Pramod Gaur

According to our database, Pramod Gaur authored at least 11 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Logistic Regression With Tangent Space-Based Cross-Subject Learning for Enhancing Motor Imagery Classification.

Pramod Gaur, Anirban Chowdhury, Karl A. McCreadie, Ram Bilas Pachori, Hui Wang

IEEE Trans. Cogn. Dev. Syst., 2022

Deep hybrid learning for facial expression binary classifications and predictions.

Ram Krishn Mishra, Siddhaling Urolagin, J. Angel Arul Jothi, Pramod Gaur

Image Vis. Comput., 2022

EEG signal based seizure detection focused on Hjorth parameters from tunable-Q wavelet sub-bands.

Geetika Kaushik, Pramod Gaur, Rishi Raj Sharma, Ram Bilas Pachori

Biomed. Signal Process. Control., 2022

COVID-19 disease identification from chest CT images using empirical wavelet transformation and transfer learning.

Pramod Gaur, Vatsal Malaviya, Abhay Gupta, Gautam Bhatia, Ram Bilas Pachori, Divyesh Sharma

Biomed. Signal Process. Control., 2022

Privacy Protection Framework for Android.

Bharavi Mishra, Aastha Agarwal, Ayush Goel, Aman Ahmad Ansari, Pramod Gaur, Dilbag Singh, Heung-No Lee

IEEE Access, 2022

2021

A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI.

Pramod Gaur, Harsh Gupta, Anirban Chowdhury, Karl A. McCreadie, Ram Bilas Pachori, Hui Wang

IEEE Trans. Instrum. Meas., 2021

An automatic subject specific channel selection method for enhancing motor imagery classification in EEG-BCI using correlation.

Pramod Gaur, Karl A. McCreadie, Ram Bilas Pachori, Hui Wang, Girijesh Prasad

Biomed. Signal Process. Control., 2021

2019

Tangent Space Features-Based Transfer Learning Classification Model for Two-Class Motor Imagery Brain-Computer Interface.

Pramod Gaur, Karl A. McCreadie, Ram Bilas Pachori, Hui Wang, Girijesh Prasad

Int. J. Neural Syst., 2019

2018

Development of data-driven methods for non-stationary classification problems in EEG/MEG based brain-computer interfaces.

Pramod Gaur

PhD thesis, 2018

A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry.

Pramod Gaur, Ram Bilas Pachori, Hui Wang, Girijesh Prasad

Expert Syst. Appl., 2018

2015

An empirical mode decomposition based filtering method for classification of motor-imagery EEG signals for enhancing brain-computer interface.

Pramod Gaur, Ram Bilas Pachori, Hui Wang, Girijesh Prasad

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015