Rakesh Veerabhadrappa

Orcid: 0000-0002-7653-2252

According to our database1, Rakesh Veerabhadrappa authored at least 12 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Evaluating Operator Training Performance Using Recurrence Quantification Analysis of Autocorrelation Transformed Eye Gaze Data.
Hum. Factors, March, 2024

2023
Physiological Synchrony Predict Task Performance and Negative Emotional State during a Three-Member Collaborative Task.
Sensors, February, 2023

2022
Gaze Convergence Based Collaborative Performance Prediction in a 3-Member Joint Activity Setting.
Proceedings of the IEEE International Systems Conference, 2022

Using Eye-tracking To Investigate The Effect of Gaze Co-occurrence and Distribution on Collaborative Performance.
Proceedings of the IEEE International Systems Conference, 2022

Physiological Compliance during a Three Member Collaborative Computer Task.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data.
Proceedings of the IEEE International Systems Conference, 2021

Performance Quantification and Heart Rate Analysis in A Repeated-trial Simulation-based Training Task.
Proceedings of the IEEE International Systems Conference, 2021

A Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Wavelet Packet Energy Features for EEG-Based Emotion Recognition.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
Robust Optimal Parameter Estimation (OPE) for Unsupervised Clustering of Spikes Using Neural Networks.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2017
Hierarchical estimation of neural activity through explicit identification of temporally synchronous spikes.
Neurocomputing, 2017

2015
Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015


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