'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 | 298 | 2014 |
DeepDiffuse: Predicting the'Who'and'When'in Cascades MR Islam, S Muthiah, B Adhikari, BA Prakash, N Ramakrishnan 2018 IEEE International Conference on Data Mining (ICDM), 1055-1060, 2018 | 98 | 2018 |
Planned protest modeling in news and social media S Muthiah, B Huang, J Arredondo, D Mares, L Getoor, G Katz, ... Proceedings of the AAAI Conference on Artificial Intelligence 29 (2), 3920-3927, 2015 | 95 | 2015 |
Modeling precursors for event forecasting via nested multi-instance learning Y Ning, S Muthiah, H Rangwala, N Ramakrishnan Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 71 | 2016 |
Forecasting significant societal events using the Embers streaming predictive analytics system A Doyle, G Katz, K Summers, C Ackermann, I Zavorin, Z Lim, S Muthiah, ... Big data 2 (4), 185-195, 2014 | 57 | 2014 |
Embers at 4 years: Experiences operating an open source indicators forecasting system S Muthiah, P Butler, RP Khandpur, P Saraf, N Self, A Rozovskaya, L Zhao, ... Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 49 | 2016 |
The EMBERS architecture for streaming predictive analytics A Doyle, G Katz, K Summers, C Ackermann, I Zavorin, Z Lim, S Muthiah, ... 2014 IEEE International Conference on Big Data (Big Data), 11-13, 2014 | 28 | 2014 |
RumorSleuth: joint detection of rumor veracity and user stance MR Islam, S Muthiah, N Ramakrishnan Proceedings of the 2019 IEEE/ACM international conference on advances in …, 2019 | 27 | 2019 |
Geospatial clustering for balanced and proximal schools S Biswas, F Chen, A Sistrunk, S Muthiah, Z Chen, N Self, CT Lu, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13358 …, 2020 | 17 | 2020 |
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems. N Muralidhar, S Muthiah, N Ramakrishnan IJCAI, 3180-3186, 2019 | 15 | 2019 |
Uncovering news-twitter reciprocity via interaction patterns Y Ning, S Muthiah, R Tandon, N Ramakrishnan Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 15 | 2015 |
Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach N Muralidhar, S Muthiah, K Nakayama, R Sharma, N Ramakrishnan 2019 IEEE International Conference on Big Data (Big Data), 543-552, 2019 | 10 | 2019 |
Leveraging topic models to develop metrics for evaluating the quality of narrative threads extracted from news stories J Schlachter, A Ruvinsky, LA Reynoso, S Muthiah, N Ramakrishnan Procedia Manufacturing 3, 4028-4035, 2015 | 9 | 2015 |
Capturing planned protests from open source indicators S Muthiah, B Huang, J Arredondo, D Mares, L Getoor, G Katz, ... AI Magazine 37 (2), 63-75, 2016 | 8 | 2016 |
Forecasting protests by detecting future time mentions in news and social media S Muthiah Virginia Tech, 2014 | 8 | 2014 |
Forecasting Crime Incidents using Cluster Analysis and Bayesian Belief Networks A Mahendiran, M Shuffett, S Muthiah, R Malla, G Zhang Forrás: http://filebox. vt. edu/users/shuffett/analytics/assets …, 2011 | 8 | 2011 |
NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural Network MR Islam, S Muthiah, N Ramakrishnan Proceedings of the 28th ACM International Conference on Information and …, 2019 | 5 | 2019 |
Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions RB Yousuf, S Biswas, KK Kaushal, J Dunham, R Gelles, S Muthiah, N Self, ... arXiv preprint arXiv:2207.04029, 2022 | 3 | 2022 |
Forecasting civil strife: An emerging methodology DK Gupta, S Muthiah, D Mares, N Ramakrishnan The Third International Conference on Human and Social Analytics, 6, 2017 | 3 | 2017 |
Hierarchical Quickest Change Detection via Surrogates P Chakraborty, S Muthiah, R Tandon, N Ramakrishnan arXiv preprint arXiv:1603.09739, 2016 | 3 | 2016 |