| Epidemiological modeling of news and rumors on twitter F Jin, E Dougherty, P Saraf, Y Cao, N Ramakrishnan Proceedings of the 7th workshop on social network mining and analysis, 1-9, 2013 | 466 | 2013 |
| Privacy risks in recommender systems N Ramakrishnan, BJ Keller, BJ Mirza, AY Grama, G Karypis arXiv preprint cs/0105028, 2001 | 331* | 2001 |
| 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators N Ramakrishnan, P Butler, S Muthiah, N Self, R Khandpur, P Saraf, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 304 | 2014 |
| Deep reinforcement learning for sequence-to-sequence models Y Keneshloo, T Shi, N Ramakrishnan, CK Reddy IEEE transactions on neural networks and learning systems 31 (7), 2469-2489, 2019 | 285 | 2019 |
| 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 | 278 | 2021 |
| A systematic review of studies on forecasting the dynamics of influenza outbreaks EO Nsoesie, JS Brownstein, N Ramakrishnan, MV Marathe Influenza and other respiratory viruses 8 (3), 309-316, 2014 | 252 | 2014 |
| Misinformation propagation in the age of twitter F Jin, W Wang, L Zhao, E Dougherty, Y Cao, CT Lu, N Ramakrishnan Computer 47 (12), 90-94, 2014 | 226 | 2014 |
| The human is the loop: new directions for visual analytics A Endert, MS Hossain, N Ramakrishnan, C North, P Fiaux, C Andrews Journal of intelligent information systems 43, 411-435, 2014 | 224 | 2014 |
| Sub2Vec: Feature Learning for Subgraphs B Adhikari, Y Zhang, N Ramakrishnan, BA Prakash Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 217 | 2018 |
| Incorporating prior domain knowledge into deep neural networks N Muralidhar, MR Islam, M Marwah, A Karpatne, N Ramakrishnan 2018 IEEE international conference on big data (big data), 36-45, 2018 | 211 | 2018 |
| Photosynthetic acclimation is reflected in specific patterns of gene expression in drought-stressed loblolly pine JI Watkinson, AA Sioson, C Vasquez-Robinet, M Shukla, D Kumar, M Ellis, ... Plant Physiology 133 (4), 1702-1716, 2003 | 203 | 2003 |
| Crowdsourcing cybersecurity: Cyber attack detection using social media RP Khandpur, T Ji, S Jan, G Wang, CT Lu, N Ramakrishnan Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 193 | 2017 |
| Multi-task learning for spatio-temporal event forecasting L Zhao, Q Sun, J Ye, F Chen, CT Lu, N Ramakrishnan Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 189 | 2015 |
| Studying recommendation algorithms by graph analysis BJ Mirza, BJ Keller, N Ramakrishnan Journal of intelligent information systems 20, 131-160, 2003 | 178 | 2003 |
| A temporal motif mining approach to unsupervised energy disaggregation: Applications to residential and commercial buildings H Shao, M Marwah, N Ramakrishnan Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 1327-1333, 2013 | 159 | 2013 |
| Data mining: From serendipity to science N Ramakrishnan, AY Grama Computer 32 (8), 34-37, 1999 | 158 | 1999 |
| Racism is a virus: Anti-Asian hate and counterspeech in social media during the COVID-19 crisis B He, C Ziems, S Soni, N Ramakrishnan, D Yang, S Kumar Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021 | 146 | 2021 |
| Growing pains for global monitoring of societal events W Wang, R Kennedy, D Lazer, N Ramakrishnan Science 353 (6307), 1502-1503, 2016 | 124 | 2016 |
| Phynet: Physics guided neural networks for particle drag force prediction in assembly N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne Proceedings of the 2020 SIAM international conference on data mining, 559-567, 2020 | 123* | 2020 |
| Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016 CJ McGowan, M Biggerstaff, M Johansson, KM Apfeldorf, M Ben-Nun, ... Scientific reports 9 (1), 683, 2019 | 122 | 2019 |
Manish MarwahHP LabsVerified email at hp.com
