Arunkumar Bagavathi
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Dynamics of health agency response and public engagement in public health emergency: a case study of CDC tweeting patterns during the 2016 Zika epidemic
S Chen, Q Xu, J Buchenberger, A Bagavathi, G Fair, S Shaikh, S Krishnan
JMIR public health and surveillance 4 (4), e10827, 2018
Mr-random forest algorithm for distributed action rules discovery
AA Tzacheva, A Bagavathi, PD Ganesan
International Journal of Data Mining & Knowledge Management Process (IJDKP …, 2016
Contrasting misinformation and real-information dissemination network structures on social media during a health emergency
L Safarnejad, Q Xu, Y Ge, S Krishnan, A Bagarvathi, S Chen
American journal of public health 110 (S3), S340-S347, 2020
Multi-Net: A Scalable Multiplex Network Embedding Framework
A Bagavathi, S Krishnan
Complex Networks and Their Applications VII: Volume 2 Proceedings The 7th …, 2019
Extracting cryptocurrency price movements from the reddit network sentiment
S Wooley, A Edmonds, A Bagavathi, S Krishnan
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
Examining untempered social media: analyzing cascades of polarized conversations
A Bagavathi, P Bashiri, S Reid, M Phillips, S Krishnan
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019
Action rules for sentiment analysis using Twitter
AA Tzacheva, J Ranganathan, A Bagavathi
International Journal of Social Network Mining 3 (1), 35-51, 2020
Sargs method for distributed actionable pattern mining using spark
A Bagavathi, P Mummoju, K Tarnowska, AA Tzacheva, ZW Ras
2017 IEEE International conference on big data (big data), 4272-4281, 2017
Identifying influential factors in the discussion dynamics of emerging health issues on social media: computational study
L Safarnejad, Q Xu, Y Ge, A Bagavathi, S Krishnan, S Chen
JMIR Public Health and Surveillance 6 (3), e17175, 2020
Detecting online hate speech: Approaches using weak supervision and network embedding models
M Ridenhour, A Bagavathi, E Raisi, S Krishnan
Social, Cultural, and Behavioral Modeling: 13th International Conference …, 2020
DeL-haTE: a deep learning tunable ensemble for hate speech detection
J Melton, A Bagavathi, S Krishnan
2020 19th IEEE International Conference on Machine Learning and Applications …, 2020
Actionable pattern discovery for sentiment analysis on twitter data in clustered environment
J Ranganathan, AS Irudayaraj, A Bagavathi, AA Tzacheva
Journal of Intelligent & Fuzzy Systems 34 (5), 2849-2863, 2018
Rule based systems in distributed environment: Survey
A Bagavathi, AA Tzacheva
Proceedings of International Conference on Cloud Computing and Applications …, 2017
Examining the physical manifestation of alt-right gangs: From online trolling to street fighting
SE Reid, M Valasik, A Bagavathi
Gangs in the era of internet and social media, 105-134, 2020
Actionable pattern mining-a scalable data distribution method based on information granules
A Bagavathi, A Tripathi, AA Tzacheva, ZW Ras
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
Data distribution method for scalable actionable pattern mining
A Bagavathi, V Rao, AA Tzacheva
Proceedings of the First International Conference on Data Science, E …, 2018
Discovery of action rules at lowest cost in spark
AA Tzacheva, A Bagavathi, L Ayila
2017 IEEE international conference on data mining workshops (ICDMW), 87-94, 2017
Mg-net: Leveraging pseudo-imaging for multi-modal metagenome analysis
SN Aakur, S Narayanan, V Indla, A Bagavathi, V Laguduva Ramnath, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Unsupervised gaze prediction in egocentric videos by energy-based surprise modeling
SN Aakur, A Bagavathi
arXiv preprint arXiv:2001.11580, 2020
Social sensors early detection of contagious outbreaks in social media
A Bagavathi, S Krishnan
Advances in Artificial Intelligence, Software and Systems Engineering: Joint …, 2019
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