報告題目：Applications of Deep Learning in Image Analyses
報告時間：2019年1月4日上午9:30
報告地點：吉大計算機大樓A521
報告人：許東 教授
報告人簡介：
Dong Xu is Shumaker Endowed Professor in Department of Electrical Engineering and Computer Science, Director of Information Technology Program, with appointments in the Christopher S. Bond Life Sciences Center and the Informatics Institute at the University of Missouri-Columbia. He obtained his PhD from the University of Illinois, Urbana-Champaign in 1995 and did two years of postdoctoral work at the US National Cancer Institute. He was a Staff Scientist at Oak Ridge National Laboratory until 2003 before joining the University of Missouri, where he served as Department Chair of Computer Science during 2007-2016. His research is in computational biology and bioinformatics, including machine-learning application in bioinformatics, protein structure prediction, post-translational modification prediction, high-throughput biological data analyses, in silico studies of plants, microbes and cancers, biological information systems, and mobile App development for healthcare. He has published more than 300 papers. He was elected to the rank of American Association for the Advancement of Science (AAAS) Fellow in 2015.
報告内容簡介：
We have applied deep learning in several image analysis and prediction problems, including environmental pollution assessment, tongue image analysis for health assessment, and iris recognition. These applications integrated deep learning methods, such as Convolutional Neural Network (CNN) and Capsule Network with other artificial intelligence approaches, such as fuzzy methods and attention mechanisms . Some of these applications represent novel formulations of the problems, while others significantly improved the performance over the previous methods. These studies also addressed some important deep-learning issues, such as handling small data, and making the models transparent and explainable.
主辦單位：
伟德国际BETVlCTOR
伟德国际BETVlCTOR軟件學院
伟德国际BETVlCTOR計算機科學技術研究所
符号計算與知識工程教育部重點實驗室
伟德国际BETVlCTOR國家級計算機實驗教學示範中心
