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ORCIDGeorge K. Georgoulas
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2020 – today
- 2022
[c47]Emmanouil Gionanidis, Petros S. Karvelis, George K. Georgoulas, Konstantinos Stamos, Purvi Garg:
Evaluating Text Augmentation for Boosting the Automatic Mapping of Vulnerability Information to Adversary Techniques. SecDev 2022: 23-29- 2021
- [j14]George K. Georgoulas, Petros S. Karvelis
, Václav Chudácek, Jirí Spilka, Miroslav Bursa, Lenka Lhotská, Chrysostomos D. Stylios, George Nikolakopoulos:
An exploratory approach to fetal heart rate-pH-based systems. Signal Image Video Process. 15(1): 43-51 (2021) - [c46]Lamprini Pappa, Petros S. Karvelis, George K. Georgoulas, Chrysostomos D. Stylios:
Slopewise Aggregate Approximation SAX: keeping the trend of a time series. SSCI 2021: 1-8 - 2020
- [c45]Lamprini Pappa, Petros S. Karvelis, George K. Georgoulas, Chrysostomos D. Stylios:
Multichannel Symbolic Aggregate Approximation Intelligent Icons: Application for Activity Recognition. SSCI 2020: 505-512
2010 – 2019
- 2019
- [c44]Ioannis P. Tsoumas, George K. Georgoulas, Jose A. Antonino-Daviu:
Analytical Investigation of the Transient Switch-On Current of Direct-On-Line Induction Motors. IECON 2019: 3667-3672 - [c43]Petros S. Karvelis, Stefanos Petsios, George K. Georgoulas, Chrysostomos D. Stylios:
Short Time Wind Forecasting with Uncertainty. IISA 2019: 1-4 - [i1]Sina Sharif Mansouri, Pantelis Sopasakis, George K. Georgoulas, Thomas Gustafsson, George Nikolakopoulos:
Visual Area Coverage with Attitude-Dependent Camera Footprints by Particle Harvesting. CoRR abs/1909.04331 (2019) - 2018
- [c42]George K. Georgoulas, Petros S. Karvelis, Chrysostomos D. Stylios, Lucia Frosini, Ioannis P. Tsoumas:
Exploring the Detectability of Short-Circuit Faults in Inverter-Fed Induction Motors. IECON 2018: 5930-5935 - [c41]Petros S. Karvelis, Dimitris Gavrilis, George K. Georgoulas, Chrysostomos D. Stylios:
Topic recommendation using Doc2Vec. IJCNN 2018: 1-6 - [c40]Sina Sharif Mansouri, Christoforos Kanellakis, George K. Georgoulas, George Nikolakopoulos:
Towards MAV Navigation in Underground Mine Using Deep Learning. ROBIO 2018: 880-885 - 2017
- [j13]George K. Georgoulas, Vicente Climente-Alarcon, Jose A. Antonino-Daviu, Ioannis P. Tsoumas, Chrysostomos D. Stylios, Antero Arkkio, George Nikolakopoulos:
The Use of a Multilabel Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults Based on the Start-Up Transient. IEEE Trans. Ind. Informatics 13(2): 625-634 (2017) - [c39]George K. Georgoulas, Petros S. Karvelis, Dimitris Gavrilis, Chrysostomos D. Stylios, George Nikolakopoulos:
An ordinal classification approach for CTG categorization. EMBC 2017: 2642-2645 - [c38]Michael Balchanos, Dimitri Mavris, Douglas W. Brown, George K. Georgoulas, George J. Vachtsevanos:
Incipient failure detection: A particle filtering approach with application to actuator systems. ICCA 2017: 64-69 - [c37]Petros S. Karvelis, Ulrik Röijezon, Ragnar Faleij, George K. Georgoulas, Sina Sharif Mansouri, George Nikolakopoulos:
A laser dot tracking method for the assessment of sensorimotor function of the hand. MED 2017: 217-222 - [c36]Sina Sharif Mansouri, George K. Georgoulas, Thomas Gustafsson, George Nikolakopoulos:
On the covering of a polygonal region with fixed size rectangles with an application towards aerial inspection. MED 2017: 1219-1224 - [c35]Domagoj Herceg, George K. Georgoulas, Pantelis Sopasakis, Miguel Castano, Panagiotis Patrinos, Alberto Bemporad, Jan Niemi, George Nikolakopoulos:
