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P. Kaushik

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Faculty of Science and Engineering

Telephone:

+31 50 36 36533

E-mail:

p.kaushik rug.nl

ORCID Research Portal

Publications

Towards development of prediction models for depression using EEG data

Kaushik, P., 2024, [Groningen]: University of Groningen. 108 p.

Research output: Thesis › Thesis fully internal (DIV)

Comparing resting state and task-based EEG using machine learning to predict vulnerability to depression in a non-clinical population

Kaushik, P., Yang, H., Roy, P. P. & van Vugt, M., 8-May-2023, In: Scientific Reports. 13, 1, 12 p., 7467.

Research output: Contribution to journal › Article › Academic › peer-review

Motor Activity Recognition Using Eeg Data and Ensemble of Stacked BLSTM-LSTM Network and Transformer Model

Kaushik, P., Tripathi, I. & Roy, P. P., 10-Jun-2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 1-5 5 p. 10096697

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Understanding and predicting future relapse in depression from resting state functional connectivity and self-referential processing

van Kleef, R. S., Kaushik, P., Besten, M., Marsman, J. B. C., Bockting, C. L. H., van Vugt, M., Aleman, A. & van Tol, M. J., Sept-2023, In: Journal of Psychiatric Research. 165, p. 305-314 10 p.

Research output: Contribution to journal › Article › Academic › peer-review

Decoding the cognitive states of attention and distraction in a real-life setting using EEG

Kaushik, P., Moye, A., Vugt, M. V. & Roy, P. P., Dec-2022, In: Scientific Reports. 12, 1, 20649.

Research output: Contribution to journal › Article › Academic › peer-review

Decoding the Mental States of Focus and Distraction in a Real Life Setting of Tibetan Monastic Deabtes Using EEG and Machine Learning

Kaushik, P., van Vugt, M. & Roy, P. P., 2020, Proceedings of ICCM 2020 - 18th International Conference on Cognitive Modelling. Stewart, T. C. (ed.). Applied Cognitive Science Lab, Penn State, p. 128-131 4 p. (Proceedings of ICCM 2020 - 18th International Conference on Cognitive Modelling).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

EEG-based age and gender prediction using deep BLSTM-LSTM network model

Kaushik, P., Gupta, A., Roy, P. P. & Dogra, D. P., 1-Apr-2019, In: IEEE Sensors Journal. 19, 7, p. 2634-2641 8 p.

Research output: Contribution to journal › Article › Academic › peer-review

Multimodal Gait Recognition With Inertial Sensor Data and Video Using Evolutionary Algorithm

Kumar, P., Mukherjee, S., Saini, R., Kaushik, P., Roy, P. P. & Dogra, D. P., 1-May-2019, In: IEEE Transactions on Fuzzy Systems. 27, 5, p. 956-965 10 p., 8466612.

Research output: Contribution to journal › Article › Academic › peer-review

All (8) publications

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