国际SCI期刊KBS主编Hamido Fujita教授学术报告通知

来源:信息科学与技术学院  作者:李天瑞  日期:2018-03-18  点击数:633

西南交通大学

“创源”大讲堂研究生学术讲座

报告题目:Challenges on Data Analytics for Risk Predictions based on Deep Ensemble Learning

报告人:Hamido Fujita教授(国际 SCI 期刊 KBS 主编,日本岩手县立大学)

报告时间:2018年3月26日(星期一)下午16:00

报告地点:西南交通大学犀浦校区 9322#

主持人:李天瑞 教授

讲座内容简介:Discovering patterns from big data attracts a lot of attention due to its importance in discovering accurate patterns and features that are used in predictions of decision making. The challenges in big data analytics are the high dimensionality and complexity in data representation analytics especially for on-line feature selection. Granular computing and feature selection on data streams are among the challenge to deal with big data analytics that is used for decision making. We will discuss these challenges in this talk and provide new projection on ensemble deep learning techniques for on-line health care risk prediction. Different types of data (time series, linguistic values, interval data, etc.) impose some difficulties to data analytics due to preprocessing and normalization processes which are expensive and difficult when data sets are raw, or imbalanced. In this talk, I will present the current state of art and focus it on health care risk analysis applications with examples from our experiments.

主讲人简介:

Hamido Fujita is a professor at Iwate Prefectural University (IPU), Iwate, Japan, as a director of Intelligent Software Systems. He is the Editor-in-Chief of Knowledge-Based Systems, Elsevier (IF: 4.104). He received Doctor Honoris Causa from O'buda University in 2013, and a title of Honorary Professor from O'buda University, Budapest, Hungary in 2011. He received honorary scholar from University of Technology Sydney, Australia in 2012. He is also adjunct professor of Stockholm University, Sweden, University of Technology Sydney, National Taiwan Ocean University and others. He has supervised PhD students jointly with University of Laval, Quebec, Canada; University of Technology, Sydney, Australia; University of Paris 1 Pantheon-Sorbonne, France and University of Genoa, Italy. He headed projects including Intelligent HCI, a project related to Mental Cloning as an intelligent user interface between human user and computers and SCOPE project on Virtual Doctor Systems for medical applications. His research interest is subjective computational intelligence in decision making.

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主办:研究生院

承办:信息科学与技术学院