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Petros S. Karvelis

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2020 – today

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2025
[j18]
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Lamprini Pappa, Petros S. Karvelis, Chrysostomos D. Stylios:
Exploring the diverse world of SAX-based methodologies. Data Min. Knowl. Discov. 39(1): 1-78 (2025)
2024
[j17]
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George Matlis, Nikos Dimokas, Petros S. Karvelis:
Unveiling University Groupings: A Clustering Analysis for Academic Rankings. Data 9(5): 67 (2024)
[j16]
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Emmanouil D. Oikonomou, Petros S. Karvelis, Nikolaos Giannakeas, Aristidis G. Vrahatis, Evripidis Glavas, Alexandros T. Tzallas:
How natural language processing derived techniques are used on biological data: a systematic review. Netw. Model. Anal. Health Informatics Bioinform. 13(1): 23 (2024)
[c38]
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Dimitrios Mpouziotas, Petros S. Karvelis, Chrysostomos D. Stylios:
A Multimodal Computer Vision Approach for Wildlife Bird Surveillance using Drones. SEEDA-CECNSM 2024: 63-68
2023
[j15]
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Theodoros Tzelepis, George Matlis, Nikos Dimokas, Petros S. Karvelis, Paraskevi Malliou, Anastasia Beneka:
An Intelligent Injury Rehabilitation Guidance System for Recreational Runners Using Data Mining Algorithms. Algorithms 16(11): 523 (2023)
[j14]
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Vasileios Christou, Ioannis G. Tsoulos, Vasileios Loupas, Alexandros T. Tzallas, Christos Gogos, Petros S. Karvelis, Nikolaos Antoniadis, Evripidis Glavas, Nikolaos Giannakeas:
Performance and early drop prediction for higher education students using machine learning. Expert Syst. Appl. 225: 120079 (2023)
[c37]
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George Matlis, Nikos Dimokas, Petros S. Karvelis:
A Clustering-Based Approach for Ranking Universities. IISA 2023: 1-8
2022
[c36]
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Lamprini Pappa, Petros S. Karvelis, Chrysostomos D. Stylios:
A comparative study on recognizing human activities by applying diverse Machine Learning approaches. EMBC 2022: 3661-3664
[c35]
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  - conf/secdev/GionanidisKGSG22
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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
[c34]
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Giannis Botilias, Lamprini Pappa, Petros S. Karvelis, Chrysostomos D. Stylios:
Tracking individuals' health using mobile applications and Machine Learning. SEEDA-CECNSM 2022: 1-6
[c33]
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Platon Dimitriadis, Nikos Dimokas, Petros S. Karvelis:
Safe Driving Mobile Application using Gamification. SEEDA-CECNSM 2022: 1-6
[c32]
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Nikos Dimokas, Pavlos Spanidis, Ioannis Tsetsinas, Ioannis Gkragkopoulos, Maria Gemou, Petros S. Karvelis:
Cooperative Intelligent Transport Systems Solution: a Cooperative Safety Application. SEEDA-CECNSM 2022: 1-8
[c31]
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Dimitrios Mpouziotas, Eleftherios Mastrapas, Nikos Dimokas, Petros S. Karvelis, Evripidis Glavas:
