Identifying discriminative features of brain network for prediction of Alzheimer's disease using graph theory and machine learning.
Frontiers Neuroinformatics, 2024
MCWS-Transformers: Towards an Efficient Modeling of Protein Sequences via Multi Context-Window Based Scaled Self-Attention.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Emotion recognition from spontaneous speech using emotional vowel-like regions.
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
A survey of speech emotion recognition in natural environment.
Digit. Signal Process., 2021
DNN-HMM-Based Speaker-Adaptive Emotion Recognition Using MFCC and Epoch-Based Features.
Circuits Syst. Signal Process., 2021
Deep Robust Framework for Protein Function Prediction Using Variable-Length Protein Sequences.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Pitch-synchronous single frequency filtering spectrogram for speech emotion recognition.
Multim. Tools Appl., 2020
Epoch detection from emotional speech signal using zero time windowing.
Speech Commun., 2018
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences.
CoRR, 2018
DNN-HMM based Speaker Adaptive Emotion Recognition using Proposed Epoch and MFCC Features.
CoRR, 2018
Language identification using PLDA based on i-vector in noisy environment.
Proceedings of the 2016 International Conference on Advances in Computing, 2016