| A novel data-driven model for real-time influenza forecasting SR Venna, A Tavanaei, RN Gottumukkala, VV Raghavan, AS Maida, ... Ieee Access 7, 7691-7701, 2018 | 138 | 2018 |
| Visual analytic decision-making environments for large-scale time-evolving graphs SR Venna, RN Gottumukkala, VV Raghavan Handbook of Statistics 35, 81-115, 2016 | 6 | 2016 |
| Visual Analytics of Time Evolving Large-scale Graphs. RN Gottumukkala, SR Venna, V Raghavan IEEE Intell. Informatics Bull. 16 (1), 10-16, 2015 | 6 | 2015 |
| VAStream: A visual analytics system for fast data streams S Katragadda, R Gottumukkala, S Venna, N Lipari, S Gaikwad, M Pusala, ... Proceedings of the Practice and Experience in Advanced Research Computing on …, 2019 | 4 | 2019 |
| River stage forecasting using enhanced partial correlation graph SR Venna, S Katragadda, V Raghavan, R Gottumukkala Water Resources Management 35 (12), 4111-4126, 2021 | 3 | 2021 |
| Sentiment Classification of text reviews using novel feature selection with reduced over-fitting VSRK Reddy, DVLN Somayajulu, AR Dani 2010 International Conference for Internet Technology and Secured …, 2010 | 2 | 2010 |
| Data-Driven Approaches for Real-Time Forecasting in Network Time Series SR Venna University of Louisiana at Lafayette, 2019 | | 2019 |
| Aspect Extraction using semi-supervised learning SR Venna | | 2015 |
| Classification of Movie Reviews Using Complemented Naive Bayesian Classifier SR Venna, D Somayajulu, A Dani International Journal of Intelligent Computing Research 2 (3), 148-153, 2011 | | 2011 |
Vijay V RaghavanAlfred and Helen Lamson Endowed Professor in Computer Science, University of Louisiana at LafayetteVerified email at louisiana.edu
