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.

AI4Gov: Trusted AI for Transparent Public Governance Fostering Democratic Values
Published: 19 June 2023

Authors: George Manias, Andreas Karabetian, Dimitris Kotios, Konstantinos Mavrogiorgos, Dimosthenis Kyriazis

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Multilingual text categorization and sentiment analysis: a comparative analysis of the utilization of multilingual approaches for classifying twitter data
Published: 8 May 2023

Authors: George Manias, Argyro Mavrogiorgou, Athanasios Kiourtis, Chrysostomos Symvoulidis, Dimosthenis Kyriazis

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Batch and streaming data ingestion towards creating holistic health records
Published: 14 February 2023

Authors: Argyro Mavrogiorgou, Athanasios Kiourtis, George Manias, Chrysostomos Symvoulidis, Dimosthenis Kyriazis

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Everanalyzer: A self-adjustable big data management platform exploiting the Hadoop ecosystem
Published: 3 February 2023

Authors: Panagiotis Karamolegkos, Argyro Mavrogiorgou, Athanasios Kiourtis, Dimosthenis Kyriazis

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Interpretable stroke risk prediction using machine learning algorithms
Published: 25 January 2023

Authors: Nikolaos Zafeiropoulos, Argyro Mavrogiorgou, Spyridon Kleftakis, Konstantinos Mavrogiorgos, Athanasios Kiourtis, Dimosthenis Kyriazis

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ML-FaaS: Toward Exploiting the Serverless Paradigm to Facilitate Machine Learning Functions as a Service
Published: 25 January 2023

Authors: Efterpi Paraskevoulakou, Dimosthenis Kyriazis

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K-Medoids-Surv: A Patients Risk Stratification Algorithm Considering Censored Data
Published: 24 January 2023

Authors: Giorgos Marinos, Chrysostomos Symvoulidis, Dimosthenis Kyriazis

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MathBlock: Performing Complex Mathematical Operations on Synthetic Data
Published: 10 January 2023

Authors: Panagiotis Karamolegkos, Athanasios Kiourtis, Andreas Karabetian, Konstantinos Voulgaris, Yannis Poulakis, Argyro Mavrogiorgou, Dimosthenis Kyriazis

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Knowledge graphs and interoperability techniques for hybrid-cloud deployment of faas applications
Published: 13 December 2022

Authors: Giorgos 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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Categories

conference articles

journal articles

book chapters

latest publication

A Question Answering Software for Assessing AI Policies of OECD Countries

Publications

AI4Gov: Trusted AI for Transparent Public Governance Fostering Democratic Values

Multilingual text categorization and sentiment analysis: a comparative analysis of the utilization of multilingual approaches for classifying twitter data

Batch and streaming data ingestion towards creating holistic health records

Everanalyzer: A self-adjustable big data management platform exploiting the Hadoop ecosystem

Interpretable stroke risk prediction using machine learning algorithms

ML-FaaS: Toward Exploiting the Serverless Paradigm to Facilitate Machine Learning Functions as a Service

K-Medoids-Surv: A Patients Risk Stratification Algorithm Considering Censored Data

MathBlock: Performing Complex Mathematical Operations on Synthetic Data

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

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