Data Science Talk

Vassilis Tsotras (organizer)

Multidisciplinary Research Building (MRB) Seminar Room

Sponsored by the Data Science Center, the purpose of the Data Science Seminar is to foster collaborations between the core Data Science faculty (CSE/ECE/STAT) and faculty from other sciences that face Data Science problems in their research. After the talk, there will be time for discussions.The talk will be given by Prof. Jia Chen, Department of Electrical and Computer Engineering, UCRTITLE:Multiview learning for knowledge discoveryABSTRACT:Extracting hidden patterns of multiview data containing heterogeneous feature representations is attracting more and more attention in various scientific fields such as image processing and natural language processing. In this talk we will present a comprehensive unsupervised framework that leverages existing and novel multiview learning models, towards obtaining a single node embedding from a collection of node embeddings, combining the best of all worlds. Furthermore, we will introduce two new approaches for discriminative knowledge discovery of multiple datasets and demonstrate their effectiveness on several applications such as extracting the symptoms mostly related to COVID-19 with respect to Flu using Google Trends data.*** Pizza and refreshments will be provided! ***

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Data Science Talk

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Data Science Talk

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