Publications

Τhe outcomes of our research activities are reflected in a number of respective publications. Listed below are the most recent publications, or you can browse for conference articles, journal articles or book chapters.

Knowledge graphs and interoperability techniques for hybrid-cloud deployment of faas applications
Published: 13 December 2022
Authors: Georgios Fatouros, Yannis Poulakis, Georgios Makridis, Dimosthenis Kyriazis,
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Data Processing Tools for Graph Data Modelling Big Data Analytics
Published: 12 December 2022
Authors: Konstantinos Voulgaris, Athanasios Kiourtis, Panagiotis Karamolegkos, Andreas Karabetian, Yannis Poulakis, Argyro Mavrogiorgou, Dimosthenis Kyriazis
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A Comparative Study of Monolithic and Microservices Architectures in Machine Learning Scenarios
Published: 14 November 2022
Authors: Spyridon Kleftakis, Argyro Mavrogiorgou, Nikolaos Zafeiropoulos, Konstantinos Mavrogiorgos, Athanasios Kiourtis, Dimosthenis Kyriazis
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Automated rule-based data cleaning using NLP
Published: 9 November 2022
Authors: Konstantinos Mavrogiorgos, Argyro Mavrogiorgou, Athanasios Kiourtis, Nikolaos Zafeiropoulos, Spyridon Kleftakis, Dimosthenis Kyriazis
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A catalogue of machine learning algorithms for healthcare risk predictions
Published: 8 November 2022
Authors: Argyro Mavrogiorgou, Athanasios Kiourtis, Spyridon Kleftakis, Konstantinos Mavrogiorgos, Nikolaos Zafeiropoulos, Dimosthenis Kyriazis
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Electronic health records at People’s hands across Europe: The InteropEHRate protocols
Published: 1 November 2022
Authors: Athanasios Kiourtis, Argyro Mavrogiorgou, Konstantinos Mavrogiorgos, Dimosthenis Kyriazis, Chrysostomos Symvoulidis
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Self-Adaptable Infrastructure Management for Analyzing the Efficiency of Big Data Stores
Published: 20 October 2022
Authors: Konstantinos Mavrogiorgos, Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis
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Hocc: an ontology for holistic description of cluster settings
Published: 13 September 2022
Authors: Yannis Poulakis, Georgios Fatouros, Dimosthenis Kyriazis,
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The Holistic perspective of the INCISIVE Project—Artificial intelligence in screening mammography
Published: 31 August 2022
Authors: Chrysostomos Symvoulidis
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A Comparison of Container Systems for Machine Learning Scenarios: Docker and Podman
Published: 18 August 2022
Authors: Konstantinos Voulgaris, Athanasios Kiourtis, Andreas Karabetian, Panagiotis Karamolegkos, Yannis Poulakis, Argyro Mavrogiorgou, Dimosthenis Kyriazis
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An Environmentally-sustainable Dimensioning Workbench towards Dynamic Resource Allocation in Cloud-computing Environments
Published: 18 July 2022
Authors: Andreas Karabetian, Athanasios Kiourtis, Konstantinos Voulgaris, Panagiotis Karamolegkos, Yannis Poulakis, Argyro Mavrogiorgou, Dimosthenis Kyriazis
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Digital twin in healthcare through the eyes of the Vitruvian man
Published: 6 July 2022
Authors: Spyridon Kleftakis, Argyro Mavrogiorgou, Konstantinos Mavrogiorgos, Athanasios Kiourtis, Dimosthenis Kyriazis
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A comparative study of ML algorithms for scenario-agnostic predictions in healthcare
Published: 30 June 2022
Authors: Argyro Mavrogiorgou, Spyridon Kleftakis, Nikolaos Zafeiropoulos, Konstantinos Mavrogiorgos, Athanasios Kiourtis, Dimosthenis Kyriazis
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CYBELE: A Hybrid Architecture of HPC and Big Data for AI Applications in Agriculture
Published: 15 June 2022
Authors: Naweiluo Zhou, Li Zhon, Dennis Hoppe, Branislav Pejak, Oskar Marko, Javier Cardona, Mikolaj Czerkawski, Ivan Andonovic, Craig Michie, Christos Tachtatzis, Emmanouil Alexakis, Dimosthenis Kyriazis, Marcin Pospieszny
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An Autoscaling Platform Supporting Graph Data Modelling Big Data Analytics
Published: 1 June 2022
Authors: Athanasios Kiourtis, Panagiotis Karamolegkos, Andreas Karabetian, Konstantinos Voulgaris, Yannis Poulakis, Argyro Mavrogiorgou, Dimosthenis Kyriazis
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conference articles

journal articles

book chapters

latest publication

Addressing Complex Data Integration and Harmonization Scenarios

Publications

Knowledge graphs and interoperability techniques for hybrid-cloud deployment of faas applications

Data Processing Tools for Graph Data Modelling Big Data Analytics

A Comparative Study of Monolithic and Microservices Architectures in Machine Learning Scenarios

Automated rule-based data cleaning using NLP

A catalogue of machine learning algorithms for healthcare risk predictions

Electronic health records at People’s hands across Europe: The InteropEHRate protocols

Self-Adaptable Infrastructure Management for Analyzing the Efficiency of Big Data Stores

Hocc: an ontology for holistic description of cluster settings

The Holistic perspective of the INCISIVE Project—Artificial intelligence in screening mammography

A Comparison of Container Systems for Machine Learning Scenarios: Docker and Podman

An Environmentally-sustainable Dimensioning Workbench towards Dynamic Resource Allocation in Cloud-computing Environments

Digital twin in healthcare through the eyes of the Vitruvian man

A comparative study of ML algorithms for scenario-agnostic predictions in healthcare

CYBELE: A Hybrid Architecture of HPC and Big Data for AI Applications in Agriculture

An Autoscaling Platform Supporting Graph Data Modelling Big Data Analytics

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