Object Detection for Low Light Images. SEEDA-CECNSM 2022: 1-6
2021
[j13]
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  - journals/access/KanellakisKMAN21
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Christoforos Kanellakis, Petros S. Karvelis, Sina Sharif Mansouri, Ali-Akbar Agha-Mohammadi, George Nikolakopoulos:
Towards Autonomous Aerial Scouting Using Multi-Rotors in Subterranean Tunnel Navigation. IEEE Access 9: 66477-66485 (2021)
[j12]
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Christoforos Kanellakis, Petros S. Karvelis, Sina Sharif Mansouri, Ali-Akbar Agha-Mohammadi, George Nikolakopoulos:
Correction to "Towards Autonomous Aerial Scouting Using Multi-Rotors in Subterranean Tunnel Navigation". IEEE Access 9: 80208 (2021)
[j11]
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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)
[c30]
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  - conf/med/SchismenosKS21
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Paraskevas Schismenos, Petros S. Karvelis, Chrysostomos D. Stylios:
Risk Flood Assessment for the Arachthos River using Analytic Hierarchy Process. MED 2021: 1167-1172
[c29]
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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
[j10]
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  - journals/iet-ipr/KanellakisMCKKN20
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Christoforos Kanellakis, Sina Sharif Mansouri, Miguel Castaño, Petros S. Karvelis, Dariusz Kominiak, George Nikolakopoulos:
Where to look: a collection of methods forMAV heading correction in underground tunnels. IET Image Process. 14(10): 2020-2027 (2020)
[j9]
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  - journals/sensors/KarvelisMBS20
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Petros S. Karvelis, Daniele Mazzei, Matteo Biviano, Chrysostomos D. Stylios:
PortWeather: A Lightweight Onboard Solution for Real-Time Weather Prediction. Sensors 20(11): 3181 (2020)
[c28]
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  - conf/eucc/MansouriKKKN20
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Sina Sharif Mansouri, Christoforos Kanellakis, Petros S. Karvelis, Dariusz Kominiak, George Nikolakopoulos:
MAV Navigation in Unknown Dark Underground Mines Using Deep Learning. ECC 2020: 1943-1948
[c27]
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  - conf/phealth/PapoutsisBKS20
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Angelos Papoutsis, Giannis Botilias, Petros S. Karvelis, Chrysostomos D. Stylios:
A Machine Learning Approach for Human Activity Recognition. pHealth 2020: 155-160
[c26]
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Giannis Botilias, Angelos Papoutsis, Petros S. Karvelis, Chrysostomos D. Stylios:
Track My Health: An IoT Approach for Data Acquisition and Activity Recognition. pHealth 2020: 266-271
[c25]
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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
[i1]
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  - journals/corr/abs-2006-04223
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Sina Sharif Mansouri, Christoforos Kanellakis, Petros S. Karvelis, Dariusz Kominiak, George Nikolakopoulos:
MAV Navigation in Unknown Dark Underground Mines Using Deep Learning. CoRR abs/2006.04223 (2020)

