Keyword Search
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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: deep learning returned 26 record(s)
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Sunday, 07/29/2018
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Deep Learning for Statistical Inference in Infectious Disease Systems
Rob Deardon, University of Calgary; Carolyn Augusta, University of Guelph; Graham Taylor, University of Guelph
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A Deep Learning Approach to the Estimation of Bias and Variance in HARDI
Allison Hainline, Vanderbilt University; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
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A Four-Part Introduction to Deep Learning
Christopher Manning, Stanford University; Ruslan Salakhutdinov, Carnegie Mellon University
2:05 PM
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A Deep Learning Approach to the Estimation of Bias and Variance in HARDI
Allison Hainline, Vanderbilt University; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
3:00 PM
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Monday, 07/30/2018
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Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
Eric Suess, CSU East Bay
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Predicting Hospital Readmission for Diabetes Patients by Classical and Machine Learning Approaches
Gabrielle LaRosa, University of Pittsburgh; Chathurangi Pathiravsan, Southern Illinois University Carbondale; Rajapaksha Wasala M Anusha Madushani, University of Florida
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A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger, Carnegie Mellon Univ; Purvasha Chakravarti, Carnegie Mellon University; Jining Qin, Carnegie Mellon University
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Multiple Imputation Using Denoising Autoencoders
Lovedeep Gondara
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Deep Learning on Small Data - Experiences in Transfer Learning for Healthcare
Dennis Murphree
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Deep Learning on Small Data - Experiences in Transfer Learning for Healthcare
Dennis Murphree
8:40 AM
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Building a Genomic Signature via Transfer Learning on Both Labelled and Unlabelled High-Dimensional Data: a Case Study in Predicting Prostate Cancer Metastasis
Yang Liu, GenomeDx Biosciences; Hossein Sharifi-Noghabi, Simon Fraser University; Nicholas Erho, GenomeDX Biosciences; Raunak Shrestha, Vancouver Prostate Centre; Mohammed Alshalalfa, GenomeDX Biosciences; Elai Davicioni, GenomeDX Biosciences; Colin Collins, Vancouver Prostate Centre; Martin Ester, Simon Fraser University
9:05 AM
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Multiple Imputation Using Denoising Autoencoders
Lovedeep Gondara
9:20 AM
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Edward: a Library for Probabilistic Machine Learning and Statistics
Dustin Tran, Columbia University; David Blei, Columbia University
11:35 AM
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Deep Feature Selection and Causal Inference for Alzheimer's Disease
Yuanyuan Liu, The University of Texas Health Science Center at Houston; Qiyang Ge, Fudan University; Nan Lin, The University of Texas Health Science Center at Houston; Wenjia Peng, Bengbu Medical College; Rong Jiao, The University of Texas Health Science Center at Houston; Xuesen Wu, Bengbu Medical College; Momiao Xiong, The University of Texas Health Science Center at Houston
11:50 AM
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Wednesday, 08/01/2018
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Interpretable Analysis of Team Performance in Soccer Using Tracking Data: a Hybrid of Supervised and Unsupervised Methods.
Paul David Power, STATS
8:35 AM
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Deep Learning in Medical Imaging: Evaluation and Study Design
Robyn Ball, Stanford University; David Larson, Stanford University; Pranav Rajpurkar, Stanford University; Matthew Chen, Nines AI; Jeremy Irvin, Stanford University; Jaden Yang, Stanford University; Matthew P Lungren, Stanford University
9:20 AM
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Heterogeneous Treatment Effect Estimation through Deep Learning
Ran Chen, Wharton; Hanzhong Liu, Center for Statistical Science, Tsinghua University
9:35 AM
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A Simulation Study on the Performance of Deep Learning Methods for Multi-Category Classification
Dawei Liu, Biogen; Ih Chang, Biogen
9:50 AM
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Deep Learning for Data Imputation and Calibration Weighting
Yijun Wei, NISS; Luca Sartore, National Institute of Statistical Sciences; Jake Abernethy, National Agricultural Statistics Service, United States Department of Agriculture; Darcy Miller, National Agricultural Statistics Service; Kelly Toppin, National Agricultural Statistics Service; Clifford Spiegelman, Texas A&M University; Michael Hyman, USDA-NASS
11:15 AM
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Deep Learning in Quantitative Imaging Analysis
Hongtu Zhu, University of Texas M.D. Anderson
2:05 PM
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Think Deeper with Deep Learning
Saratendu Sethi, SAS Institute Inc.
2:55 PM
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Weight Normalized Deep Neural Networks
Xiao Wang , Purdue University; Yixi Xu, Purdue University
3:20 PM
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