Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences. - Ashish Ranjan 003; Akshay Deepak; Md. Shah Fahad; Sudhakar Tripathi (CoRR, 2018)

Deep Robust Framework for Protein Function Prediction Using Variable-Length Protein Sequences. - Ashish Ranjan 003; Md. Shah Fahad; David Fernández-Baca; Akshay Deepak; Sudhakar Tripathi (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

A survey of speech emotion recognition in natural environment. - Md. Shah Fahad; Ashish Ranjan 003; Jainath Yadav; Akshay Deepak (Digit. Signal Process., 2021)

Speaker Adversarial Neural Network (SANN) for Speaker-independent Speech Emotion Recognition. - Md. Shah Fahad; Ashish Ranjan 003; Akshay Deepak; Gayadhar Pradhan (Circuits Syst. Signal Process., 2022)

λ-Scaled-attention: A novel fast attention mechanism for efficient modeling of protein sequences. - Ashish Ranjan 003; Md. Shah Fahad; Akshay Deepak (Inf. Sci., 2022)

Emotion recognition from spontaneous speech using emotional vowel-like regions. - Md. Shah Fahad; Shreya Singh; Abhinav; Ashish Ranjan 003; Akshay Deepak (Multim. Tools Appl., 2022)

An Ensemble Tf-Idf Based Approach to Protein Function Prediction via Sequence Segmentation. - Ashish Ranjan 003; David Fernández-Baca; Sudhakar Tripathi; Akshay Deepak (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture. - Vikash Kumar; Ashish Ranjan 003; Deng Cao; Gopalakrishnan Krishnasamy; Akshay Deepak (ICAART (3), 2023)

Lite-SeqCNN: A Light-Weight Deep CNN Architecture for Protein Function Prediction. - Vikash Kumar; Akshay Deepak; Ashish Ranjan 003; Aravind Prakash (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

MCWS-Transformers: Towards an Efficient Modeling of Protein Sequences via Multi Context-Window Based Scaled Self-Attention. - Ashish Ranjan 003; Md. S. Fahad; David Fernández-Baca; Sudhakar Tripathi; Akshay Deepak (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A Sub-Sequence Based Approach to Protein Function Prediction via Multi-Attention Based Multi-Aspect Network. - Ashish Ranjan 003; Archana Tiwari; Akshay Deepak (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

CrossPredGO: A Novel Light-Weight Cross-Modal Multi-Attention Framework for Protein Function Prediction. - Vikash Kumar; Akshay Deepak; Ashish Ranjan 003; Aravind Prakash (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Bi-SeqCNN: A Novel Light-Weight Bi-Directional CNN Architecture for Protein Function Prediction. - Vikash Kumar; Akshay Deepak; Ashish Ranjan 003; Aravind Prakash (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)