| Leveraging pre-trained language models for mining microbiome-disease relationships N Karkera, S Acharya, SK Palaniappan BMC bioinformatics 24 (1), 290, 2023 | 16 | 2023 |
| Analytical Comparison of Classification Models for Raga Identification in Carnatic Classical Instrumental Polyphonic Audio A Bhat, AV Krishna, S Acharya SN Computer Science 1, 1-9, 2020 | 6 | 2020 |
| Analysis of RNA-Seq data using self-supervised learning for vital status prediction of colorectal cancer patients G Padegal, MK Rao, OA Boggaram Ravishankar, S Acharya, P Athri, ... BMC bioinformatics 24 (1), 1-17, 2023 | 3 | 2023 |
| Analytical comparison of classification models for raga identification in carnatic classical audio S Acharya, V Devalla, O Amitesh, Ashwini Advances in Speech and Music Technology: Proceedings of FRSM 2020, 211-222, 2021 | 3 | 2021 |
| Asking the right questions for mutagenicity prediction from BioMedical text S Acharya, NK Shinada, N Koyama, M Ikemori, T Nishioka, S Hitaoka, ... npj Systems Biology and Applications 9 (1), 63, 2023 | 1 | 2023 |
| Capturing the Concept Projection in Metaphorical Memes for Downstream Learning Tasks S Acharya, B Das, TSB Sudarshan IEEE Access, 2023 | | 2023 |
| Towards Self-Supervised Learning for Prediction of Vital Status of Colorectal Cancer Patients G Padegal, M Krishna, OA B. R, S Acharya, G Srinivasa Self-Supervised Learning - Theory and Practice Workshop , NeurIPS 2022, 2022 | | 2022 |
