Georgios Feretzakis

According to our database, Georgios Feretzakis authored at least 45 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Mapping How Artificial Intelligence Blends with Healthcare: Insights from a Bibliometric Analysis.

Loukas Triantafyllopoulos, Evgenia Paxinou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

Future Internet, July, 2024

Tracing Student Activity Patterns in E-Learning Environments: Insights into Academic Performance.

Evgenia Paxinou, Georgios Feretzakis, Rozita Tsoni, Dimitrios Karapiperis, Dimitrios Kalles, Vassilios S. Verykios

Future Internet, June, 2024

Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis.

Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis, Vassilios S. Verykios

Big Data Cogn. Comput., March, 2024

Enhancing Urban Resilience: Smart City Data Analyses, Forecasts, and Digital Twin Techniques at the Neighborhood Level.

Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis, Vassilios S. Verykios

Future Internet, February, 2024

Trustworthy AI: Securing Sensitive Data in Large Language Models.

Georgios Feretzakis, Vassilios S. Verykios

CoRR, 2024

Evaluating the interactions of Medical Doctors with chatbots based on large language models: Insights from a nationwide study in the Greek healthcare sector using ChatGPT.

Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles

Comput. Hum. Behav., 2024

Evaluating ChatGPT 4.0's User Satisfaction Among Doctors Across Different Medical Departments.

Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Advancing Cardiovascular Mortality Trend Analysis: A Machine Learning Approach to Predict Future Health Policy Needs.

Georgios Feretzakis, Nikolaos Theodorakis, Georgia Vamvakou, Christos Hitas, Dimitrios Anagnostou, Sofia Kalantzi, Aikaterini Spyridaki, Zoi Kollia, Michalitsa Christodoulou, Dimitris Kalles, Andreas F. Gkontzis, Vassilios S. Verykios, Maria Nikolaou

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Comparative Analysis of Macular and Optic Disc Perfusion Pre and Post Silicone Oil Removal: A Machine Learning Approach.

Georgios Feretzakis, Christina Karakosta, Aris Gkoulalas-Divanis, Dimitrios Karapiperis, Andreas F. Gkontzis, Evgenia Paxinou, Christina Kourentis, Vassilios S. Verykios

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

From Affect Regulation to BMI: Unveiling Childhood Obesity Patterns Through Advanced Clustering Techniques.

Georgios Feretzakis, Athanasia Harokopou, Olga Fafoula, Athanasios Anastasiou, Efstathia Katoikou, Athina Balaska, Antriana Koulountzou, Georgios Zagkavieros, Stamatia Batzaki, Lida Morou, Ioannis Katsikogiannis, Ilias Dalainas, Georgios Gkritzelas

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Enhancing Pulmonary Embolism Detection in COVID-19 Patients Through Advanced Deep Learning Techniques.

Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Chairi Kiourt, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, Vassilios S. Verykios, George Ioannakis, Evangelos Loupelis, Aikaterini Sakagianni

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

The Faculty Assignment Problem in Higher Education: A Shapley Value-Based Approach.

Vassilios S. Verykios, Evgenia Paxinou, Aris Gkoulalas-Divanis, Manolis Tzagarakis, Sotirios Kotsiantis, Georgios Feretzakis, Dimitris Kalles

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023

A Probabilistic Approach to Modeling Students' Interactions in a Learning Management System for Facilitating Distance Learning.

Dimitrios Karapiperis, Katerina Tzafilkou, Rozita Tsoni, Georgios Feretzakis, Vassilios S. Verykios

Inf., 2023

Community detection and social presence in students' discussion fora.

Evgenia Paxinou, Evangelia Manousou, Georgios Feretzakis, Vassilios S. Verykios

Intell. Decis. Technol., 2023

Prediction of COVID-19 Mortality in the Intensive Care Unit Using Machine Learning.

Aikaterini Sakagianni, Christina Koufopoulou, Vassilios S. Verykios, Evangelos Loupelis, Dimitrios Kalles, Georgios Feretzakis

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Convolutional Neural Networks for Optical Discrimination Between Histological Types of Colorectal Polyps Based on White Light Endoscopic Images.

