M. Thilaga

发表

Computational Neuroengineering Approaches to Characterise Cognitive Activity in EEG Data

D. Nandagopal, Ramasamy Vijayalakshmi, Bernie Cocks, 2015 .

Characterisation of Cognitive Activity Using Minimum Connected Component

D. Nandagopal, Ramasamy Vijayalakshmi, Bernie Cocks, 2015, ICONIP.

Performance Monitoring of Large Communication Networks using Maximum Common Subgraphs

M. Thilaga, R. Nadarajan, Ramasamy Vijayalakshmi, 2011 .

Minimum connected component - A novel approach to detection of cognitive load induced changes in functional brain networks

Ramasamy Vijayalakshmi, Bernie Cocks, Nabaraj Dahal, 2015, Neurocomputing.

Impact of Negative Correlations in Characterizing Cognitive Load States Using EEG Based Functional Brain Networks

D. Nandagopal, M. Thilaga, Ramasamy Vijayalakshmi, 2017 .

A heuristic branch-and-bound based thresholding algorithm for unveiling cognitive activity from EEG data

Ramasamy Vijayalakshmi, Bernie Cocks, Nabaraj Dahal, 2015, Neurocomputing.

Knowledge Based and Intelligent Information and Engineering Systems-KES 2013 Computational Techniques for Characterizing Cognition using EEG Data-New Approaches

Ramasamy Vijayalakshmi, Bernie Cocks, Nabaraj Dahal, 2013 .

Change Detection and Visualization of Functional Brain Networks using EEG Data

Ramasamy Vijayalakshmi, Bernie Cocks, Nabaraj Dahal, 2014, ICCS.

Journal of Graph Algorithms and Applications Fp-graphminer – a Fast Frequent Pattern Mining Algorithm for Network Graphs

John F. Roddick, Ramasamy Vijayalakshmi, M. Thilaga, 2022 .

Breaking the Camel's Back: Can Cognitive Overload be Quantified in the Human Brain?☆

Ramasamy Vijayalakshmi, M. Thilaga, Cocks Bernadine, 2013 .