| 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 | 40 | 2018 |
| 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 | 33 | 2020 |
| 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 | 32 | 2016 |
| Multi-Net: A Scalable Multiplex Network Embedding Framework A Bagavathi, S Krishnan Complex Networks and Their Applications VII: Volume 2 Proceedings The 7th …, 2019 | 31 | 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 | 28 | 2019 |
| 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 | 24 | 2020 |
| 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 | 22 | 2019 |
| 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 | 20 | 2017 |
| 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 | 19 | 2020 |
| Action rules for sentiment analysis using Twitter AA Tzacheva, J Ranganathan, A Bagavathi International Journal of Social Network Mining 3 (1), 35-51, 2020 | 19 | 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 | 17 | 2018 |
| 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 | 16 | 2020 |
| 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 | 16 | 2020 |
| Rule based systems in distributed environment: Survey A Bagavathi, AA Tzacheva Proceedings of International Conference on Cloud Computing and Applications …, 2017 | 14 | 2017 |
| 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 | 12 | 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 | 11 | 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 | 9 | 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 | 8 | 2021 |
| Unsupervised gaze prediction in egocentric videos by energy-based surprise modeling SN Aakur, A Bagavathi arXiv preprint arXiv:2001.11580, 2020 | 8 | 2020 |
| High-performance actionable knowledge miner for boosting business revenue KA Tarnowska, A Bagavathi, ZW Ras Applied Sciences 12 (23), 12393, 2022 | 7 | 2022 |
Siddharth KrishnanAssistant Professor, University of North Carolina - CharlotteVahvistettu sähköpostiosoite verkkotunnuksessa uncc.edu