Vasileios Panteris, Georgios Feretzakis, Panagiotis Karantanos, Dimitris Kalles, Vassilios S. Verykios, Maria Panoutsakou, Eirini Karagianni, Christina Zoubouli, Stefani Vgenopoulou, Aikaterini Pierrakou, Maria Theodorakopoulou, Apostolos E. Papalois, Thomas Thomaidis, Ilias Dalainas, Elias Kouroumalis

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

A Machine Learning Pipeline Using KNIME to Predict Hospital Admission in the MIMIC-IV Database.

Rozita Tsoni, Vasileios Kaldis, Ioanna Kapogianni, Aikaterini Sakagianni, Georgios Feretzakis, Vassilios S. Verykios

Proceedings of the 14th International Conference on Information, 2023

An Experimental Evaluation of the Expectation Maximization Algorithm.

Dimitrios Karapiperis, Georgios Feretzakis, Vassilios S. Verykios

Proceedings of the 14th International Conference on Information, 2023

Automated ML Techniques for Predicting COVID-19 Mortality in the ICU.

Aikaterini Sakagianni, Christina Koufopoulou, Dimitrios Kalles, Evangelos Loupelis, Vassilios S. Verykios, Georgios Feretzakis

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

A Deep Learning Model for Classifying Histological Types of Colorectal Polyps.

Vasileios Panteris, Dimitris Kalles, Vassilios S. Verykios, Stefani Vgenopoulou, Aikaterini Pierrakou, Ilias Dalainas, Georgios Feretzakis

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Acceptance of Artificial Intelligence in Supporting Cancer Patients.

Ioannis Manolitsis, Lazaros Tzelves, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios, Stamatis Katsimperis, Athanasios Anastasiou, Dimitrios D. Koutsouris, Thanos Kosmidis, Charalambos Deliveliotis, Athanasios Papatsoris, Ioannis Varkarakis

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Training ChatGPT Models in Assisting Urologists in Daily Practice.

Ioannis Manolitsis, Georgios Feretzakis, Lazaros Tzelves, Dimitris Kalles, Stamatis Katsimperis, Panagiotis Angelopoulos, Athanasios Anastasiou, Dimitrios D. Koutsouris, Thanos Kosmidis, Vassilios S. Verykios, Andreas Skolarikos, Ioannis Varkarakis

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

2022

Prediction of Hospitalization Using Machine Learning for Emergency Department Patients.

Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Dimitris Kalles, Vasileios Panteris, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Kolokytha, Polyxeni Batiani, Zoi Rakopoulou, Aikaterini Tika, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Cluster Analysis Assessment in Proposing a Surgical Technique for Benign Prostatic Enlargement.

Lazaros Tzelves, Georgios Feretzakis, Dimitris Kalles, Ioannis Manolitsis, Stamatis Katsimperis, Themistoklis Bellos, Marinos Berdempes, Athanasios Anastasiou, Dimitrios D. Koutsouris, Stavroula Kofopoulou, Vassilios S. Verykios, Andreas Skolarikos, Ioannis Varkarakis

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit.

Aikaterini Sakagianni, Georgios Feretzakis, Dimitris Kalles, Evangelos Loupelis, Zoi Rakopoulou, Ilias Dalainas, Georgios Fildisis

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Using Association Rules in Antimicrobial Resistance in Stone Disease Patients.

Ioannis Manolitsis, Georgios Feretzakis, Lazaros Tzelves, Dimitris Kalles, Evangelos Loupelis, Stamatis Katsimperis, Thanos Kosmidis, Athanasios Anastasiou, Dimitrios D. Koutsouris, Stavroula Kofopoulou, Vassilios S. Verykios, Andreas Skolarikos, Ioannis Varkarakis

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Exploratory Clustering for Emergency Department Patients.

Georgios Feretzakis, Aikaterini Sakagianni, Dimitris Kalles, Evangelos Loupelis, Lazaros Tzelves, Vasileios Panteris, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Kolokytha, Polyxeni Batiani, Zoi Rakopoulou, Aikaterini Tika, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients.