Data-driven modelling, learning and stochastic predictive control for the steel industry. MED 2017: 1361-1366 - [c34]Ephraim Goldin, Dan Feldman, George K. Georgoulas, Miguel Castaño, George Nikolakopoulos:
Cloud computing for big data analytics in the Process Control Industry. MED 2017: 1373-1378 - [c33]Petros S. Karvelis, Stavros Kolios, George K. Georgoulas, Chrysostomos D. Stylios:
Ensemble learning for forecasting main meteorological parameters. SMC 2017: 3711-3714 - 2016
- [c32]Dimitris Gavrilis, George K. Georgoulas, Nikolaos Vasiloglou, George Nikolakopoulos:
An intelligent assistant for physicians. EMBC 2016: 2586-2589 - [c31]George K. Georgoulas, George Nikolakopoulos:
Bearing fault detection and diagnosis by fusing vibration data. IECON 2016: 6955-6960 - [c30]George K. Georgoulas, Vicente Climente-Alarcon, Jose A. Antonino-Daviu, Chrysostomos D. Stylios, Antero Arkkio, George Nikolakopoulos:
A multi-label classification approach for the detection of broken bars and mixed eccentricity faults using the start-up transient. INDIN 2016: 430-433 - [c29]George K. Georgoulas, Stavros Kolios, Petros S. Karvelis, Chrysostomos D. Stylios:
Examining nominal and ordinal classifiers for forecasting wind speed. IEEE Conf. on Intelligent Systems 2016: 504-509 - [c28]Petros S. Karvelis, George K. Georgoulas, Jacqueline A. Fairley, Chrysostomos D. Stylios, David B. Rye, Donald L. Bliwise:
Towards a fully automated tool for annotation of phasic electromyographic activity. MED 2016: 327-331 - [c27]George J. Vachtsevanos, George K. Georgoulas, George Nikolakopoulos:
Fault diagnosis, failure prognosis and fault tolerant control of aerospace/unmanned aerial systems. MED 2016: 366-371 - [c26]George K. Georgoulas, Vicente Climente-Alarcon, Leonidas Dritsas, Jose A. Antonino-Daviu, George Nikolakopoulos:
Start-up analysis methods for the diagnosis of rotor asymmetries in induction motors-seeing is believing. MED 2016: 372-377 - 2015
- [j12]Maria Pia Fanti, Giorgio Iacobellis, Walter Ukovich, Valentina Boschian, George K. Georgoulas, Chrysostomos D. Stylios:
A simulation based Decision Support System for logistics management. J. Comput. Sci. 10: 86-96 (2015) - [j11]Petros S. Karvelis, George K. Georgoulas, Ioannis P. Tsoumas, Jose Alfonso Antonino-Daviu, Vicente Climente-Alarcon, Chrysostomos D. Stylios:
A Symbolic Representation Approach for the Diagnosis of Broken Rotor Bars in Induction Motors. IEEE Trans. Ind. Informatics 11(5): 1028-1037 (2015) - [c25]Dimitris Gavrilis, George Nikolakopoulos, George K. Georgoulas:
A one-class approach to cardiotocogram assessment. EMBC 2015: 518-521 - [c24]Petros S. Karvelis, George K. Georgoulas, Chrysostomos D. Stylios, Ioannis P. Tsoumas, Jose Alfonso Antonino-Daviu, Jesús A. Corral-Hernández, Vicente Climente-Alarcon, George Nikolakopoulos:
Symbolic time series analysis of the soft starting transient in induction machines. ICIT 2015: 3243-3248 - [c23]George K. Georgoulas, Petros S. Karvelis, Chrysostomos D. Stylios, Ioannis P. Tsoumas, Jose Alfonso Antonino-Daviu, Jesús A. Corral-Hernández, Vicente Climente-Alarcon, George Nikolakopoulos:
Automatizing the detection of rotor failures in induction motors operated via soft-starters. IECON 2015: 3743-3748 - [c22]Mohammed Obaid Mustafa, George Nikolakopoulos, George K. Georgoulas:
Fault classification of broken rotor bars in induction motors based on envelope current analysis. INDIN 2015: 795-800 - 2014
- [j10]Jacqueline Fairley, George K. Georgoulas, Otis L. Smart, George Dimakopoulos, Petros S. Karvelis, Chrysostomos D. Stylios, David B. Rye, Donald L. Bliwise:
