Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
A4: Deep Learning Applications
Wednesday, 11/Sep/2019:
11:30 - 12:30

Session Chair: Ian Foster
Location: Hall S4
70 persons, computer, data projector

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Deep Generative Model driven Protein Folding Simulations

Heng Ma1, Debsindhu Bhowmik1, Hyungro Lee2, Matteo Turilli2, Michael Young1, Shantenu Jha2,3, Arvind Ramanathan4

1Computational Science and Engineering, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA; 2RADICAL, ECE, Rutgers University, Piscataway, NJ 08854, USA; 3Brookhaven National Laboratory, Upton, NY 11973, USA; 4Data Science and Learning Division, Argonne National Laboratory, Lemont , IL 60439, USA

First experiences on applying deep learning techniques to prostate cancer detection

Eduardo José Gómez-Hernández, José Manuel García

University of Murcia, Spain

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