Category: Data Science
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🔴 talk: Shawn Blanton (CMU); Designing Secure Hardware Systems, 1pm Fri 2/7; Commons 329
Prof. Shawn Blanton of CMU talks on Designing Secure Hardware Systems, 1-2 Fri Feb 7 at UMBC, as part of the Lockheed Martin Distinguished Speaker series.
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UMBC receives NSF support to enhance data science courses, research and student experiences
Two recent NSF awards will enhance data science courses, research, and student experiences at UMBC
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JHU/APL CIRCUIT internship program information session, 3pm Fri 1/31
There will be a special information session on the JHU/APL CIRCUIT internship program from 3:00 pm to 4:30 pm on Friday, 31 January 2020 in room ITE 459.
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TALK: Computer Aided Assessment of Computed Tomography Screenings
UMBC ACM Chapter Talk Computer Aided Assessment of Pulmonary Nodule Malignancy in from Low Dose Computed Tomography Screenings Professor David Chapman, CSEE, UMBC 11:30–12:30, Friday 11 October 2019, ITE 346, UMBC We propose to develop a novel quantitative algorithm to estimate the probability of malignancy of pulmonary nodules from a time series of successive LDCT…
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Talk: Impacting healthcare through collaborative technology innovations, 1:30pm Mon 7 Oct
Prof. Mohanasankar Sivaprakasam of IIT Madra talks on Impacting healthcare through collaborative technology innovations, 1:30-3:00pm Mon Oct 7 in ITE325, UMBC
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Prof. Oates receives NSF grant to develop distributed machine learning technology
Future machine learning systems will learn from multiple datasets without requiring that they be shared or consolodated in one location. UMBC CSEE Professor Tim Oates recently received a grant from NSF, “Truly Distributed Deep Learning: Representation and Computation”, to develop new architectures for deep learning systems that are distributed, allowing greater scale and control over…
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talk: Correlation analysis with small sample sizes, 2pm Tue 6/18, UMBC
Correlation analysis with small sample sizes Peter Schreier, Univ. of Paderborn, Germany 2:00-3:00 Tuesday, 18 June 2019, ITE 325B, UMBC Most common techniques for correlation analysis (e.g., canonical correlation analysis) require sufficiently large sample support, but in many applications only a limited number of samples are available. Correlation analysis with small sample sizes poses some…
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talk: Tensor Decomposition of ND data arrays, 2pm 6/13 ITE325
Tensor Decomposition of ND data arrays Prof. David Brie, University of Lorraine 2:00pm Thursday, 13 June 2019, ITE 325B, UMBC The goal of this talk is to give an introduction to tensor decompositions for the analysis of multidimensional data. First, we recall some basic notions and operations on tensors. Then two tensor decompositions are presented:…
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talk: Security for Smart Cyber-Physical Systems, 12-1 5/3, ITE 227
UMBC Cyber Defense Lab Security for Smart Cyber-Physical Systems Prof. Anupam Joshi, UMBC 12:00–1:00pm, Friday, 3 May 2019, ITE 227 Smart Cyber-Physical Systems (CPS) are increasingly embedded in our everyday life. Security incidents involving them are often high-profile because of their ability to control critical infrastructure. Stuxnet and the Ukrainian power-grid attack are some notorious…
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talk: Data-driven Approach for Sustainable Smart Cities, 11am 5/6, ITE 459, UMBC
Information Systems Spring 2019 Distinguished Lecture on Sustainable Smart Cities A Data-driven Approach for Sustainable Smart Cities Prof. Prashant Shenoy, University of Massachusetts 11:00am Monday, 6 May 2019, ITE 459, UMBC Recent technological advances have enabled deployments of pervasive sensing and actuation in our physical world, which has led to the emergence of cyber-physical systems…