Wavelet analysis for detection of phasic electromyographic activity in sleep: Influence of mother wavelet and dimensionality reduction. Comput. Biol. Medicine 48: 77-84 (2014) - [j9]George K. Georgoulas, Ioannis P. Tsoumas, Jose Alfonso Antonino-Daviu, Vicente Climente-Alarcon, Chrysostomos D. Stylios, Epaminondas D. Mitronikas, Athanasios N. Safacas:
Automatic Pattern Identification Based on the Complex Empirical Mode Decomposition of the Startup Current for the Diagnosis of Rotor Asymmetries in Asynchronous Machines. IEEE Trans. Ind. Electron. 61(9): 4937-4946 (2014) - [c21]George K. Georgoulas, Jirí Spilka, Petros S. Karvelis, Václav Chudácek, Chrysostomos D. Stylios, Lenka Lhotská:
A three class treatment of the FHR classification problem using latent class analysis labeling. EMBC 2014: 46-49 - [c20]Petros S. Karvelis, George K. Georgoulas, Chrysostomos D. Stylios, Ioannis P. Tsoumas, Jose Alfonso Antonino-Daviu, Maria Jose Picazo Rodenas, Vicente Climente-Alarcon:
An automated thermographic image segmentation method for induction motor fault diagnosis. IECON 2014: 3396-3402 - [c19]Mohammed Obaid Mustafa, George K. Georgoulas, George Nikolakopoulos:
Principal component analysis anomaly detector for rotor broken bars. IECON 2014: 3462-3467 - [c18]Jirí Spilka, George K. Georgoulas, Petros S. Karvelis, Václav Chudácek, Chrysostomos D. Stylios, Lenka Lhotská:
Discriminating Normal from "Abnormal" Pregnancy Cases Using an Automated FHR Evaluation Method. SETN 2014: 521-531 - [c17]Petros S. Karvelis, Jacqueline Fairley, George K. Georgoulas, Chrysostomos D. Stylios, David B. Rye, Donald L. Bliwise:
Semi-Automated Annotation of Phasic Electromyographic Activity. SETN 2014: 532-543 - 2013
- [j8]George K. Georgoulas, Antonios Konstantaras, Emmanuel Katsifarakis, Chrysostomos D. Stylios, Emmanuel Maravelakis, George J. Vachtsevanos:
"Seismic-mass" density-based algorithm for spatio-temporal clustering. Expert Syst. Appl. 40(10): 4183-4189 (2013) - [j7]George K. Georgoulas, Mohammed Obaid Mustafa, Ioannis P. Tsoumas, Jose Alfonso Antonino-Daviu, Vicente Climente-Alarcon, Chrysostomos D. Stylios, George Nikolakopoulos:
Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines. Expert Syst. Appl. 40(17): 7024-7033 (2013) - [c16]Mohammed Obaid Mustafa, George K. Georgoulas, George Nikolakopoulos:
Bearing fault classification based on Minimum Volume Ellipsoid feature extraction. CCA 2013: 1177-1182 - [c15]Petros S. Karvelis, Ioannis P. Tsoumas, George K. Georgoulas, Chrysostomos D. Stylios, Jose Alfonso Antonino-Daviu, Vicente Climente-Alarcon:
An intelligent icons approach for rotor bar fault detection. IECON 2013: 5526-5531 - [c14]Jose Alfonso Antonino-Daviu, Vicente Climente-Alarcon, Ioannis P. Tsoumas, George K. Georgoulas, Rafael B. Pérez:
Multi-harmonic tracking for diagnosis of rotor asymmetries in wound rotor induction motors. IECON 2013: 5555-5560 - [c13]Jirí Spilka, George K. Georgoulas, Petros S. Karvelis, Vangelis P. Oikonomou, Václav Chudácek, Chrysostomos D. Stylios, Lenka Lhotská, Petr Janku:
Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database. ITBAM 2013: 47-61 - [c12]Kilsoo Kim, Young-Ki Lee, Sehwan Oh, David Moroniti, Dimitri Mavris, George J. Vachtsevanos, Nikos Papamarkos, George K. Georgoulas:
Guidance, navigation, and control of an unmanned hovercraft. MED 2013: 380-387 - 2012
- [j6]Jirí Spilka, Václav Chudácek, Michal Koucký, Lenka Lhotská, Michal Huptych, Petr Janku, George K. Georgoulas, Chrysostomos D. Stylios:
Using nonlinear features for fetal heart rate classification. Biomed. Signal Process. Control. 7(4): 350-357 (2012) - [j5]Jacqueline Fairley, George K. Georgoulas, Nishant A. Mehta, Alexander G. Gray, Donald L. Bliwise:
