Yaser Keneshloo
Yaser Keneshloo is a DAC Ph.D. student in the Department of Computer Science and his advisor is Naren Ramakrishnan.
Keneshloo's research interest lies in forecasting domestic political crises in countries of interest, a useful tool for social scientists and policy makers. A wealth of event data is now available for historical as well as prospective analysis. Using the publicly available GDELT dataset, his research illustrates the use of frequent subgraph mining to identify signatures preceding domestic political crises and the predictive utility of these signatures through both qualitative and quantitative results.
Publications
-
General ItemNatural Language Processing Advancements By Deep Learning: A Survey Date: Feb 26, 2021
-
General ItemDeep Reinforcement Learning for Sequence-to-Sequence Models Date: Aug 14, 2019
-
General ItemNeural Abstractive Text Summarization with Sequence-to-Sequence Models Date: Dec 04, 2018
Page 1 of 2 | 6 Results
Projects
In the News
-
Article ItemDAC Student Spotlight: Yaser Keneshloo , article Date: Aug 27, 2018
-
Article Item
-
Article ItemDAC's collaboration with the Washington Post gets noticed , article Date: Feb 24, 2016