Sathappan Muthiah
Sathappan Muthiah
Graduate Student, Virginia Tech
Verified email at vt.edu - Homepage
Title
Cited by
Cited by
Year
'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
1912014
Planned protest modeling in news and social media
S Muthiah, B Huang, J Arredondo, D Mares, L Getoor, G Katz, ...
Twenty-Seventh IAAI Conference, 2015
532015
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
312016
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
312014
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
152016
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
112015
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
102018
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
82014
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
72015
Forecasting protests by detecting future time mentions in news and social media
S Muthiah
Virginia Tech, 2014
52014
Forecasting Crime Incidents using Cluster Analysis and Bayesian Belief Networks
A Mahendiran, M Shuffett, S Muthiah, R Malla, G Zhang
42011
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
22016
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
12019
RumorSleuth: joint detection of rumor veracity and user stance
MR Islam, S Muthiah, N Ramakrishnan
2019 IEEE/ACM International Conference on Advances in Social Networks …, 2019
12019
Hierarchical Quickest Change Detection via Surrogates
P Chakraborty, S Muthiah, R Tandon, N Ramakrishnan
arXiv preprint arXiv:1603.09739, 2016
12016
ProtTox: Toxin identification from Protein Sequences
D Datta, S Muthiah, P Butler, MR Islam, A Warren, N Ramakrishnan
bioRxiv, 2020
2020
Geospatial Clustering for Balanced and Proximal Schools.
S Biswas, F Chen, A Sistrunk, S Muthiah, Z Chen, N Self, CT Lu, ...
AAAI, 13358-13365, 2020
2020
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
2019
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems.
N Muralidhar, S Muthiah, N Ramakrishnan
IJCAI, 3180-3186, 2019
2019
When do Crowds turn Violent? Uncovering Triggers from Media
Y Ning, S Muthiah, N Ramakrishnan, H Rangwala, D Mares
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
2018
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Articles 1–20