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Kyriakos Sgarbas (Κυριάκος Σγάρμπας)
Kyriakos Sgarbas (Κυριάκος Σγάρμπας)
Assoc. Professor, Dept. of Electrical & Computer Engineering, University of Patras, Hellas (Greece)
Adresse e-mail validée de upatras.gr - Page d'accueil
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Functional connectivity analysis of mental fatigue reveals different network topological alterations between driving and vigilance tasks
GN Dimitrakopoulos, I Kakkos, Z Dai, H Wang, K Sgarbas, N Thakor, ...
IEEE transactions on neural systems and rehabilitation engineering 26 (4 …, 2018
952018
A contextual data mining approach toward assisting the treatment of anxiety disorders
TC Panagiotakopoulos, DP Lyras, M Livaditis, KN Sgarbas, ...
IEEE transactions on information technology in biomedicine 14 (3), 567-581, 2010
632010
A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker
VG Kanas, EI Zacharaki, C Davatzikos, KN Sgarbas, V Megalooikonomou
Biomedical Signal Processing and Control 22, 19-30, 2015
472015
Self-trained LMT for semisupervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Computational intelligence and neuroscience 2016, 10-10, 2016
442016
Two algorithms for incremental construction of directed acyclic word graphs
KN Sgarbas, ND Fakotakis, GK Kokkinakis
International Journal on Artificial Intelligence Tools 4, 369-382, 1995
391995
Handwritten word recognition based on structural characteristics and lexical support
E Kavallieratou, K Sgarbas, N Fakotakis, G Kokkinakis
Seventh International Conference on Document Analysis and Recognition, 2003 …, 2003
382003
A PC-KIMMO-based morphological description of Modern Greek
K Sgarbas, N Fakotakis, G Kokkinakis
Literary and Linguistic Computing 10 (3), 189-201, 1995
361995
Pathway analysis using XGBoost classification in Biomedical Data
GN Dimitrakopoulos, AG Vrahatis, V Plagianakos, K Sgarbas
Proceedings of the 10th Hellenic conference on artificial intelligence, 1-6, 2018
332018
A straightforward approach to morphological analysis and synthesis
KN Sgarbas, ND Fakotakis, GK Kokkinakis
arXiv preprint cs/0112010, 2001
312001
Joint spatial-spectral feature space clustering for speech activity detection from ECoG signals
VG Kanas, I Mporas, HL Benz, KN Sgarbas, A Bezerianos, NE Crone
IEEE Transactions on Biomedical Engineering 61 (4), 1241-1250, 2014
292014
Using the levenshtein edit distance for automatic lemmatization: A case study for modern greek and english
DP Lyras, KN Sgarbas, ND Fakotakis
19th IEEE international conference on tools with artificial intelligence …, 2007
252007
The Road to Quantum Artificial Intelligence
KN Sgarbas
PCI 2007, 11th Panhellenic Conference on Informatics, 2007
232007
Dynamic Gene Network Reconstruction from gene expression data in mice after Influenza A (H1N1) infection
K Dimitrakopoulou, C Tsimpouris, G Papadopoulos, C Pommerenke, ...
Journal of Clinical Bioinformatics 1 (1), 27, 2011
222011
Tamoxifen integromics and personalized medicine: dynamic modular transformations underpinning response to tamoxifen in breast cancer treatment
K Dimitrakopoulou, GN Dimitrakopoulos, KN Sgarbas, A Bezerianos
Omics: a journal of integrative biology 18 (1), 15-33, 2014
202014
Optimal insertion in deterministic DAWGs
KN Sgarbas, ND Fakotakis, GK Kokkinakis
Theoretical Computer Science 301 (1-3), 103-117, 2003
202003
Incremental construction of compact acyclic NFAs
KN Sgarbas, ND Fakotakis, GK Kokkinakis
Proceedings of the 39th Annual Meeting on Association for Computational …, 2001
192001
Real-time voice activity detection for ECoG-based speech brain machine interfaces
VG Kanas, I Mporas, HL Benz, KN Sgarbas, A Bezerianos, NE Crone
2014 19th International Conference on Digital Signal Processing, 862-865, 2014
182014
Teaching introduction to computing through a project-based collaborative learning approach
N Avouris, S Kaxiras, O Koufopavlou, K Sgarbas, P Stathopoulou
2010 14th Panhellenic Conference on Informatics, 237-241, 2010
172010
Speaker identification using semi-supervised learning
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Speech and Computer: 17th International Conference, SPECOM 2015, Athens …, 2015
152015
A multi-scheme semi-supervised regression approach
N Fazakis, S Karlos, S Kotsiantis, K Sgarbas
Pattern Recognition Letters 125, 758-765, 2019
142019
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