Conference Articles

Listed below are the most recent publications in conference articles.

Dynamic Resource Allocation on the Edge: A Causal and Contextually-Aware Machine Learning Approach
Published: 1 August 2024
Authors: Chrysostomos Symvoulidis, Efterpi Paraskevoulakou, Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis
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A Question Answering Software for Assessing AI Policies of OECD Countries
Published: 24 July 2024
Authors: Konstantinos Mavrogiorgos, Athanasios Kiourtis, Argyro Mavrogiorgou, George Manias, Dimosthenis Kyriazis
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Mitigating Bias in Time Series Forecasting for Efficient Wastewater Management
Published: 17 July 2024
Authors: Konstantinos Mavrogiorgos, Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis
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UI/UX Sustainable Design: Best Practices for Applications CO2 Emissions Reduction
Published: 25 June 2024
Authors: Athanasios Kiourtis, Argyro Mavrogiorgou, Nikolaos Zafeiropoulos, Konstantinos Mavrogiorgos, Andreas Karabetian, Dimosthenis Kyriazis
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Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study
Published: 4 April 2024
Authors: Sardianos, C., Chrysostomos Symvoulidis, Schloegl, M., Varlamis, I., Papadopoulos, G. T.
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Enhancing cloud-based application component placement with ai-driven operations
Published: 18 January 2024
Authors: Efterpi Paraskevoulakou, Jean-Didier Totow Tom-ata, Chrysostomos Symvoulidis, Dimosthenis Kyriazis
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A Visual Programming Environment for Describing Complex Big Data Functions
Published: 21 November 2023
Authors: Andreas Karabetian, Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis
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A Practical Guide to Green Computing for Manufacturers, Businesses, and Individuals
Published: 10 November 2023
Authors: Athanasios Kiourtis, Argyro Mavrogiorgou, Georgios Makridis, Chrysostomos Symvoulidis, Konstantinos Mavrogiorgos, Dimosthenis Kyriazis
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Polymorphic Cloud Application Design Assisted by Open Source Software Classification
Published: 27 October 2023
Authors: Jean-Didier Totow Tom-ata, Efterpi Paraskevoulakou, Chrysostomos Symvoulidis, Dimosthenis Kyriazis
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Dynamic deployment prediction and configuration in hybrid cloud / edge computing environments using influence-based learning
Published: 20 September 2023
Authors: Chrysostomos Symvoulidis, Athanasios Kiourtis, Argyro Mavrogiorgou, Jean-Didier Totow Tom-ata, George Manias, Dimosthenis Kyriazis
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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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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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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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latest publication

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

Conference Articles

Conference Articles

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

A Question Answering Software for Assessing AI Policies of OECD Countries

Mitigating Bias in Time Series Forecasting for Efficient Wastewater Management

UI/UX Sustainable Design: Best Practices for Applications CO2 Emissions Reduction

Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study

Enhancing cloud-based application component placement with ai-driven operations

A Visual Programming Environment for Describing Complex Big Data Functions

A Practical Guide to Green Computing for Manufacturers, Businesses, and Individuals

Polymorphic Cloud Application Design Assisted by Open Source Software Classification

Dynamic deployment prediction and configuration in hybrid cloud / edge computing environments using influence-based learning

AI4Gov: Trusted AI for Transparent Public Governance Fostering Democratic Values

Interpretable stroke risk prediction using machine learning algorithms

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

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