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Dr. M. Thilaga
Dr. M. Thilaga
School of physical Sciences, Amrita Vishwa Vidyapeetham
Email confirmado em cb.amrita.edu
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Minimum connected component–a novel approach to detection of cognitive load induced changes in functional brain networks
R Vijayalakshmi, D Nandagopal, N Dasari, B Cocks, N Dahal, M Thilaga
Neurocomputing 170, 15-31, 2015
382015
Fp-graphminer-a fast frequent pattern mining algorithm for network graphs
R Vijayalakshmi, R Nadarajan, J Roddick, M Thilaga, P Nirmala
Journal of Graph Algorithms and Applications 15 (6), 753-776, 2011
362011
Breaking the Camel's Back: Can Cognitive Overload be Quantified in the Human Brain?
C Bernadine, N Nanda, R Vijayalakshmi, M Thilaga, D Naga, D Nabaraj
Procedia-Social and Behavioral Sciences 97, 21-29, 2013
172013
Change detection and visualization of functional brain networks using EEG data
R Vijayalakshmi, N Dasari, D Nandagopal, R Subhiksha, B Cocks, ...
Procedia Computer Science 29, 672-682, 2014
152014
Computational techniques for characterizing cognition using EEG data–new approaches
ND Nandagopal, R Vijayalakshmi, B Cocks, N Dahal, N Dasari, M Thilaga, ...
Procedia Computer Science 22, 699-708, 2013
152013
Shortest path based network analysis to characterize cognitive load states of human brain using EEG based functional brain networks
M Thilaga, V Ramasamy, R Nadarajan, D Nandagopal
Journal of integrative neuroscience 17 (2), 253-275, 2018
122018
A heuristic branch-and-bound based thresholding algorithm for unveiling cognitive activity from EEG data
M Thilaga, R Vijayalakshmi, R Nadarajan, D Nandagopal, B Cocks, ...
Neurocomputing 170, 32-46, 2015
112015
A novel approach for detection and elimination of automorphic graphs in graph databases
R Vijayalakshmi, R Nadarajan, P Nirmala, M Thilaga
Int. J. Open Problems Compt. Math 3 (1), 2010
92010
A novel pattern mining approach for identifying cognitive activity in EEG based functional brain networks
M Thilaga, R Vijayalakshmi, R Nadarajan, D Nandagopal
Journal of integrative neuroscience 15 (02), 223-245, 2016
82016
Performance monitoring of large communication networks using maximum common subgraphs
R Vijayalakshmi, R Nadarajan, P Nirmala, M Thilaga
International Journal of Artificial Intelligence 6 (S11), 72-86, 2011
62011
Computational neuroengineering approaches to characterise cognitive activity in EEG data
D Nandagopal, R Vijayalakshmi, B Cocks, N Dahal, N Dasari, M Thilaga
Knowledge-Based Information Systems in Practice, 115-137, 2015
52015
Characterisation of cognitive activity using minimum connected component
R Vijayalakshmi, D Nandagopal, M Thilaga, B Cocks
Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015
32015
A divisive clustering algorithm for performance monitoring of large networks using maximum common subgraphs
R Vijayalakshmi, R Nadarajan, P Nirmala, M Thilaga
Int J Artif Intell 7 (A11), 92-109, 2011
22011
Comparison of data-driven thresholding methods using directed functional brain networks
T Manickam, V Ramasamy, N Doraisamy
Reviews in the Neurosciences 36 (2), 119-138, 2025
12025
Quantification of Human Intelligence Using Principal Component Analysis
M Vel Vignesh, V Boolog, M Bagyalakshmi, M Thilaga
International Conference on Communication and Intelligent Systems, 225-237, 2023
12023
Impact of Negative Correlations in Characterizing Cognitive Load States Using EEG Based Functional Brain Networks
M Thilaga, R Vijayalakshmi, R Nadarajan, D Nandagopal
Computational Intelligence, Cyber Security and Computational Models. Models …, 2018
2018
Challenges in identifying cognitive activity using EEG based functional brain networks
M Thilaga, R Vijayalakshmi, R Nadarajan, D Nandagopal
Second Annual workshop on Computational Brain Research, IITMadras, 17-20, 2017
2017
“Brain Strain: How much is too much?”
M Cocks, B, Nandagopal, D, Vijayalakshmi, R, Dasari, N, Dahal, N, Thilaga
Journal of Educational Sciences and Psycology 4 (LXVI), 2014
2014
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