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Recursive deep models for semantic compositionality over a sentiment treebank R Socher, A Perelygin, J Wu, J Chuang, CD Manning, AY Ng, C Potts Proceedings of the 2013 conference on empirical methods in natural language …, 2013 | 8868 | 2013 |
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Algorithms for inverse reinforcement learning. AY Ng, S Russell Icml 1 (2), 2, 2000 | 3950 | 2000 |
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Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations H Lee, R Grosse, R Ranganath, AY Ng Proceedings of the 26th annual international conference on machine learning …, 2009 | 3437 | 2009 |
Dates and times made easy with lubridate G Grolemund, H Wickham Journal of statistical software 40, 1-25, 2011 | 1514 | 2011 |
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Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang, H Mehta, T Duan, D Ding, ... PLoS medicine 15 (11), e1002686, 2018 | 1087 | 2018 |
Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research R Agarwal, V Dhar Information systems research 25 (3), 443-448, 2014 | 993 | 2014 |
Does chatter matter? The impact of user-generated content on music sales V Dhar, EA Chang Journal of Interactive marketing 23 (4), 300-307, 2009 | 786 | 2009 |
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Intelligent decision support methods: The science of knowledge work V Dhar, R Stein Prentice-Hall, Inc., 1997 | 359 | 1997 |
Seven methods for transforming corporate data into business intelligence V Dhar, R Stein Prentice-Hall, Inc., 1997 | 323 | 1997 |
On the Equivalence of Constraint Satisfaction Problems. F Rossi, CJ Petrie, V Dhar ECAI 90, 550-556, 1990 | 296 | 1990 |