| CWT based transfer learning for motor imagery classification for brain computer interfaces P Kant, SH Laskar, J Hazarika, R Mahamune Journal of Neuroscience Methods 345, 108886, 2020 | 99 | 2020 |
| Neural correlates of action video game experience in a visuospatial working memory task J Hazarika, R Dasgupta Neural Computing and Applications 32 (8), 3431-3440, 2020 | 22 | 2020 |
| Wavelet transform based approach for EEG feature selection of motor imagery data for braincomputer interfaces P Kant, J Hazarika, SH Laskar 2019 Third International Conference on Inventive Systems and Control (ICISC …, 2019 | 21 | 2019 |
| Neural modulation in action video game players during inhibitory control function: an EEG study using discrete wavelet transform J Hazarika, P Kant, R Dasgupta, SH Laskar Biomedical Signal Processing and Control 45, 144-150, 2018 | 21 | 2018 |
| Selection of appropriate statistical features of EEG signals for detection of Parkinson’s disease R Haloi, J Hazarika, D Chanda 2020 International Conference on Computational Performance Evaluation (ComPE …, 2020 | 8 | 2020 |
| EEG Wavelet Coherence Based Analysis of Neural Connectivity in Action Video Game Players in Attention Inhibition and Short-term Memory-retention Task J Hazarika, P Kant, R Dasgupta, SH Laskar Recent Advances in Electrical & Electronic Engineering (Formerly Recent …, 2019 | 4 | 2019 |
| Selection of an appropriate denoising technique for EEG signals of Parkinson’s disease patients R Haloi, D Chanda, J Hazarika 2019 2nd International Conference on Innovations in Electronics, Signal …, 2019 | 4 | 2019 |
| Transfer learning-based EEG analysis of visual attention and working memory on motor cortex for BCI P Kant, SH Laskar, J Hazarika Neural Computing and Applications 34 (22), 20179-20190, 2022 | 3 | 2022 |
| Wavelet Based De-noising of EEG Signal Acquired from Tele-serial Addicted Persons D Nath, MJ Singh, S Sahoo, J Hazarika 2019 3rd International Conference on Recent Developments in Control …, 2019 | 3 | 2019 |
| Feature selection for attention demanding task induced EEG detection V Raj, J Hazarika, R Hazra 2020 IEEE Applied Signal Processing Conference (ASPCON), 11-15, 2020 | 2 | 2020 |
| Statistical feature-based EEG signals classification using ANN and SVM classifiers for Parkinson’s disease detection R Haloi, D Chanda, J Hazarika, AK Barman | 2 | |
| Eye-Blink Artifact Removal from EEG Signal using Machine Learning and De-noising Techniques M Faisal, S Sahoo, J Hazarika 2023 International Conference on Communication, Circuits, and Systems (IC3S …, 2023 | 1 | 2023 |
| A Comparative Study between Supervised and Unsupervised Techniques for Two Class Emotion Recognition using EEG P Kar, J Hazarika, MR Sethi 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), 1-6, 2023 | 1 | 2023 |
| A comparative analysis of EMG signals of the healthy, myopathy, and low back pain patients NJ Boro, K Shankar, J Hazarika 2022 2nd International Conference on Emerging Frontiers in Electrical and …, 2022 | 1 | 2022 |
| Classification techniques for binary motor imagery signal for brain-computer interfaces P Kant, SH Laskar, J Hazarika Recent Trends in Electronics and Communication: Select Proceedings of VCAS …, 2022 | 1 | 2022 |
| An Efficacy Analysis of Affect Representation Methodologies Used in EEG-Based Emotion Recognition System: An Unsupervised Approach P Kar, J Hazarika International Journal of Human–Computer Interaction, 1-17, 2023 | | 2023 |
| Assessment of Visual Stress Using EEG Signals DJ Buragohain, J Hazarika, K Shankar Machine Intelligence Techniques for Data Analysis and Signal Processing …, 2023 | | 2023 |
| Validation of Affect representation models using EEG: An unsupervised approach P Kar, J Hazarika | | 2023 |
| Analyzing the resting-state EEG of action video game players using Wavelet Transform J Hazarika 2019 3rd International Conference on Recent Developments in Control …, 2019 | | 2019 |
| CWT Filter-bank Based Transfer Learning Approach for Motor Imagery Classification P Kant, SH Laskar, J Hazarika, R Mahamune | | |
