Journal Articles

Listed below are the most recent publications in journal articles.

A Framework for Cognitive, Decentralized Container Orchestration
Published: 29 May 2024

Authors: Efterpi Paraskevoulakou, Panagiotis Karamolegkos

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A Survey on AutoML Methods and Systems for Clustering
Published: 27 February 2024

Authors: Yannis Poulakis, Dimosthenis Kyriazis

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Diastema: data-driven stack for big data applications management and deployment
Published: 12 September 2023

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

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A User Mobility-based Data Placement Strategy in a Hybrid Cloud/Edge Environment using a Causal-aware Deep Learning Network
Published: 6 September 2023

Authors: Chrysostomos Symvoulidis, Athanasios Kiourtis, Giorgos Marinos, Jean-Didier Totow Tom-ata, George Manias, Argyro Mavrogiorgou, Dimosthenis Kyriazis

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Identity management standards: A literature review
Published: 25 June 2023

Authors: Athanasios Kiourtis, Thanassis Giannetsos, Sofia-Anna Menesidou, Argyro Mavrogiorgou, Spyridon Kleftakis, Chrysostomos Symvoulidis, Alessio Graziani, Konstantinos Mavrogiorgos, Nikolaos Zafeiropoulos, Christos-Alexandros Gkolias, 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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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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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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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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The Holistic perspective of the INCISIVE Project—Artificial intelligence in screening mammography
Published: 31 August 2022

Authors: Chrysostomos Symvoulidis

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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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HealthFetch: an influence-based, context-aware prefetch scheme in citizen-centered health storage clouds
Published: 1 April 2022

Authors: Chrysostomos Symvoulidis, Giorgos Marinos, Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis

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A Comparative Study of Bluetooth SPP, PAN and GOEP for Efficient Exchange of Healthcare Data
Published: 3 June 2021

Authors: Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis

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Dynamic Resource Allocation on the Edge: A Causal and Contextually-Aware Machine Learning Approach

Journal Articles

Journal Articles

A Framework for Cognitive, Decentralized Container Orchestration

A Survey on AutoML Methods and Systems for Clustering

Diastema: data-driven stack for big data applications management and deployment

A User Mobility-based Data Placement Strategy in a Hybrid Cloud/Edge Environment using a Causal-aware Deep Learning Network

Identity management standards: A literature review

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

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

A catalogue of machine learning algorithms for healthcare risk predictions

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

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

An Autoscaling Platform Supporting Graph Data Modelling Big Data Analytics

HealthFetch: an influence-based, context-aware prefetch scheme in citizen-centered health storage clouds

A Comparative Study of Bluetooth SPP, PAN and GOEP for Efficient Exchange of Healthcare Data

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