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Yaser Keneshloo
Yaser Keneshloo
Verified email at vt.edu
Title
Cited by
Cited by
Year
Deep Reinforcement Learning For Sequence to Sequence Models
Y Keneshloo, T Shi, N Ramakrishnan, CK Reddy
IEEE transactions on neural networks and learning systems, 2019
1872019
Neural abstractive text summarization with sequence-to-sequence models
T Shi, Y Keneshloo, N Ramakrishnan, CK Reddy
ACM Transactions on Data Science 2 (1), 1-37, 2021
1422021
Natural language processing advancements by deep learning: A survey
A Torfi, RA Shirvani, Y Keneshloo, N Tavaf, EA Fox
arXiv preprint arXiv:2003.01200, 2020
1402020
Predicting the Popularity of News Articles
Y Keneshloo, S Wang, EHS Han, N Ramakrishnan
SIAM International Conference on Data Mining, 2016
732016
Detecting and forecasting domestic political crises: A graph-based approach
Y Keneshloo, J Cadena, G Korkmaz, N Ramakrishnan
Proceedings of the 2014 ACM conference on Web science, 192-196, 2014
472014
Deep transfer reinforcement learning for text summarization
Y Keneshloo, N Ramakrishnan, CK Reddy
Proceedings of the 2019 SIAM International Conference on Data Mining, 675-683, 2019
342019
Natural language processing advancements by deep learning: a survey. 2020
A Torfi, RA Shirvani, Y Keneshloo, N Tavaf, EA Fox
arXiv preprint arXiv:2003.01200, 2003
132003
Predicting the Shape and Peak Time of News Article Views
Y Keneshloo, S Wang, EHS Han, N Ramakrishnan
IEEE International Conference on Big Data (Big Data), 2016
102016
Natural language processing advancements by deep learning: A survey. arXiv 2020
A Torfi, RA Shirvani, Y Keneshloo, N Tavaf, EA Fox
arXiv preprint arXiv:2003.01200, 2003
102003
Neural abstractive text summarization with sequence-to-sequence models: a survey
T Shi, Y Keneshloo, N Ramakrishnan, CK Reddy
arXiv preprint arXiv:1812.02303, 2020
72020
Neural abstractive text summarization with sequence-to-sequence models (2018)
T Shi, Y Keneshloo, N Ramakrishnan, CK Reddy
arXiv preprint arXiv:1812.02303, 1812
51812
A relative feature selection algorithm for graph classification
Y Keneshloo, S Yazdani
Advances in Databases and Information Systems, 137-148, 2013
42013
Addressing Challenges of Modern News Agencies via Predictive Modeling, Deep Learning, and Transfer Learning
Y Keneshloo
Virginia Tech, 2019
12019
Techniques for prediction of popularity of media
S Wang, EH Han, Y Keneshloo, N Ramakrishnan
US Patent 10,862,953, 2020
2020
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