Department of Computer Science

Research

Latest Publications

Kamal, S., Little, B., Harms, T., Gullic, J., and Bagavathi, A., “Modeling Political Orientation of Social Media Posts: An Extended Analysis” (Under review) in Springer Journal of Intelligent Information Systems (JIIS) [Impact Factor: 2.5] - (Involves REU research)
Kamal, S., Hartford, J., Willis, J., and Bagavathi, A. “Learning Unbiased News Article Embeddings: A Fair and Knowledge-Infused Approach” (Accepted at) in IEEE International Conference on Machine Learning and Applications (ICMLA), 2023 [Paper] - (Involves RET research)
Tripuraneni, S.S., Kamal, S., and Bagavathi, A. “Quantitative Analysis of Forecasting Models: In the Aspect of Online Political Bias” (Accepted at) in IEEE International Conference on Machine Learning and Applications (ICMLA), 2023 [Paper]

Tarnowska, S., Bagavathi, A., and Ras, Z. W., "High-Performance Actionable Knowledge Miner for Boosting Business Revenue", in Applied Sciences, 12(23), 2022, p.12393[Paper]
Kamal, S., Gullic, J. and Bagavathi, A., "Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias", in Foundations of Intelligent Systems: 26th International Symposium, ISMIS, 2022, pp. 35-43[Paper].

Hajare, P., Kamal, S., Krishnan, S. and Bagavathi, A., "A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches", in 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021, pp. 239-243[Paper]
Aakur, S.N., Indla, V., Indla, V., Narayanan, S., Bagavathi, A., Ramnath, V.L. and Ramachandran, A., "Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis", in IEEE International Conference on Data Mining Workshops (ICDMW), 2021 pp. 500-507[Paper]
Aakur, S. N., Indla, V., Bagavathi, A., Narayanan, S., Ramachandran, A., Ramnath, V. L. "MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis" in 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2021 pp. 592-602[Paper]
Indla, V., Indla, V., Narayanan, S., Ramachandran, A., Bagavathi, A., Ramnath, V. L., Aakur, S. N. "Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-Training" in 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Springer, vol. 12712, 2021, pp. 164-175 (Acceptance Rate: 20%)[Paper]
Aakur, S. N. and Bagavathi, A., "Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling", in International Conference on Computer Vision Theory and Applications, 2021, pp. 935-942[Paper]