K. Sgarbas

发表

Functional Connectivity Analysis of Mental Fatigue Reveals Different Network Topological Alterations Between Driving and Vigilance Tasks

Nitish Thakor, Kyriakos Sgarbas, Anastasios Bezerianos, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

A Layered , Transducer-Based Model for Speech and Language Processing

G. Kokkinakis, N. Fakotakis, Kallirroi Georgila, 2003 .

Natural Language in Dialogue Systems . A Case Study on a Medical Application

Kyriakos Sgarbas, Nikos Fakotakis, Manolis Maragoudakis, 2001 .

Human-Computer Interaction using Natural Language . An Application in the Medical Treatment Domain

K. Sgarbas, M. Maragoudakis, Basilis Kladis, 2001 .

Time-Varying Parametric Modeling of ECoG for Syllable Decoding

Anastasios Bezerianos, Iosif Mporas, Kyriakos N. Sgarbas, 2015, BIH.

Optimal selection of electrocorticographic sensors for voice activity detection

Anastasios Bezerianos, Iosif Mporas, Kyriakos N. Sgarbas, 2014, 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV).

Real-time voice activity detection for ECoG-based speech brain machine interfaces

Anastasios Bezerianos, Iosif Mporas, Kyriakos N. Sgarbas, 2014, 2014 19th International Conference on Digital Signal Processing.

Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals

Anastasios Bezerianos, Iosif Mporas, Kyriakos N. Sgarbas, 2014, IEEE Transactions on Biomedical Engineering.

Voice Activity Detection from Electrocorticographic Signals

Nitish V. Thakor, Anastasios Bezerianos, Iosif Mporas, 2014 .

Driving Mental Fatigue Classification Based on Brain Functional Connectivity

Yu Sun, Anastasios Bezerianos, Junhua Li, 2017, EANN.

A Semi-supervised regressor based on model trees

Nikos Fazakis, Kyriakos N. Sgarbas, Stamatis Karlos, 2018, SETN.

Dynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection

Klaus Schughart, Anastasios Bezerianos, George Papadopoulos, 2011, Journal of Clinical Bioinformatics.

Pathway analysis using XGBoost classification in Biomedical Data

Vassilis P. Plagianakos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, 2018, SETN.

A Contextual Data Mining Approach Toward Assisting the Treatment of Anxiety Disorders

George C. Anastassopoulos, Dimitrios P. Lyras, Kyriakos N. Sgarbas, 2010, IEEE Transactions on Information Technology in Biomedicine.

EDUCATIONAL SOFTWARE EVALUATION : A STUDY FROM AN EDUCATIONAL DATA MINING PERSPECTIVE

Dimitrios P. Lyras, Kyriakos N. Sgarbas, Dimitrios K. Lymberopoulos, 2014 .

TEMPO: A Temporal Sub-Parser for Modern Greek

Nikos Fakotakis, Kyriakos N. Sgarbas, George K. Kokkinakis, 1998, Int. J. Artif. Intell. Tools.

Domain knowledge acquisition and plan recognition by probabilistic reasoning

Nikos Fakotakis, Kyriakos N. Sgarbas, Manolis Maragoudakis, 2003, Int. J. Artif. Intell. Tools.

Self-Trained LMT for Semisupervised Learning

Sotiris B. Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas, 2015, Comput. Intell. Neurosci..

A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker

Christos Davatzikos, Evangelia I. Zacharaki, Vasileios Megalooikonomou, 2015, Biomed. Signal Process. Control..

Combining Outlier Detection with Random Walker for Automatic Brain Tumor Segmentation

Christos Davatzikos, Evangelia I. Zacharaki, Anastasios Bezerianos, 2012, AIAI.

Bayesian Retrieval using a Similarity-Based Lemmatizer

Dimitrios P. Lyras, Kyriakos N. Sgarbas, Manolis Maragoudakis, 2012, Int. J. Artif. Intell. Tools.

A multi-scheme semi-supervised regression approach

Nikos Fazakis, Kyriakos N. Sgarbas, Stamatis Karlos, 2019, Pattern Recognit. Lett..

Nikos Fakotakis, Dimitrios P. Lyras, Kyriakos N. Sgarbas, 2008, Int. J. Artif. Intell. Tools.

