|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