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Akhilesh Ramachandran
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2020 – today
- 2024
- [j1]Sathyanarayanan N. Aakur
, Vishalini R. Laguduva
, Priyadharsini Ramamurthy
, Akhilesh Ramachandran:
TEPI: Taxonomy-Aware Embedding and Pseudo-Imaging for Scarcely-Labeled Zero-Shot Genome Classification. IEEE J. Biomed. Health Informatics 28(4): 2385-2396 (2024) - [i5]Sathyanarayanan N. Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy, Akhilesh Ramachandran:
TEPI: Taxonomy-aware Embedding and Pseudo-Imaging for Scarcely-labeled Zero-shot Genome Classification. CoRR abs/2401.13219 (2024) - 2022
- [i4]Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy, Arunkumar Bagavathi
, Vishalini Ramnath, Akhilesh Ramachandran:
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning. CoRR abs/2212.00015 (2022) - 2021
- [c4]Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi
, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. ICDM (Workshops) 2021: 500-507 - [c3]Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi
, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis. MICCAI (5) 2021: 592-602 - [c2]Vineela Indla, Vennela Indla, Sai Narayanan, Akhilesh Ramachandran, Arunkumar Bagavathi
, Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur:
Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training. PAKDD (1) 2021: 164-175 - [i3]Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis. CoRR abs/2107.09883 (2021) - [i2]Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. CoRR abs/2111.08001 (2021) - 2020
- [c1]Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi
:
GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning. ICMLA 2020: 1297-1303 - [i1]Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi:
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks. CoRR abs/2007.12791 (2020)
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