00 Thursday, 20 July 2017, ITE 346 In the age of music streaming, the need for effective recommendations is important for music discovery and a personalized user experience. Collaborative filtering based recommenders suffer from popularity bias and cold-start which is…