no code implementations • 24 Jan 2024 • Sathyanarayanan Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy, Akhilesh Ramachandran
In this study, we propose addressing this problem through zero-shot learning using TEPI, Taxonomy-aware Embedding and Pseudo-Imaging.
no code implementations • 30 Nov 2022 • Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy, Arunkumar Bagavathi, Vishalini Ramnath, Akhilesh Ramachandran
The emergence of zoonotic diseases from novel pathogens, such as the influenza virus in 1918 and SARS-CoV-2 in 2019 that can jump species barriers and lead to pandemic underscores the need for scalable metagenome analysis.
no code implementations • 31 Mar 2022 • Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal, Revathy Venkataramanan, Kausik Lakkaraju, Sathyanarayanan N. Aakur, Biplav Srivastava
This demands a need for better representation of the recipes, overcoming the ambiguity and sparseness that exists in the current textual documents.