George K. Georgoulas
According to our database1,
George K. Georgoulas
authored at least 63 papers
between 2006 and 2022.
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Bibliography
2022
Evaluating Text Augmentation for Boosting the Automatic Mapping of Vulnerability Information to Adversary Techniques.
Proceedings of the IEEE Secure Development Conference, 2022
2021
Signal Image Video Process., 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
2020
Multichannel Symbolic Aggregate Approximation Intelligent Icons: Application for Activity Recognition.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
2019
Visual Area Coverage with Attitude-Dependent Camera Footprints by Particle Harvesting.
CoRR, 2019
Proceedings of the 10th International Conference on Information, 2019
Analytical Investigation of the Transient Switch-On Current of Direct-On-Line Induction Motors.
Proceedings of the IECON 2019, 2019
2018
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Exploring the Detectability of Short-Circuit Faults in Inverter-Fed Induction Motors.
Proceedings of the IECON 2018, 2018
2017
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, 2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
On the covering of a polygonal region with fixed size rectangles with an application towards aerial inspection.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017
Data-driven modelling, learning and stochastic predictive control for the steel industry.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017
Incipient failure detection: A particle filtering approach with application to actuator systems.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Fault diagnosis, failure prognosis and fault tolerant control of aerospace/unmanned aerial systems.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016
Start-up analysis methods for the diagnosis of rotor asymmetries in induction motors-seeing is believing.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016
A multi-label classification approach for the detection of broken bars and mixed eccentricity faults using the start-up transient.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016
Proceedings of the IECON 2016, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
A Symbolic Representation Approach for the Diagnosis of Broken Rotor Bars in Induction Motors.
IEEE Trans. Ind. Informatics, 2015
J. Comput. Sci., 2015
Fault classification of broken rotor bars in induction motors based on envelope current analysis.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
Automatizing the detection of rotor failures in induction motors operated via soft-starters.
Proceedings of the IECON 2015, 2015
Proceedings of the IEEE International Conference on Industrial Technology, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
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., 2014
Wavelet analysis for detection of phasic electromyographic activity in sleep: Influence of mother wavelet and dimensionality reduction.
Comput. Biol. Medicine, 2014
Discriminating Normal from "Abnormal" Pregnancy Cases Using an Automated FHR Evaluation Method.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014
Proceedings of the Artificial Intelligence: Methods and Applications, 2014
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014
An automated thermographic image segmentation method for induction motor fault diagnosis.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014
A three class treatment of the FHR classification problem using latent class analysis labeling.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines.
Expert Syst. Appl., 2013
Expert Syst. Appl., 2013
Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013
Proceedings of the Information Technology in Bio- and Medical Informatics, 2013
Proceedings of the IECON 2013, 2013
Multi-harmonic tracking for diagnosis of rotor asymmetries in wound rotor induction motors.
Proceedings of the IECON 2013, 2013
Proceedings of the IEEE International Conference on Control Applications, 2013
2012
Biomed. Signal Process. Control., 2012
Computer detection approaches for the identification of phasic electromyographic (EMG) activity during human sleep.
Biomed. Signal Process. Control., 2012
Integrating particle swarm optimization with reinforcement learning in noisy problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Grammatical evolution for features of epileptic oscillations in clinical intracranial electroencephalograms.
Expert Syst. Appl., 2011
Modeling complex logistics systems using soft computing methodology of Fuzzy Cognitive Maps.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2011
2010
Automatic Classification of Intrapartal Fetal Heart-Rate Recordings - Can It Compete with Experts?
Proceedings of the Information Technology in Bio- and Medical Informatics, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
2009
Evolutionary dimensionality reduction for crack localization in ship structures using a hybrid computational intelligent approach.
Proceedings of the International Joint Conference on Neural Networks, 2009
Detection of articulation disorders using Empirical Mode Decomposition and neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2009
Discriminating between V and N Beats from ECGs Introducing an Integrated Reduced Representation along with a Neural Network Classifier.
Proceedings of the Artificial Neural Networks, 2009
2007
Novel approach for fetal heart rate classification introducing grammatical evolution.
Biomed. Signal Process. Control., 2007
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG.
Proceedings of the 2007 International Conference on Data Mining, 2007
2006
Μέθοδοι διάγνωσης με βάση προηγμένες τεχνικές επεξεργασίας και ταξινόμησης δεδομένων: εφαρμογές στη μαιευτική
PhD thesis, 2006
Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines.
IEEE Trans. Biomed. Eng., 2006
Feature Extraction and Classification of Fetal Heart Rate Using Wavelet Analysis and Support Vector Machines.
Int. J. Artif. Intell. Tools, 2006
Combining Fuzzy Cognitive Maps with Support Vector Machines for Bladder Tumor Grading.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006
Computer Aided Classification of Mammographic Tissue Using Independent Component Analysis and Support Vector Machines.
Proceedings of the Artificial Neural Networks, 2006
Speech Sound Classification and Detection of Articulation Disorders with Support Vector Machines and Wavelets.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006