Supervised method for construction of microRNA-mRNA networks: Application in cardiac tissue aging dataset

Anastasios Bezerianos, Kyriakos N. Sgarbas, Ioannis A. Maraziotis, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Influenza A immunomics and public health omics: the dynamic pathway interplay in host response to H1N1 infection.

Klaus Schughart, Anastasios Bezerianos, Konstantina Dimitrakopoulou, 2014, Omics : a journal of integrative biology.

On the development of brain quantum-computer interfaces

Kyriakos N. Sgarbas, Vasileios G. Kanas, Olga Karamitrou, 2014, 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV).

A Web-Based Quantum Computer Simulator with Symbolic Extensions

Kyriakos N. Sgarbas, O. G. Karamitrou, C. Tsimpouris, 2015 .

The Road to Quantum Artificial Intelligence pdf

Kyriakos N. Sgarbas, K. Sgarbas, 2007, ArXiv.

Detection of Dialogue Acts Using Perplexity-Based Word Clustering

Nikos Fakotakis, Iosif Mporas, Dimitrios P. Lyras, 2007, TSD.

Tamoxifen integromics and personalized medicine: dynamic modular transformations underpinning response to tamoxifen in breast cancer treatment.

Anastasios Bezerianos, Konstantina Dimitrakopoulou, Georgios N Dimitrakopoulos, 2014, Omics : a journal of integrative biology.

Teaching Introduction to Computing Through a Project-Based Collaborative Learning Approach

Stefanos Kaxiras, Odysseas G. Koufopavlou, Nikolaos M. Avouris, 2010, 2010 14th Panhellenic Conference on Informatics.

A Speech-Based Human-Computer Interaction System for Automating Directory Assistance Services

Kallirroi Georgila, Nikos Fakotakis, Kyriakos N. Sgarbas, 2003, Int. J. Speech Technol..

Spatio-spectral analysis of ECoG signals during voice activity

Anastasios Bezerianos, Iosif Mporas, Kyriakos N. Sgarbas, 2013, 13th IEEE International Conference on BioInformatics and BioEngineering.

Effectiveness of semi-supervised learning in bankruptcy prediction

Nikos Fazakis, Kyriakos N. Sgarbas, Stamatis Karlos, 2016, 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA).

Review of quantum computing: a gentle introduction by Eleanor Rieffel and Wolfgang Polak

Kyriakos N. Sgarbas, K. Sgarbas, 2013, SIGA.

Self-Trained Stacking Model for Semi-Supervised Learning

Nikos Fazakis, Kyriakos N. Sgarbas, Stamatis Karlos, 2017, Int. J. Artif. Intell. Tools.

Analysis of lexical ambiguity in Modern Greek using a computational lexicon

K. Sgarbas, C. Tsalidis, P. Gakis, 2015, Digit. Scholarsh. Humanit..

Identifying disease network perturbations through regression on gene expression and pathway topology analysis

Anastasios Bezerianos, Aristidis G. Vrahatis, Kyriakos N. Sgarbas, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Clustering based Method Accelerating Gene Regulatory Network Reconstruction

George Dimitrakopoulos, Anastasios Bezerianos, Kyriakos N. Sgarbas, 2014, ICCS.

Speaker Identification Using Semi-supervised Learning

Sotiris B. Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas, 2015, SPECOM.

Revealing the dynamic modularity of composite biological networks in breast cancer treatment

Evangelia I. Zacharaki, George Dimitrakopoulos, Anastasios Bezerianos, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Semisupervised Cascade Classification Algorithm

Sotiris B. Kotsiantis, Nikos Fazakis, Kyriakos N. Sgarbas, 2016, Appl. Comput. Intell. Soft Comput..

Incremental Construction of Compact Acyclic NFAs

Nikos Fakotakis, Kyriakos N. Sgarbas, George K. Kokkinakis, 2001, ACL.

Optimal insertion in deterministic DAWGs

Nikos Fakotakis, Kyriakos N. Sgarbas, George K. Kokkinakis, 2003, Theor. Comput. Sci..

State of the Art Analysis of Resource Allocation Techniques in 5G MIMO Networks

K. Sgarbas, A. Gkamas, Nicos Protopapas, 2023, 2023 International Conference on Information Networking (ICOIN).

Multi-scale modeling of gene regulatory networks via integration of temporal and topological biological data

George Dimitrakopoulos, Anastasios Bezerianos, Kyriakos N. Sgarbas, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.