Graph Theory and Machine Learning Based Epileptic Seizures Analysis from EEG. - Anand Shankar; Samarendra Dandapat; Shovan Barma (MWSCAS, 2020)

Classification of Epileptic Seizure From EEG Signal Based on Hilbert Vibration Decomposition and Deep Learning. - Anand Shankar; Samarendra Dandapat; Shovan Barma (EMBC, 2021)

Seizure Type Classification Using EEG Based on Gramian Angular Field Transformation and Deep Learning. - Anand Shankar; Samarendra Dandapat; Shovan Barma (EMBC, 2021)

Analysis of epileptic seizures based on EEG using recurrence plot images and deep learning. - Anand Shankar; Hnin Kay Khaing; Samarendra Dandapat; Shovan Barma (Biomed. Signal Process. Control., 2021)

Seizure Types Classification by Generating Input Images With in-Depth Features From Decomposed EEG Signals for Deep Learning Pipeline. - Anand Shankar; Samarendra Dandapat; Shovan Barma (IEEE J. Biomed. Health Informatics, 2022)

Seizure Type Detection Using EEG Signals Based on Phase Synchronization and Deep Learning. - Anand Shankar; Debaleena Chakraborty; Manob Jyoti Saikia; Samarendra Dandapat; Shovan Barma (BSN, 2023)

Attention Dynamics: Estimating Attention Levels of ADHD using Swin Transformer. - Debashis Das Chakladar; Anand Shankar; Foteini Liwicki; Shovan Barma; Rajkumar Saini (ICPR (11), 2024)

Examining the role of emotional intelligence as a moderator for virtual communication and decision making effectiveness during the COVID-19 crisis: revisiting task technology fit theory. - Uma Warrier; Anand Shankar; H. M. Belal (Ann. Oper. Res., 2024)