CSIR-Central Electronic Engineering Research Institute Pilani
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A review of clustering techniques and developments
A Saxena, M Prasad, A Gupta, N Bharill, OP Patel, A Tiwari, MJ Er, ...
Neurocomputing 267, 664-681, 2017
Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment
CTL Hesham El-Sayed, Sharmi Sankar, Mukesh Prasad, Deepak Puthal, Akshansh ...
IEEE Access, 2017
Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods
A Gupta, RK Agrawal, B Kaur
Soft Computing 19 (10), 2799-2812, 2015
Relevant feature selection from EEG signal for mental task classification
A Gupta, RK Agrawal
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 431-442, 2012
Fuzzy clustering-based feature extraction method for mental task classification
A Gupta, D Kumar
Brain informatics 4 (2), 135-145, 2017
A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree
H Verma, A Gupta, D Kumar
Pattern Recognition Letters 122, 45-52, 2019
On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI
MP Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu ...
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-13, 2019
A three phase approach for mental task classification using EEG
A Gupta, RK Agrawal, B Kaur
Proceedings of the International Conference on Advances in Computing …, 2012
A novel approach for extracting feature from eeg signal for mental task classification
A Gupta, JS Kirar
2015 International Conference on Computing and Network Communications …, 2015
Data-driven approach based on feature selection technique for early diagnosis of Alzheimer’s disease
S Thapa, P Singh, DK Jain, N Bharill, A Gupta, M Prasad
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
Voice navigation effects on real-world lane change driving analysis using an electroencephalogram
CT Lin, JT King, AK Singh, A Gupta, Z Ma, JW Lin, AMC Machado, ...
IEEE Access 6, 26483-26492, 2018
Performance Evaluation of Empirical Mode Decomposition Algorithms for Mental Task Classification
A Gupta, D Kumar, A Chakraborti, K Sharma
BioRxiv, 076646, 2017
A novel approach for classification of mental tasks using multiview ensemble learning (MEL)
A Gupta, RU Khan, VK Singh, M Tanveer, D Kumar, A Chakraborti, ...
Neurocomputing 417, 558-584, 2020
A hierarchical meta-model for multi-class mental task based brain-computer interfaces
A Gupta, RK Agrawal, JS Kirar, B Kaur, W Ding, CT Lin, J Andreu-Perez, ...
Neurocomputing 389, 207-217, 2020
Hurst Exponent as a New Ingredient to Parametric Feature Set for Mental Task Classification
A Gupta, D Kumar, A Chakraborti
Information and Decision Sciences, 129-137, 2018
A Two-Phase Approach for Semi-Supervised Feature Selection
A Saxena, S Pare, MS Meena, D Gupta, A Gupta, I Razzak, CT Lin, ...
Algorithms 13 (9), 215, 2020
Analysis of COVID-19 cases in India through Machine Learning: A Study of Intervention
H Verma, A Gupta, U Niranjan
arXiv preprint arXiv:2008.10450, 2020
Distinguishing Two Different Mental States of Human Thought Using Soft Computing Approaches
A Gupta, D Kumar, A Chakraborti, VK Singh
Machine Intelligence and Signal Analysis, 323-333, 2019
Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform
M Tanveer, A Gupta, D Kumar, S Priyadarshini, A Chakraborti, ...
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
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