A Watershed Based Segmentation Method for Multispectral Chromosome Images Classification. - Petros S. Karvelis; Dimitrios I. Fotiadis; Ioannis Georgiou; Marika Syrrou (EMBC, 2006)

Region Based Segmentation and Classification of Multispectral Chromosome Images. - Petros S. Karvelis; Dimitrios I. Fotiadis; Alexandros T. Tzallas; Ioannis Georgiou (CBMS, 2007)

A region based decorrelation stretching method: Application to multispectral chromosome image classification. - Petros S. Karvelis; Dimitrios I. Fotiadis (ICIP, 2008)

A Multichannel Watershed-Based Segmentation Method for Multispectral Chromosome Classification. - Petros S. Karvelis; Alexandros T. Tzallas; Dimitrios I. Fotiadis; Ioannis Georgiou (IEEE Trans. Medical Imaging, 2008)

Enhancement of Multichannel Chromosome Classification Using a Region-Based Classifier and Vector Median Filtering. - Petros S. Karvelis; Dimitrios I. Fotiadis; Dimitrios G. Tsalikakis; Ioannis Georgiou (IEEE Trans. Inf. Technol. Biomed., 2009)

Identifying touching and overlapping chromosomes using the watershed transform and gradient paths. - Petros S. Karvelis; Aristidis Likas; Dimitrios I. Fotiadis (Pattern Recognit. Lett., 2010)

A Novel Semiautomated Atherosclerotic Plaque Characterization Method Using Grayscale Intravascular Ultrasound Images: Comparison With Virtual Histology. - Lambros S. Athanasiou; Petros S. Karvelis; Vasilis D. Tsakanikas; Katerina K. Naka; Lampros K. Michalis; Christos V. Bourantas; Dimitrios I. Fotiadis (IEEE Trans. Inf. Technol. Biomed., 2012)

Ανάλυση πολυκαναλικών εικόνων χρωμοσωμάτων - Petros S. Karvelis (2012)

An intelligent icons approach for rotor bar fault detection. - Petros S. Karvelis; Ioannis P. Tsoumas; George K. Georgoulas; Chrysostomos D. Stylios; Jose Alfonso Antonino-Daviu; Vicente Climente-Alarcon (IECON, 2013)

Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database. - Jirí Spilka; George K. Georgoulas; Petros S. Karvelis; Vangelis P. Oikonomou; Václav Chudácek; Chrysostomos D. Stylios; Lenka Lhotská; Petr Janku (ITBAM, 2013)

Segmentation of microarray images using pixel classification - Comparison with clustering-based methods. - Nikolaos Giannakeas; Petros S. Karvelis; Themis P. Exarchos; Fanis G. Kalatzis; Dimitrios I. Fotiadis (Comput. Biol. Medicine, 2013)

Fully Unsupervised M-FISH Chromosome Image Characterization. - Petros S. Karvelis; Aristidis Likas (IEEE J. Biomed. Health Informatics, 2013)

A three class treatment of the FHR classification problem using latent class analysis labeling. - George K. Georgoulas; Jirí Spilka; Petros S. Karvelis; Václav Chudácek; Chrysostomos D. Stylios; Lenka Lhotská (EMBC, 2014)

An automated thermographic image segmentation method for induction motor fault diagnosis. - Petros S. Karvelis; George K. Georgoulas; Chrysostomos D. Stylios; Ioannis P. Tsoumas; Jose Alfonso Antonino-Daviu; Maria Jose Picazo Rodenas; Vicente Climente-Alarcon (IECON, 2014)

Semi-Automated Annotation of Phasic Electromyographic Activity. - Petros S. Karvelis; Jacqueline Fairley; George K. Georgoulas; Chrysostomos D. Stylios; David B. Rye; Donald L. Bliwise (SETN, 2014)

Discriminating Normal from "Abnormal" Pregnancy Cases Using an Automated FHR Evaluation Method. - Jirí Spilka; George K. Georgoulas; Petros S. Karvelis; Václav Chudácek; Chrysostomos D. Stylios; Lenka Lhotská (SETN, 2014)

Wavelet analysis for detection of phasic electromyographic activity in sleep: Influence of mother wavelet and dimensionality reduction. - Jacqueline Fairley; George K. Georgoulas; Otis L. Smart; George Dimakopoulos; Petros S. Karvelis; Chrysostomos D. Stylios; David B. Rye; Donald L. Bliwise (Comput. Biol. Medicine, 2014)

Symbolic time series analysis of the soft starting transient in induction machines. - 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 (ICIT, 2015)

Automatizing the detection of rotor failures in induction motors operated via soft-starters. - 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 (IECON, 2015)

