Petros Karvelis

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Chrysostomos StyliosIndustrial Systems Institute/ Athena RC & University of IoanninaVerified email at uoi.gr
George GeorgoulasPost Doc researcherVerified email at datawise.ai
George NikolakopoulosChair Professor Robotics and Artificial Intelligence, Luleå University of Technology, SwedenVerified email at ltu.se
Sina Sharif MansouriPh.D., Luleå University of TechnologyVerified email at ltu.se
Václav ChudáčekCzech Technical University in PragueVerified email at fel.cvut.cz
Lenka LhotskaCzech Technical University in PragueVerified email at cvut.cz
Ioannis GeorgiouProfessor of Medical Genetics and Clinical EmbryologyVerified email at uoi.gr
Ioannis P. TsoumasPrincipal R&D Engineer, ABB Medium Voltage DrivesVerified email at ch.abb.com
Jiří SpilkaCzech Technical University in PragueVerified email at ciirc.cvut.cz
Christoforos KanellakisPhD, Luleå University of TechnologyVerified email at ltu.se
JOSE ANTONINO-DAVIUUNIVERSITAT POLITECNICA DE VALENCIAVerified email at die.upv.es
Vicente Climente-AlarconPostdoctoral researcher, University of Cambridge, UKVerified email at cam.ac.uk
Lampros Michalisprofessor of cardiology, university of ioanninaVerified email at uoi.gr
Lambros AthanasiouCanon MedicalVerified email at mru.medical.canon
Vasilis TsakanikasLondon South Bank UniversityVerified email at lsbu.ac.uk
Sotirios GiannopoulosProfessor of Neurology-Neuropsychology, National and Kapodistrian University of AthensVerified email at med.uoa.gr
Theodoros LoutasAssociate Professor, University of PatrasVerified email at mech.upatras.gr
Christos BourantasConsultant Cardiologist, Associate ProfessorVerified email at bartshealth.nhs.uk
stavros KoliosNational and Kapodistrian University of AthensVerified email at aerospace.uoa.gr
Katerina K. NakaProfessor of Cardiology, 2nd Department of Cardiology, Faculty of Medicine, School of HealthVerified email at uoi.gr

Petros Karvelis

Assistant Professor, Department of Informatics & Telecommunications, University of Ioannina, Greece

Verified email at uoi.gr

Machine Learning


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A symbolic representation approach for the diagnosis of broken rotor bars in induction motors P Karvelis, G Georgoulas, IP Tsoumas, JA Antonino-Daviu, ... IEEE Transactions on Industrial Informatics 11 (5), 1028-1037, 2015	69	2015
A multichannel watershed-based segmentation method for multispectral chromosome classification PS Karvelis, AT Tzallas, DI Fotiadis, I Georgiou IEEE Transactions on Medical Imaging 27 (5), 697-708, 2008	69	2008
Rolling element bearings diagnostics using the Symbolic Aggregate approXimation G Georgoulas, P Karvelis, T Loutas, CD Stylios Mechanical Systems and Signal Processing 60, 229-242, 2015	62	2015
Remaining useful battery life prediction for UAVs based on machine learning SS Mansouri, P Karvelis, G Georgoulas, G Nikolakopoulos IFAC-PapersOnLine 50 (1), 4727-4732, 2017	58	2017
A watershed based segmentation method for multispectral chromosome images classification PS Karvelis, DI Fotiadis, I Georgiou, M Syrrou 2006 International Conference of the IEEE Engineering in Medicine and …, 2006	53	2006
A novel semiautomated atherosclerotic plaque characterization method using grayscale intravascular ultrasound images: comparison with virtual histology LS Athanasiou, PS Karvelis, VD Tsakanikas, KK Naka, LK Michalis, ... IEEE Transactions on Information Technology in Biomedicine 16 (3), 391-400, 2011	47	2011
A method for classification of transient events in EEG recordings: application to epilepsy diagnosis AT Tzallas, PS Karvelis, CD Katsis, DI Fotiadis, S Giannopoulos, ... Methods of Information in Medicine 45 (06), 610-621, 2006	47	2006
Investigating pH based evaluation of fetal heart rate (FHR) recordings G Georgoulas, P Karvelis, J Spilka, V Chudáček, CD Stylios, L Lhotska Health and technology 7, 241-254, 2017	43	2017
An automated thermographic image segmentation method for induction motor fault diagnosis P Karvelis, G Georgoulas, CD Stylios, IP Tsoumas, JA Antonino-Daviu, ... IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society …, 2014	38	2014
Identifying touching and overlapping chromosomes using the watershed transform and gradient paths P Karvelis, A Likas, DI Fotiadis Pattern Recognition Letters 31 (16), 2474-2488, 2010	38	2010
Automatic evaluation of FHR recordings from CTU-UHB CTG database J Spilka, G Georgoulas, P Karvelis, VP Oikonomou, V Chudáček, ... Information Technology in Bio-and Medical Informatics: 4th International …, 2013	36	2013
Segmentation of microarray images using pixel classification—Comparison with clustering-based methods N Giannakeas, PS Karvelis, TP Exarchos, FG Kalatzis, DI Fotiadis Computers in biology and medicine 43 (6), 705-716, 2013	32	2013
Segmentation of chromosome images based on a recursive watershed transform PS Karvelis, DI Fotiadis, M Syrrou, I Georgiou IFMBE Proc 11 (1), 1727-1983, 2005	30	2005
Intelligent data-driven prognostic methodologies for the real-time remaining useful life until the end-of-discharge estimation of the Lithium-Polymer batteries of unmanned … N Eleftheroglou, SS Mansouri, T Loutas, P Karvelis, G Georgoulas, ... Applied Energy 254, 113677, 2019	29	2019
Discriminating normal from “abnormal” pregnancy cases using an automated fhr evaluation method J Spilka, G Georgoulas, P Karvelis, V Chudáček, CD Stylios, L Lhotská Artificial Intelligence: Methods and Applications: 8th Hellenic Conference …, 2014	29	2014
Deep machine learning for structural health monitoring on ship hulls using acoustic emission method P Karvelis, G Georgoulas, V Kappatos, C Stylios Ships and Offshore structures 16 (4), 440-448, 2021	23	2021
Topic recommendation using Doc2Vec P Karvelis, D Gavrilis, G Georgoulas, C Stylios 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018	23	2018
A classification-based segmentation of cDNA microarray images using support vector machines N Giannakeas, PS Karvelis, DI Fotiadis 2008 30th Annual International Conference of the IEEE Engineering in …, 2008	21	2008
A new clinical test for sensorimotor function of the hand–development and preliminary validation U Röijezon, R Faleij, P Karvelis, G Georgoulas, G Nikolakopoulos BMC musculoskeletal disorders 18, 1-11, 2017	19	2017
Ensemble learning for forecasting main meteorological parameters P Karvelis, S Kolios, G Georgoulas, C Stylios 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017	19	2017

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