2010 – 2019

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2019
[c24]
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  - conf/icvs/KanellakisKN19
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Christoforos Kanellakis, Petros S. Karvelis, George Nikolakopoulos:
Open Space Attraction Based Navigation in Dark Tunnels for MAVs. ICVS 2019: 110-119
[c23]
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Christoforos Kanellakis, Petros S. Karvelis, George Nikolakopoulos:
Image Enhancing in Poorly Illuminated Subterranean Environments for MAV Applications: A Comparison Study. ICVS 2019: 511-520
[c22]
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Sina Sharif Mansouri, Petros S. Karvelis, Christoforos Kanellakis, Anton Koval, George Nikolakopoulos:
Visual Subterranean Junction Recognition for MAVs based on Convolutional Neural Networks. IECON 2019: 192-197
[c21]
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Sina Sharif Mansouri, Petros S. Karvelis, Christoforos Kanellakis, Dariusz Kominiak, George Nikolakopoulos:
Vision-based MAV Navigation in Underground Mine Using Convolutional Neural Network. IECON 2019: 750-755
[c20]
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Petros S. Karvelis, Stefanos Petsios, George K. Georgoulas, Chrysostomos D. Stylios:
Short Time Wind Forecasting with Uncertainty. IISA 2019: 1-4
2018
[c19]
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  - conf/iecon/GeorgoulasKSFT18
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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
[c18]
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  - conf/ijcnn/KarvelisGGS18
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Petros S. Karvelis, Dimitris Gavrilis, George K. Georgoulas, Chrysostomos D. Stylios:
Topic recommendation using Doc2Vec. IJCNN 2018: 1-6
[c17]
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Petros S. Karvelis, Theofanis-Aristofanis Michail, Daniele Mazzei, Stefanos Petsios, Andrea Baù, Gabriele Montelisciani, Chrysostomos D. Stylios:
Adopting and Embedding Machine Learning Algorithms in Microcontroller for Weather Prediction. IEEE Conf. on Intelligent Systems 2018: 474-478
2017
[c16]
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George K. Georgoulas, Petros S. Karvelis, Dimitris Gavrilis, Chrysostomos D. Stylios, George Nikolakopoulos:
An ordinal classification approach for CTG categorization. EMBC 2017: 2642-2645
[c15]
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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
[c14]
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Petros S. Karvelis, Stavros Kolios, George K. Georgoulas, Chrysostomos D. Stylios:
Ensemble learning for forecasting main meteorological parameters. SMC 2017: 3711-3714
2016
[c13]
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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
[c12]
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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
2015
[j8]
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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)
[c11]
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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
[c10]
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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
2014
[j7]
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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)
[c9]
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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
[c8]
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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
[c7]
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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
[c6]
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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
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Nikolaos Giannakeas, Petros S. Karvelis, Themis P. Exarchos, Fanis G. Kalatzis, Dimitrios I. Fotiadis:
Segmentation of microarray images using pixel classification - Comparison with clustering-based methods. Comput. Biol. Medicine 43(6): 705-716 (2013)
[j5]
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Petros S. Karvelis, Aristidis Likas:
Fully Unsupervised M-FISH Chromosome Image Characterization. IEEE J. Biomed. Health Informatics 17(6): 1068-1078 (2013)
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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
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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
2012
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Petros S. Karvelis:
Ανάλυση πολυκαναλικών εικόνων χρωμοσωμάτων. University of Ioannina, Greece, 2012
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Lambros S. Athanasiou, Petros S. Karvelis, Vasilis D. Tsakanikas, Katerina K. Naka, Lampros K. Michalis, Christos V. Bourantas, Dimitrios I. Fotiadis:
A Novel Semiautomated Atherosclerotic Plaque Characterization Method Using Grayscale Intravascular Ultrasound Images: Comparison With Virtual Histology. IEEE Trans. Inf. Technol. Biomed. 16(3): 391-400 (2012)
2010
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Petros S. Karvelis, Aristidis Likas, Dimitrios I. Fotiadis:
Identifying touching and overlapping chromosomes using the watershed transform and gradient paths. Pattern Recognit. Lett. 31(16): 2474-2488 (2010)

2000 – 2009

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2009
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Petros S. Karvelis, Dimitrios I. Fotiadis, Dimitrios G. Tsalikakis, Ioannis Georgiou:
Enhancement of Multichannel Chromosome Classification Using a Region-Based Classifier and Vector Median Filtering. IEEE Trans. Inf. Technol. Biomed. 13(4): 561-570 (2009)
2008
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Petros S. Karvelis, Alexandros T. Tzallas, Dimitrios I. Fotiadis, Ioannis Georgiou:
A Multichannel Watershed-Based Segmentation Method for Multispectral Chromosome Classification. IEEE Trans. Medical Imaging 27(5): 697-708 (2008)
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Petros S. Karvelis, Dimitrios I. Fotiadis:
A region based decorrelation stretching method: Application to multispectral chromosome image classification. ICIP 2008: 1456-1459
2007
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Petros S. Karvelis, Dimitrios I. Fotiadis, Alexandros T. Tzallas, Ioannis Georgiou:
Region Based Segmentation and Classification of Multispectral Chromosome Images. CBMS 2007: 251-256
2006
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Petros S. Karvelis, Dimitrios I. Fotiadis, Ioannis Georgiou, Marika Syrrou:
A Watershed Based Segmentation Method for Multispectral Chromosome Images Classification. EMBC 2006: 3009-3012

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