Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning. - Rahul Krishnan Pathinarupothi; Vinaykumar R.; Ekanath Rangan; E. Gopalakrishnan; K. P. Soman (BHI, 2017)

Stock price prediction using dynamic mode decomposition. - Deepthi Praveenlal Kuttichira; E. A. Gopalakrishnan; Vijay Krishna Menon; K. P. Soman (ICACCI, 2017)

Classification of states of bi-stable oscillator using deep learning. - Rohit Mohan; E. A. Gopalakrishnan; K. P. Soman (ICACCI, 2017)

Stock price prediction using LSTM, RNN and CNN-sliding window model. - Sreelekshmy Selvin; R. Vinayakumar; E. A. Gopalakrishnan; Vijay Krishna Menon; K. P. Soman (ICACCI, 2017)

Single Sensor Techniques for Sleep Apnea Diagnosis Using Deep Learning. - Rahul Krishnan Pathinarupothi; Dhara Prathap J; Ekanath Srihari Rangan; E. Gopalakrishnan; Vinaykumar R.; Soman K. P (ICHI, 2017)

Accurate Estimation of Glottal Closure Instants and Glottal Opening Instants from Electroglottographic Signal Using Variational Mode Decomposition. - G. Jyothish Lal; E. A. Gopalakrishnan; D. Govind 001 (Circuits Syst. Signal Process., 2018)

Epoch Estimation from Emotional Speech Signals Using Variational Mode Decomposition. - G. Jyothish Lal; E. A. Gopalakrishnan; D. Govind 001 (Circuits Syst. Signal Process., 2018)

Performance Improvement of Deep Residual Skip Convolution Neural Network for Atrial Fibrillation Classification. - Sanjana K.; V. Sowmya 001; E. A. Gopalakrishnan; K. P. Soman (FICTA (1), 2020)

Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading. - Ramji Balasubramanian; V. Sowmya 001; E. A. Gopalakrishnan; Vijay Krishna Menon; V. V. Sajith Variyar; K. P. Soman (ICCCNT, 2020)

Deep Learning Based Approach for Multiple Myeloma Detection. - M. T. Vyshnav; V. Sowmya 001; E. A. Gopalakrishnan; V. V. Sajith Variyar; Vijay Krishna Menon; K. P. Soman (ICCCNT, 2020)

Prediction of number of cases expected and estimation of the final size of coronavirus epidemic in India using the logistic model and genetic algorithm. - Ganesh Kumar M; Soman K. P; Gopalakrishnan E. A; Vijay Krishna Menon; V. Sowmya 001 (CoRR, 2020)

Glottal Activity Detection from the Speech Signal Using Multifractal Analysis. - G. Jyothish Lal; E. A. Gopalakrishnan; D. Govind 001 (Circuits Syst. Signal Process., 2020)

Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson's Disease Detection. - Yamini Madan; Iswarya Kannoth Veetil; Sowmya Vishvanathan 001; Gopalakrishnan E. A; Soman K. P (FICTA (2), 2021)

Exploring fake news identification using word and sentence embeddings. - Priyanga V. T; Sanjanasri J. P.; Vijay Krishna Menon; E. A. Gopalakrishnan; K. P. Soman (J. Intell. Fuzzy Syst., 2021)

Explainable AI Framework for COVID-19 Prediction in Different Provinces of India. - Mredulraj S. Pandianchery; Gopalakrishnan E. A; V. Sowmya 001; Vinayakumar Ravi; Soman K. P (CoRR, 2022)

A Recurrence Network Approach for Characterization and Detection of Dynamical Transitions During Human Speech Production. - G. Jyothish Lal; E. A. Gopalakrishnan; D. Govind 001 (Circuits Syst. Signal Process., 2022)

Odonata identification using Customized Convolutional Neural Networks. - Hari Theivaprakasham; S. Darshana; Vinayakumar Ravi; V. Sowmya 001; E. A. Gopalakrishnan; K. P. Soman (Expert Syst. Appl., 2022)

Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN. - Ganesh Kumar M; Vinayakumar Ravi; V. Sowmya 001; Gopalakrishnan E. A; Soman K. P; Chinmay Chakraborty (Multim. Tools Appl., 2022)

Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India. - Paleti Nikhil Chowdary; Sathvika P; Pranav U; Rohan S; V. Sowmya 001; E. A. Gopalakrishnan; Dhanya M (CoRR, 2023)

Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures. - J. Arun Prakash; CR Asswin; K. S. Dharshan Kumar; Avinash Dora; Vinayakumar Ravi; V. Sowmya 001; E. A. Gopalakrishnan; Soman K. P. (Eng. Appl. Artif. Intell., 2023)

Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram. - Ganeshkumar M.; Vinayakumar Ravi; V. Sowmya 001; Gopalakrishnan E. A; Soman K. P (IEEE Trans. Engineering Management, 2023)

Two-stage deep learning model for automate detection and classification of lung diseases. - Ganeshkumar M.; Vinayakumar Ravi; V. Sowmya 001; E. A. Gopalakrishnan; K. P. Soman; M. Rupeshkumar (Soft Comput., 2023)

Open Set Domain Adaptation for Classification of Dynamical States in Nonlinear Fluid Dynamical Systems. - S. Akshay 003; E. A. Gopalakrishnan; Sowmya Vishvanathan 001; J. Venkatramani; Dheeraj Tripathi; Jay Shankar Prasad; Sirshendu Mondal (IEEE Access, 2024)

A Visibility Graph Approach for Multi-Stage Classification of Parkinson's Disease Using Multimodal Data. - K. Deepa Raj; G. Jyothish Lal; E. A. Gopalakrishnan; V. Sowmya 001; Juan Rafael Orozco-Arroyave (IEEE Access, 2024)

An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural Networks. - Iswarya Kannoth Veetil; Divi Eswar Chowdary; Paleti Nikhil Chowdary; V. Sowmya 001; E. A. Gopalakrishnan (Digit. Signal Process., 2024)

Robust language independent voice data driven Parkinson's disease detection. - Iswarya Kannoth Veetil; V. Sowmya 001; Juan Rafael Orozco-Arroyave; E. A. Gopalakrishnan (Eng. Appl. Artif. Intell., 2024)

Deep learning-based approach for multi-stage diagnosis of Alzheimer's disease. - Srividhya L; V. Sowmya 001; Vinaykumar Ravi; Gopalakrishnan E. A; Soman K. P (Multim. Tools Appl., 2024)

Centralized CNN-GRU Model by Federated Learning for COVID-19 Prediction in India. - Mredulraj S. Pandianchery; V. Sowmya 001; E. A. Gopalakrishnan; Vinayakumar Ravi; K. P. Soman (IEEE Trans. Comput. Soc. Syst., 2024)

An Indian database for grading wound healing and cross-corpus classification using perturbation-based Explainable AI models. - Naveen Varghese Jacob; V. Sowmya 001; Gopalakrishnan E. A; Riju Ramachandran; Anoop Vasudevan Pillai (Comput. Methods Programs Biomed., 2025)