Sathappan Muthiah

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Naren RamakrishnanThomas L. Phillips Professor of Engineering, Virginia Tech and Director, @SanghaniCtrVTZweryfikowany adres z cs.vt.edu
David MaresProfessor of Political Science, University of California, San DiegoZweryfikowany adres z ucsd.edu
Patrick ButlerVirginia TechZweryfikowany adres z vt.edu
Chang-Tien LuComputer Science, Virginia TechZweryfikowany adres z vt.edu
Mohammad Raihanul IslamApplied Scientist, AmazonZweryfikowany adres z amazon.com
jaime arredondoUniversity of California, San Diego. Phd Candidate.Zweryfikowany adres z ucsd.edu
Rupinder Paul KhandpurSoftware Engineer, Machine Learning - Meta PlatformsZweryfikowany adres z vt.edu
Liang ZhaoEmory UniversityZweryfikowany adres z emory.edu
Yue NingStevens Institute of TechnologyZweryfikowany adres z stevens.edu
Lise GetoorProfessor of Computer Science, University of California, Santa CruzZweryfikowany adres z ucsc.edu
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceZweryfikowany adres z vt.edu
Huzefa RangwalaProfessor & Lawrence Cranberg Research Faculty FellowZweryfikowany adres z cs.gmu.edu
Dipak K. GuptaProfessor Emeritus, political Science San Diego State UniversityZweryfikowany adres z mail.sdsu.edu
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyZweryfikowany adres z cs.cmu.edu
Bijaya AdhikariDepartment of Computer Science, University of IowaZweryfikowany adres z uiowa.edu
Ravi TandonAssociate Professor, University of ArizonaZweryfikowany adres z arizona.edu
Alla RozovskayaAssistant Professor, Queens College, CUNYZweryfikowany adres z qc.cuny.edu
Jose CadenaResearch Staff Member, Machine Learning Group, Lawrence Livermore National LaboratoryZweryfikowany adres z vt.edu
Anil Vullikanti (V. S. Anil Kumar)University of VirginiaZweryfikowany adres z virginia.edu
Parang SarafStaff Machine Learning Scientist @  AppleZweryfikowany adres z apple.com

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Sathappan Muthiah

Virginia Tech

Zweryfikowany adres z vt.edu - Strona główna

Data Mining Machine Learning Event Modeling


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
'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	270	2014
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	80	2015
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	69	2018
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	64	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	45	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	36	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	20	2014
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	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	13	2015
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems. N Muralidhar, S Muthiah, N Ramakrishnan IJCAI, 3180-3186, 2019	12	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	8	2020
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	8	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	7	2019
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	7	2016
Forecasting protests by detecting future time mentions in news and social media S Muthiah Virginia Tech, 2014	7	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	6	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	4	2019
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
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	2	2018

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