Kostas Michalopoulos

Orcid: 0000-0002-6653-8685

According to our database1, Kostas Michalopoulos authored at least 12 papers between 2009 and 2022.

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

Timeline

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Links

On csauthors.net:

Bibliography

2022
A New Multi-Resolution Approach to EEG Brain Modeling Using Local-Global Graphs and Stochastic Petri-Nets.
Int. J. Neural Syst., 2022

2019
Functional Connectivity Analysis of Cerebellum Using Spatially Constrained Spectral Clustering.
IEEE J. Biomed. Health Informatics, 2019

Seizure Detection using Common Spatial Patterns and Classification Techniques.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2017
Application of multiscale entropy on EEG signals for emotion detection.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
Classification of EEG Single Trial Microstates Using Local Global Graphs and Discrete Hidden Markov Models.
Int. J. Neural Syst., 2016

2015
Combining EEG Microstates with fMRI Structural Features for Modeling Brain Activity.
Int. J. Neural Syst., 2015

2014
Using Dynamic Bayesian Networks for modeling EEG topographic sequences.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Fusion of EEG Topograhic Features and fMRI Using Canonical Partial Least Squares.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

2013
Detecting texture paths and patterns in aerial images.
Proceedings of the 4th International Conference on Information, 2013

Microstate analysis of the EEG using local global graphs.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012
Decomposition and evaluation of activity in multiple event-related trials.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

2009
Decomposition Methods for Detailed Analysis of Content in ERP Recordings.
Proceedings of the Artificial Neural Networks, 2009


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