A Symbolic Representation Approach for the Diagnosis of Broken Rotor Bars in Induction Motors. - Petros S. Karvelis; George K. Georgoulas; Ioannis P. Tsoumas; Jose Alfonso Antonino-Daviu; Vicente Climente-Alarcon; Chrysostomos D. Stylios (IEEE Trans. Ind. Informatics, 2015)

Examining nominal and ordinal classifiers for forecasting wind speed. - George K. Georgoulas; Stavros Kolios; Petros S. Karvelis; Chrysostomos D. Stylios (IEEE Conf. on Intelligent Systems, 2016)

Towards a fully automated tool for annotation of phasic electromyographic activity. - Petros S. Karvelis; George K. Georgoulas; Jacqueline A. Fairley; Chrysostomos D. Stylios; David B. Rye; Donald L. Bliwise (MED, 2016)

An ordinal classification approach for CTG categorization. - George K. Georgoulas; Petros S. Karvelis; Dimitris Gavrilis; Chrysostomos D. Stylios; George Nikolakopoulos (EMBC, 2017)

A laser dot tracking method for the assessment of sensorimotor function of the hand. - Petros S. Karvelis; Ulrik Röijezon; Ragnar Faleij; George K. Georgoulas; Sina Sharif Mansouri; George Nikolakopoulos (MED, 2017)

Ensemble learning for forecasting main meteorological parameters. - Petros S. Karvelis; Stavros Kolios; George K. Georgoulas; Chrysostomos D. Stylios (SMC, 2017)

Exploring the Detectability of Short-Circuit Faults in Inverter-Fed Induction Motors. - George K. Georgoulas; Petros S. Karvelis; Chrysostomos D. Stylios; Lucia Frosini; Ioannis P. Tsoumas (IECON, 2018)

Topic recommendation using Doc2Vec. - Petros S. Karvelis; Dimitris Gavrilis; George K. Georgoulas; Chrysostomos D. Stylios (IJCNN, 2018)

Adopting and Embedding Machine Learning Algorithms in Microcontroller for Weather Prediction. - Petros S. Karvelis; Theofanis-Aristofanis Michail; Daniele Mazzei; Stefanos Petsios; Andrea Baù; Gabriele Montelisciani; Chrysostomos D. Stylios (IEEE Conf. on Intelligent Systems, 2018)

Open Space Attraction Based Navigation in Dark Tunnels for MAVs. - Christoforos Kanellakis; Petros S. Karvelis; George Nikolakopoulos (ICVS, 2019)

Image Enhancing in Poorly Illuminated Subterranean Environments for MAV Applications: A Comparison Study. - Christoforos Kanellakis; Petros S. Karvelis; George Nikolakopoulos (ICVS, 2019)

Visual Subterranean Junction Recognition for MAVs based on Convolutional Neural Networks. - Sina Sharif Mansouri; Petros S. Karvelis; Christoforos Kanellakis; Anton Koval; George Nikolakopoulos (IECON, 2019)

Vision-based MAV Navigation in Underground Mine Using Convolutional Neural Network. - Sina Sharif Mansouri; Petros S. Karvelis; Christoforos Kanellakis; Dariusz Kominiak; George Nikolakopoulos (IECON, 2019)

Short Time Wind Forecasting with Uncertainty. - Petros S. Karvelis; Stefanos Petsios; George K. Georgoulas; Chrysostomos D. Stylios (IISA, 2019)

MAV Navigation in Unknown Dark Underground Mines Using Deep Learning. - Sina Sharif Mansouri; Christoforos Kanellakis; Petros S. Karvelis; Dariusz Kominiak; George Nikolakopoulos (ECC, 2020)

Track My Health: An IoT Approach for Data Acquisition and Activity Recognition. - Giannis Botilias; Angelos Papoutsis; Petros S. Karvelis; Chrysostomos D. Stylios (pHealth, 2020)

A Machine Learning Approach for Human Activity Recognition. - Angelos Papoutsis; Giannis Botilias; Petros S. Karvelis; Chrysostomos D. Stylios (pHealth, 2020)

Multichannel Symbolic Aggregate Approximation Intelligent Icons: Application for Activity Recognition. - Lamprini Pappa; Petros S. Karvelis; George K. Georgoulas; Chrysostomos D. Stylios (SSCI, 2020)

Where to look: a collection of methods forMAV heading correction in underground tunnels. - Christoforos Kanellakis; Sina Sharif Mansouri; Miguel Castaño; Petros S. Karvelis; Dariusz Kominiak; George Nikolakopoulos (IET Image Process., 2020)

PortWeather: A Lightweight Onboard Solution for Real-Time Weather Prediction. - Petros S. Karvelis; Daniele Mazzei; Matteo Biviano; Chrysostomos D. Stylios (Sensors, 2020)

