Keynote Speech
Title: "On use of Sentiment Analysis in Group Decision Making"
By: Prof.Dr. Enrique Herrera Viedma
Dept. Computer Science and Artificial Intelligence
E.T.S. de Ingenieria Informatica y de Telecomunicacion
Universidad de Granada. 18014, Granada, Spain
Abstract:
User-computer communication is a complicated problem. Computers are used to deal with numerical and precise data while users are more used to
provide information using concepts and free texts. Reducing this communication gap is a quite critical task. In order to extract information from free opinion texts, sentiment analysis procedures can be used. Thanks to them, it is possible to analyze and look for specific words that help the computational system to understand how the user feels about the dealt topic. Therefore, sentiment analysis procedures have become an indispensable mean when dealing with user subjective opinions. The objective of this talk is to investigate the use of sentiment analysis for solving the Group Decision Making problem based on user preferences, and present new decision making models based on sentiment analysis.
Biography:
Prof. Enrique Herrera-Viedma received the M.Sc. and Ph.D. degrees in Computer Science from the University of Granada, Granada, Spain, in 1993 and 1996, respectively. He is currently a Professor of Computer Science with the Department of Computer Science and Artificial Intelligence, University of Granada, and also the new Vice-President for Research and Knowledge Transfer. His current research interests include intelligent decision making, group decision making, consensus models, fuzzy linguistic modeling, aggregation of information, information retrieval, bibliometric, digital libraries, web quality evaluation, recommender systems, and social media. His h-index is 85 according to Web of Science and 93 according to Google Scholar
Dr. Herrera-Viedma is an Associate Editor of several core international journals indexed in Journal Citation Reports such as the IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Trans. On Fuzzy Systems, Knowledge Based Systems, etc. From 2014 he is member of the government of the IEEE SMC Society. He is distinguished as Highly Cited Researcher by Clarivate Analytics in both scientific fields, Engineering and Computer Science (in 2014, 2015, 2016, 2017, 2018 and 2019), therefore, being considered one of the world’s most influential scientific researchers. Currently he is the Vice President for Publications in the IEEE System Man and Cybernetics Society.
Title: Joint Optimization of Depth and Ego-Motion for Visual SLAM
By: Prof. Dr. Zhijun Fang
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, 201620, Shanghai, China
Abstract:
SLAM (Simultaneous Localization and Mapping) is a key technology for solving robot vision. It is considered by many scholars to be the key to realizing fully automatic robots. Visual SLAM can accomplish tasks such as identifying obstacles, avoiding and planning routes. Therefore, with the development of SLAM and the improvement of urban internet of things and intelligent systems, unmanned driving and drones are the trend of the times. At present, the mainstream methods of SLAM have problems such as sparse 3D reconstruction results and insufficient feature utilization. I will discuss these shortcomings and provide a new learning model. In terms of SLAM's visual odometer, we use depth estimation as the image reconstruction problem in training, and add perceptual loss, so that the model can better estimate the detail and edge information in the depth map; In the next step, according to the geometric relationship between the pose and the depth map, we jointly optimized the DVO in the temporal domain and binocular vision in the spatial domain using adversarial learning to obtain accurate depth maps and camera ego-motion. Finally, combining depth estimation and path planning, as well as 3D dynamic target detection, to achieve robot target tracking and autonomous movement.
Biography:
Professor Zhijun Fang is Dean of School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Dean of Institute of Artificial Intelligence Industry, Head of International Joint Laboratory of Intelligent Perception and Control. He obtained PhD in Shanghai Jiaotong University and was visiting scholar in University of Washington. He is PhD Supervisor and Senior Member of China Computer Federation, Chinese Association for Artificial Intelligence, IEEE and ACM, Member of Multimedia Technology Committee, China Computer Federation, Member of the Intelligent Service Committee, Chinese Association for Artificial Intelligence. He is also Vice Chairman of National University Innovation Alliance of Artificial Intelligence and Big Data.