Akhilesh Ramachandran

According to our database, Akhilesh Ramachandran authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

TEPI: Taxonomy-Aware Embedding and Pseudo-Imaging for Scarcely-Labeled Zero-Shot Genome Classification.

Sathyanarayanan N. Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy, Akhilesh Ramachandran

IEEE J. Biomed. Health Informatics, April, 2024

2022

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

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis.

Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran

Proceedings of the 2021 International Conference on Data Mining, 2021

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

GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning.

Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020