Risk Flood Assessment for the Arachthos River using Analytic Hierarchy Process. - Paraskevas Schismenos; Petros S. Karvelis; Chrysostomos D. Stylios (MED, 2021)

Slopewise Aggregate Approximation SAX: keeping the trend of a time series. - Lamprini Pappa; Petros S. Karvelis; George K. Georgoulas; Chrysostomos D. Stylios (SSCI, 2021)

Towards Autonomous Aerial Scouting Using Multi-Rotors in Subterranean Tunnel Navigation. - Christoforos Kanellakis; Petros S. Karvelis; Sina Sharif Mansouri; Ali-Akbar Agha-Mohammadi; George Nikolakopoulos (IEEE Access, 2021)

Correction to "Towards Autonomous Aerial Scouting Using Multi-Rotors in Subterranean Tunnel Navigation". - Christoforos Kanellakis; Petros S. Karvelis; Sina Sharif Mansouri; Ali-Akbar Agha-Mohammadi; George Nikolakopoulos (IEEE Access, 2021)

An exploratory approach to fetal heart rate-pH-based systems. - George K. Georgoulas; Petros S. Karvelis; Václav Chudácek; Jirí Spilka; Miroslav Bursa; Lenka Lhotská; Chrysostomos D. Stylios; George Nikolakopoulos (Signal Image Video Process., 2021)

A comparative study on recognizing human activities by applying diverse Machine Learning approaches. - Lamprini Pappa; Petros S. Karvelis; Chrysostomos D. Stylios (EMBC, 2022)

Evaluating Text Augmentation for Boosting the Automatic Mapping of Vulnerability Information to Adversary Techniques. - Emmanouil Gionanidis; Petros S. Karvelis; George K. Georgoulas; Konstantinos Stamos; Purvi Garg (SecDev, 2022)

Tracking individuals' health using mobile applications and Machine Learning. - Giannis Botilias; Lamprini Pappa; Petros S. Karvelis; Chrysostomos D. Stylios (SEEDA-CECNSM, 2022)

Safe Driving Mobile Application using Gamification. - Platon Dimitriadis; Nikos Dimokas; Petros S. Karvelis (SEEDA-CECNSM, 2022)

Cooperative Intelligent Transport Systems Solution: a Cooperative Safety Application. - Nikos Dimokas; Pavlos Spanidis; Ioannis Tsetsinas; Ioannis Gkragkopoulos; Maria Gemou; Petros S. Karvelis (SEEDA-CECNSM, 2022)

Object Detection for Low Light Images. - Dimitrios Mpouziotas; Eleftherios Mastrapas; Nikos Dimokas; Petros S. Karvelis; Evripidis Glavas (SEEDA-CECNSM, 2022)

A Clustering-Based Approach for Ranking Universities. - George Matlis; Nikos Dimokas; Petros S. Karvelis (IISA, 2023)

An Intelligent Injury Rehabilitation Guidance System for Recreational Runners Using Data Mining Algorithms. - Theodoros Tzelepis; George Matlis; Nikos Dimokas; Petros S. Karvelis; Paraskevi Malliou; Anastasia Beneka (Algorithms, 2023)

Performance and early drop prediction for higher education students using machine learning. - Vasileios Christou; Ioannis G. Tsoulos; Vasileios Loupas; Alexandros T. Tzallas; Christos Gogos; Petros S. Karvelis; Nikolaos Antoniadis; Evripidis Glavas; Nikolaos Giannakeas (Expert Syst. Appl., 2023)

A Multimodal Computer Vision Approach for Wildlife Bird Surveillance using Drones. - Dimitrios Mpouziotas; Petros S. Karvelis; Chrysostomos D. Stylios (SEEDA-CECNSM, 2024)

Unveiling University Groupings: A Clustering Analysis for Academic Rankings. - George Matlis; Nikos Dimokas; Petros S. Karvelis (Data, 2024)

How natural language processing derived techniques are used on biological data: a systematic review. - Emmanouil D. Oikonomou; Petros S. Karvelis; Nikolaos Giannakeas; Aristidis G. Vrahatis; Evripidis Glavas; Alexandros T. Tzallas (Netw. Model. Anal. Health Informatics Bioinform., 2024)

SAX-Based GNN Embeddings for Time Series. - Lamprini Pappa; Petros S. Karvelis; George K. Georgoulas; Chrysostomos D. Stylios (DSP, 2025)

Advanced Computer Vision Methods for Avian Risk Assessment Using Multispectral Drones. - Dimitrios Mpouziotas; Petros S. Karvelis; Ioulia Kapsali; Chrysostomos D. Stylios; Vasilios Tsiouris (IEEE Access, 2025)

Exploring the diverse world of SAX-based methodologies. - Lamprini Pappa; Petros S. Karvelis; Chrysostomos D. Stylios (Data Min. Knowl. Discov., 2025)