Computer detection approaches for the identification of phasic electromyographic (EMG) activity during human sleep. Biomed. Signal Process. Control. 7(6): 606-615 (2012) - [c11]Grigoris S. Piperagkas, George K. Georgoulas, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Aristidis Likas:
Integrating particle swarm optimization with reinforcement learning in noisy problems. GECCO 2012: 65-72 - 2011
- [j4]Otis Smart, Ioannis G. Tsoulos, Dimitris Gavrilis, George K. Georgoulas:
Grammatical evolution for features of epileptic oscillations in clinical intracranial electroencephalograms. Expert Syst. Appl. 38(8): 9991-9999 (2011) - [c10]Chrysostomos D. Stylios, George K. Georgoulas:
Modeling complex logistics systems using soft computing methodology of Fuzzy Cognitive Maps. CASE 2011: 72-77 - 2010
- [c9]Jacqueline Fairley, George K. Georgoulas, Chrysostomos D. Stylios, David B. Rye:
A Hybrid Approach for Artifact Detection in EEG Data. ICANN (1) 2010: 436-441 - [c8]Václav Chudácek, Jirí Spilka, Michal Huptych, George K. Georgoulas, Petr Janku, Michal Koucký, Chrysostomos D. Stylios, Lenka Lhotská:
Automatic Classification of Intrapartal Fetal Heart-Rate Recordings - Can It Compete with Experts? ITBAM 2010: 57-66
2000 – 2009
- 2009
- [c7]Václav Chudácek, George K. Georgoulas, Michal Huptych, Chrysostomos D. Stylios, Lenka Lhotská:
Discriminating between V and N Beats from ECGs Introducing an Integrated Reduced Representation along with a Neural Network Classifier. ICANN (2) 2009: 485-494 - [c6]George K. Georgoulas, Voula C. Georgopoulos, George Stylios, Chrysostomos D. Stylios:
Detection of articulation disorders using Empirical Mode Decomposition and neural networks. IJCNN 2009: 959-964 - [c5]Vassilios A. Kappatos, George K. Georgoulas, Chrysostomos D. Stylios, Evangelos Dermatas:
Evolutionary dimensionality reduction for crack localization in ship structures using a hybrid computational intelligent approach. IJCNN 2009: 1531-1538 - 2007
- [j3]George K. Georgoulas, Dimitris Gavrilis, Ioannis G. Tsoulos, Chrysostomos D. Stylios, João Bernardes, Peter P. Groumpos:
Novel approach for fetal heart rate classification introducing grammatical evolution. Biomed. Signal Process. Control. 2(2): 69-79 (2007) - [c4]Lauren Burrell, Otis Smart, George K. Georgoulas, Eric D. Marsh, George J. Vachtsevanos:
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG. DMIN 2007: 256-262 - 2006
- [b1]George K. Georgoulas:
Μέθοδοι διάγνωσης με βάση προηγμένες τεχνικές επεξεργασίας και ταξινόμησης δεδομένων: εφαρμογές στη μαιευτική. University of Patras, Greece, 2006 - [j2]George K. Georgoulas, Chrysostomos D. Stylios, Peter P. Groumpos:
Feature Extraction and Classification of Fetal Heart Rate Using Wavelet Analysis and Support Vector Machines. Int. J. Artif. Intell. Tools 15(3): 411-432 (2006) - [j1]George K. Georgoulas, Chrysostomos D. Stylios, Petros P. Groumpos:
Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines. IEEE Trans. Biomed. Eng. 53(5): 875-884 (2006) - [c3]George K. Georgoulas, Voula C. Georgopoulos, Chrysostomos D. Stylios:
Speech Sound Classification and Detection of Articulation Disorders with Support Vector Machines and Wavelets. EMBC 2006: 2199-2202 - [c2]Athanasios Koutras, Ioanna Christoyianni, George K. Georgoulas, Evangelos Dermatas:
Computer Aided Classification of Mammographic Tissue Using Independent Component Analysis and Support Vector Machines. ICANN (2) 2006: 568-577 - [c1]Elpiniki Papageorgiou, George K. Georgoulas, Chrysostomos D. Stylios, George Nikiforidis, Peter P. Groumpos:
Combining Fuzzy Cognitive Maps with Support Vector Machines for Bladder Tumor Grading. KES (1) 2006: 515-523
Coauthor Index
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