George K. Georgoulas

According to our database1, George K. Georgoulas authored at least 62 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
An exploratory approach to fetal heart rate-pH-based systems.
Signal Image Video Process., 2021

Slopewise Aggregate Approximation SAX: keeping the trend of a time series.
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

Short Time Wind Forecasting with Uncertainty.
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
Towards MAV Navigation in Underground Mine Using Deep Learning.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Topic recommendation using Doc2Vec.
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

Ensemble learning for forecasting main meteorological parameters.
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

A laser dot tracking method for the assessment of sensorimotor function of the hand.
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

Cloud computing for big data analytics in the Process Control Industry.
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

An ordinal classification approach for CTG categorization.
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

Towards a fully automated tool for annotation of phasic electromyographic activity.
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

Examining nominal and ordinal classifiers for forecasting wind speed.
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

Bearing fault detection and diagnosis by fusing vibration data.
Proceedings of the IECON 2016, 2016

An intelligent assistant for physicians.
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

A simulation based Decision Support System for logistics management.
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

Symbolic time series analysis of the soft starting transient in induction machines.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

A one-class approach to cardiotocogram assessment.
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

Semi-Automated Annotation of Phasic Electromyographic Activity.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Principal component analysis anomaly detector for rotor broken bars.
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

"Seismic-mass" density-based algorithm for spatio-temporal clustering.
Expert Syst. Appl., 2013

Guidance, navigation, and control of an unmanned hovercraft.
Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013

Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database.
Proceedings of the Information Technology in Bio- and Medical Informatics, 2013

An intelligent icons approach for rotor bar fault detection.
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

Bearing fault classification based on Minimum Volume Ellipsoid feature extraction.
Proceedings of the IEEE International Conference on Control Applications, 2013

2012
Using nonlinear features for fetal heart rate classification.
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

A Hybrid Approach for Artifact Detection in EEG Data.
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
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


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