EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm DD Chakladar, S Dey, PP Roy, DP Dogra Biomedical Signal Processing and Control 60, 101989, 2020 | 147 | 2020 |
EEG based emotion classification using “correlation based subset selection” DD Chakladar, S Chakraborty Biologically inspired cognitive architectures 24, 98-106, 2018 | 68 | 2018 |
Epileptic seizure prediction by the detection of seizure waveform from the pre-ictal phase of EEG signal SPS Khakon Das, DDChakladar, Partha Pratim Roy, Atri Chatterjee Biomedical Signal Processing and Control 57, 101720, 2020 | 67 | 2020 |
A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG DD Chakladar, P Kumar, PP Roy, DP Dogra, E Scheme, V Chang Information Fusion 71, 17-27, 2021 | 49 | 2021 |
Multimodal system for emotion recognition using EEG and customer review D Panda, DD Chakladar, T Dasgupta Proceedings of the global ai congress 2019, 399-410, 2020 | 25 | 2020 |
Multi-target way of cursor movement in brain computer interface using unsupervised learning DD Chakladar, S Chakraborty Biologically Inspired Cognitive Architectures 25, 88-100, 2018 | 23 | 2018 |
Feature extraction and classification in brain-computer interfacing: Future research issues and challenges DD Chakladar, S Chakraborty Natural computing for unsupervised learning, 101-131, 2019 | 22 | 2019 |
EEG-based cognitive state assessment using deep ensemble model and filter bank common spatial pattern DD Chakladar, S Dey, PP Roy, M Iwamura 2020 25th International Conference on Pattern Recognition (ICPR), 4107-4114, 2021 | 16 | 2021 |
Prediction of consumer preference for the bottom of the pyramid using EEG-based deep model D Panda, DD Chakladar, T Dasgupta International Journal of Computational Science and Engineering 24 (5), 439-449, 2021 | 16 | 2021 |
EEG-based cognitive state classification and analysis of brain dynamics using deep ensemble model and graphical brain network DD Chakladar, PP Roy, M Iwamura IEEE Transactions on Cognitive and Developmental Systems 14 (4), 1507-1519, 2021 | 14 | 2021 |
EEG Based Emotion Classification using Correlation Based Subset Selection, Biologically Inspired Cognitive Architectures (Cognitive Systems Research) DD Chakladar, S Chakraborty Elsevier 24, 98-106, 2018 | 14 | 2018 |
An EEG‐based neuro‐recommendation system for improving consumer purchase experience D Panda, DD Chakladar, S Rana, S Parayitam Journal of Consumer Behaviour 23 (1), 61-75, 2024 | 13 | 2024 |
Cognitive Workload Estimation Using Variational Autoencoder and Attention-Based Deep Model DD Chakladar, S Datta, PP Roy, VA Prasad IEEE Transactions on Cognitive and Developmental Systems 15 (2), 581-590, 2022 | 13 | 2022 |
Study and analysis of a fast moving cursor control in a multithreaded way in brain computer interface D Das Chakladar, S Chakraborty Computational Intelligence, Communications, and Business Analytics: First …, 2017 | 10 | 2017 |
3d avatar approach for continuous sign movement using speech/text DD Chakladar, P Kumar, S Mandal, PP Roy, M Iwamura, BG Kim Applied Sciences 11 (8), 3439, 2021 | 9 | 2021 |
Multi-target way of cursor movement in brain computer interface using unsupervised learning, Biologically Inspired Cognitive Architectures (Cognitive Systems Research) DD Chakladar, S Chakraborty Elsevier 25, 88-100, 2018 | 8 | 2018 |
Cognitive workload estimation using physiological measures: A review D Das Chakladar, PP Roy Cognitive Neurodynamics 18 (4), 1445-1465, 2024 | 5 | 2024 |
Multimodal deep sparse subspace clustering for multiple stimuli-based cognitive task DD Chakladar, D Samanta, PP Roy 2022 26th International Conference on Pattern Recognition (ICPR), 1098-1104, 2022 | 5 | 2022 |
Impact of packaging attributes in the classification of urban and rural bottom of the pyramid consumers D Panda, DD Chakladar, T Dasgupta Journal of Packaging Technology and Research, 1-10, 2022 | 4 | 2022 |
Assessment of income group based on features causing decision paralysis D Panda, DD Chakladar, T Dasgupta International Journal of Business Information Systems 42 (2), 210-223, 2023 | 3 | 2023 |