GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning. - Sai Narayanan; Akhilesh Ramachandran; Sathyanarayanan N. Aakur; Arunkumar Bagavathi (ICMLA, 2020)

Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks. - Sai Narayanan; Akhilesh Ramachandran; Sathyanarayanan N. Aakur; Arunkumar Bagavathi (CoRR, 2020)

Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. - Sathyanarayanan N. Aakur; Vineela Indla; Vennela Indla; Sai Narayanan; Arunkumar Bagavathi; Vishalini Laguduva Ramnath; Akhilesh Ramachandran (ICDM (Workshops), 2021)

MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis. - Sathyanarayanan N. Aakur; Sai Narayanan; Vineela Indla; Arunkumar Bagavathi; Vishalini Laguduva Ramnath; Akhilesh Ramachandran (MICCAI (5), 2021)

Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training. - Vineela Indla; Vennela Indla; Sai Narayanan; Akhilesh Ramachandran; Arunkumar Bagavathi; Vishalini Laguduva Ramnath; Sathyanarayanan N. Aakur (PAKDD (1), 2021)

Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning. - Sai Narayanan; Sathyanarayanan N. Aakur; Priyadharsini Ramamurthy; Arunkumar Bagavathi; Vishalini Ramnath; Akhilesh Ramachandran (CoRR, 2022)