Ashish Ranjan

About Ashish Ranjan

Ashish Ranjan, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at National Institute of Technology, Patna, specializes in the field of Machine Learning, Computational Biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Discriminative Feature Construction Using Multi-labeling Approach for Automatic Speech Emotion Recognition

A novel hybrid CNN and BiGRU-Attention based deep learning model for protein function prediction

Lite-SeqCNN: A Light-weight Deep CNN Architecture for Protein Function Prediction

A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture

Speaker adversarial neural network (SANN) for speaker-independent speech emotion recognition

λ-Scaled-attention: A novel fast attention mechanism for efficient modeling of protein sequences

MCWS-transformers: towards an efficient modeling of protein sequences via multi context-window based scaled self-attention

Hindi Songs Genre Classification Using Deep Learning

Ashish Ranjan Information

University

Position

Research Scholar

Citations(all)

159

Citations(since 2020)

157

Cited By

9

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Ashish Ranjan Skills & Research Interests

Machine Learning

Computational Biology

Top articles of Ashish Ranjan

Discriminative Feature Construction Using Multi-labeling Approach for Automatic Speech Emotion Recognition

2023/5/31

A novel hybrid CNN and BiGRU-Attention based deep learning model for protein function prediction

Statistical Applications in Genetics and Molecular Biology

2023/1/27

Akshay Deepak
Akshay Deepak

H-Index: 6

Ashish Ranjan
Ashish Ranjan

H-Index: 2

Lite-SeqCNN: A Light-weight Deep CNN Architecture for Protein Function Prediction

IEEE/ACM Transactions on Computational Biology and Bioinformatics

2023/1/27

A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture

2023

Speaker adversarial neural network (SANN) for speaker-independent speech emotion recognition

Circuits, Systems, and Signal Processing

2022/11

λ-Scaled-attention: A novel fast attention mechanism for efficient modeling of protein sequences

Information Sciences

2022/9/1

Ashish Ranjan
Ashish Ranjan

H-Index: 2

Akshay Deepak
Akshay Deepak

H-Index: 6

MCWS-transformers: towards an efficient modeling of protein sequences via multi context-window based scaled self-attention

IEEE/ACM Transactions on Computational Biology and Bioinformatics

2022/5/10

Ashish Ranjan
Ashish Ranjan

H-Index: 2

Akshay Deepak
Akshay Deepak

H-Index: 6

Hindi Songs Genre Classification Using Deep Learning

2022/4/8

Multi-model emotion recognition using hybrid framework of deep and machine learning

2022/4/8

Ashish Ranjan
Ashish Ranjan

H-Index: 2

Akshay Deepak
Akshay Deepak

H-Index: 6

Emotion recognition from spontaneous speech using emotional vowel-like regions

2013

A sub-sequence based approach to protein function prediction via multi-attention based multi-aspect network

IEEE/ACM transactions on computational biology and bioinformatics

2021/11/26

An ensemble tf-idf based approach to protein function prediction via sequence segmentation

IEEE/ACM Transactions on Computational Biology and Bioinformatics

2021/6/29

A survey of speech emotion recognition in natural environment

2021/3/1

Ashish Ranjan
Ashish Ranjan

H-Index: 2

Akshay Deepak
Akshay Deepak

H-Index: 6

See List of Professors in Ashish Ranjan University(National Institute of Technology, Patna)

Co-Authors

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