Praveen K. Parashiva

According to our database, Praveen K. Parashiva authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding.

Praveen K. Parashiva, Sagila Gangadaran, A. Prasad Vinod

CoRR, January, 2025

STESA-Net: A Hybrid Spatio-Temporal Self-Attentive Model for Attention-Inattention Classification from EEG.

Aswin Sekhar C. S, Praveen K. Parashiva, A. P. Vinod

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

EEGScaler: A Deep Learning Network to Scale EEG Electrode and Samples for Hand Motor Imagery Speed Decoding.

Praveen K. Parashiva, Sagila Gangadharan K., A. Prasad Vinod

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Enhancing Cross-Task Learning-based Multiclass Motor Imagery Classification in Brain Computer Interfaces using Conditional Domain Adversarial Network.

Devika K. M, Praveen K. Parashiva, A. Prasad Vinod

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Multi-direction Imagined Hand Movement Classification using EEG-based Brain Computer Interface.

Sagila Gangadharan K., Praveen K. Parashiva, A. Prasad Vinod

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

2023

Device Agnostic Measurement of Blood Pressure From RPPG Signals.

Praveen K. Parashiva, Rohit Damodaran, M. A. Kareem, Nikhil S. Narayan

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Improving direction decoding accuracy during online motor imagery based brain-computer interface using error-related potentials.

Praveen K. Parashiva, A. P. Vinod

Biomed. Signal Process. Control., 2022

2021

Single-trial detection of EEG error-related potentials using modified power-law transformation.

Praveen K. Parashiva, A. Prasad Vinod

Biomed. Signal Process. Control., 2021

Online Hand Motor Imagery Direction Decoding using Brain Computer Interface.

Praveen K. Parashiva, A. Prasad Vinod

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020

Improving Classification Accuracy of Detecting Error-Related Potentials using Two-stage Trained Neural Network Classifier.

Praveen K. Parashiva, A. Prasad Vinod

Proceedings of the 11th International Conference on Awareness Science and Technology, 2020

2019

A New Channel Selection Method using Autoencoder for Motor Imagery based Brain Computer Interface.

Praveen K. Parashiva, A. Prasad Vinod

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019