Ashish Ranjan
Orcid: 0000-0002-0091-1088Affiliations:
- Siksha 'O' Anusandhan University, Department of Computer Science and Engineering, Bhubaneswar, India
- National Institute of Technology Patna, Department of Computer Science and Engineering, India
According to our database1,
Ashish Ranjan
authored at least 13 papers
between 2018 and 2024.
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Bibliography
2024
Bi-SeqCNN: A Novel Light-Weight Bi-Directional CNN Architecture for Protein Function Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
CrossPredGO: A Novel Light-Weight Cross-Modal Multi-Attention Framework for Protein Function Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
2023
A Sub-Sequence Based Approach to Protein Function Prediction via Multi-Attention Based Multi-Aspect Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
MCWS-Transformers: Towards an Efficient Modeling of Protein Sequences via Multi Context-Window Based Scaled Self-Attention.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
2022
An Ensemble Tf-Idf Based Approach to Protein Function Prediction via Sequence Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Multim. Tools Appl., 2022
λ-Scaled-attention: A novel fast attention mechanism for efficient modeling of protein sequences.
Inf. Sci., 2022
Speaker Adversarial Neural Network (SANN) for Speaker-independent Speech Emotion Recognition.
Circuits Syst. Signal Process., 2022
2021
Digit. Signal Process., 2021
2020
Deep Robust Framework for Protein Function Prediction Using Variable-Length Protein Sequences.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
2018
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences.
CoRR, 2018