EEG-based age and gender prediction using deep BLSTM-LSTM network model P Kaushik, A Gupta, PP Roy, DP Dogra IEEE Sensors Journal 19 (7), 2634-2641, 2018 | 88 | 2018 |
Multimodal gait recognition with inertial sensor data and video using evolutionary algorithm P Kumar, S Mukherjee, R Saini, P Kaushik, PP Roy, DP Dogra IEEE Transactions on Fuzzy Systems 27 (5), 956-965, 2018 | 78 | 2018 |
Decoding the cognitive states of attention and distraction in a real-life setting using EEG P Kaushik, A Moye, M Vugt, PP Roy Scientific Reports 12 (1), 20649, 2022 | 21 | 2022 |
Comparing resting state and task-based EEG using machine learning to predict vulnerability to depression in a non-clinical population P Kaushik, H Yang, PP Roy, M van Vugt Scientific Reports 13 (1), 1-12, 2023 | 11 | 2023 |
Motor Activity Recognition Using Eeg Data and Ensemble of Stacked BLSTM-LSTM Network and Transformer Model P Kaushik, I Tripathi, PP Roy ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
Role of infrastructure and operation in disease prevalence in dairy farms: groundwork for disease prevention-based antibiotic stewardship H Singh, K Neha, R Kumar, P Kaushik, AK Singh, G Singh Preventive Veterinary Medicine, 106158, 2024 | 1 | 2024 |
Understanding and predicting future relapse in depression from resting state functional connectivity and self-referential processing RS van Kleef, P Kaushik, M Besten, JBC Marsman, CLH Bockting, ... Journal of Psychiatric Research, 2023 | 1 | 2023 |
Towards development of prediction models for depression using EEG data P Kaushik | | 2024 |
A Neural Network Model for Intrusion Detection Using a Game Theoretic Approach P Kaushik, K Dutta Advanced Informatics for Computing Research: First International Conference …, 2017 | | 2017 |