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]

Melton, J., Bagavathi, A., Krishnan, S., "DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection", in IEEE 19th International Conference on Machine Learning and Applications (ICMLA), 2020, pp. 1015-1022 [Paper]

Narayanan, S., Ramachandran, A., Aakur, S. N., and Bagavathi, A., "Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks", in IEEE 19th International Conference on Machine Learning and Applications (ICMLA), 2020, pp. 1297-1303 [Paper]

Safarnejad, L., Xu, Q., Ge, Y., Krishnan, S., Bagavathi, A., Chen, S., "Contrasting Misinformation and Real-Information Dissemination Network Structures on Social Media During a Health Emergency", in American Journal of Public Health, 2020 Oct, Vol. 110(S3):S340-7 [Paper]

Ridenhour, M., Bagavathi, A., Raisi, E., and Krishnan, S. "Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models" in International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), 2020, pp. 202-212 [Paper]

Safarnejad, L., Xu, Q., Ge, Y., Bagavathi, A., Krishnan, S., Chen, S. "Identifying Influential Factors on Discussion Dynamics of Emerging Health Issues on Social Media: A Computational Study", in JMIR Public Health and Surveillance, 2020, Vol. 6, No. 2: e17175 [Paper]