Recent Developments and Analysis of Deep Learning Methods

Mon, Aug 7, 10:30 AM

Jinsong ChenChair

Section on Statistical Learning and Data Science

7 Presentations

Time Series Forecasting using Discrete Wavelet Decomposition and Deep Neural Networks

10:35 AM - 10:50 AM

Simachew Ashebir (North Carolina A&T State University)

Co-authors: Seong-Tae Kim (NC A&T State University), Yufeng Liu (University of North Carolina at Chapel Hill), Yongli Zhang (Lyft)

Deep JIVE: A Deep Learning Method for Joint & Individual Variation Explained with Feature Selection

10:50 AM - 11:05 AM

Sandra Safo (University of Minnesota)

Co-authors: Hengkang Wang, Han Lu (Division of Biostatistics, University of Minnesota), Ju Sun (Department of Computer Science and Engineering, University of Minnesota)

A New Paradigm of Generative Adversarial Networks

11:05 AM - 11:20 AM

Sehwan Kim

Co-authors: Qifan Song, Faming Liang (Purdue University)

Preference Modeling with Multiple Network Views based on Graph Neural Networks

11:20 AM - 11:35 AM

Yipeng Zhuang

Co-authors: Philip Yu (The Education University of Hong Kong), Chenlu Wang (the Education University of Hong Kong)

Anomaly Detection on Sparse Data with Autoencoders

11:35 AM - 11:50 AM

Catherine Acton (Deloitte Consulting)

Co-authors: Danielle Gewurz (Deloitte Consulting), Evan Schulz, Adnan Sheikh (Deloitte Consulting), Jason Bono (Deloitte Consulting), Leo Corman (Deloitte Consulting), Chris Walsh (Deloitte Consulting), Lauren Moy (Deloitte Consulting), William Roberts

A new delta segmentation strategy for tumor segmentation in head & neck cancer treatment

11:50 AM - 12:05 PM

Kazi Md Farhad Mahmud

Co-authors: Zhiguo Zhou (University of Kansas Medical Center)

Density-Weighted Deep One-class Classification Algorithm

12:05 PM - 12:20 PM

DoSik Yoon

Co-authors: Jaehong Yu

Session participants

Cheryl Brooks (AT&T Data Science and AI Research)

Participant