Georgios Feretzakis, Aikaterini Sakagianni, Dimitris Kalles, Evangelos Loupelis, Vasileios Panteris, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Kolokytha, Polyxeni Batiani, Zoi Rakopoulou, Aikaterini Tika, Stavroula Petropoulou, Ilias Dalainas, Vasileios Kaldis

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021

Using machine learning techniques to predict hospital admission at the emergency department.

Georgios Feretzakis, George Karlis, Evangelos Loupelis, Dimitris Kalles, Rea Chatzikyriakou, Nikolaos Trakas, Eugenia Karakou, Aikaterini Sakagianni, Lazaros Tzelves, Stavroula Petropoulou, Aikaterini Tika, Ilias Dalainas, Vasileios Kaldis

CoRR, 2021

Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients.

Chairi Kiourt, Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, George Ioannakis, Evangelos Loupelis, Petros Antonopoulos, Aikaterini Sakagianni

CoRR, 2021

Using Machine Learning to Predict Antimicrobial Resistance of Acinetobacter Baumannii, Klebsiella Pneumoniae and Pseudomonas Aeruginosa Strains.

Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Dimitris Kalles, Maria Martsoukou, Nikoleta Skarmoutsou, Constantinos Christopoulos, Malvina Lada, Aikaterini Velentza, Stavroula Petropoulou, Sophia Michelidou, Vasileios Kaldis, Rea Chatzikyriakou, Ilias Dalainas, Evangelos Dimitrellos

Proceedings of the Public Health and Informatics, 2021

Analyzing Acute Care Surgery Patient Flow in the Emergency Department During COVID-19 Pandemic.

Georgios Feretzakis, Georgios Karlis, Konstantinos Tsekouras, Stamatios Orfanos, Evangelos Loupelis, Stavroula Petropoulou, Konstantinos Mantzouranis, Makrina Tsafaridou, Rea Chatzikyriakou, Aikaterini Sofianou, Paraskevi Zafeiriadou, Aikaterini Tika, Ilias Dalainas, Vasileios Kaldis

Proceedings of the Public Health and Informatics, 2021

Admission and Discharge Following Ambulance Transport to the Emergency Department.

Aikaterini Sakagianni, Georgios Feretzakis, Georgios Karlis, Evangelos Loupelis, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Eugenia Karakou, Stavroula Petropoulou, Aikaterini Tika, Zoi Rakopoulou, Ilias Dalainas, Vasileios Kaldis

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach.

Georgios Feretzakis, Aikaterini Sakagianni, Evangelos Loupelis, Georgios Karlis, Dimitris Kalles, Lazaros Tzelves, Rea Chatzikyriakou, Nikolaos Trakas, Stavroula Petropoulou, Aikaterini Tika, Zoi Rakopoulou, Ilias Dalainas, Vasileios Kaldis

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

Inference Control in a Diabetes Data Set Using a Java-Based Prototype of LDH Algorithm.

Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

2020

Local Distortion Hiding (LDH) Algorithm: a Java-based prototype.

Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios

Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

2019

Knowledge hiding in decision trees

Georgios Feretzakis

PhD thesis, 2019

Using Minimum Local Distortion to Hide Decision Tree Rules.

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

Entropy, 2019

On Using Linear Diophantine Equations for in-Parallel Hiding of Decision Tree Rules.

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

Entropy, 2019

Local Distortion Hiding in Financial Technology application: a case study with a benchmark data set.

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

Proceedings of the 10th International Conference on Information, 2019

Using Microbiological Data Analysis to Tackle Antibiotic Resistance of Klebsiella Pneumoniae.

Georgios Feretzakis, Evangelos Loupelis, Stavroula Petropoulou, Constantinos Christopoulos, Malvina Lada, Maria Martsoukou, Nikoleta Skarmoutsou, Katerina Sakagianni, Sophia Michelidou, Katerina Velentza, Konstantinos Valakis, Emmanouil Koutalas

Proceedings of the Health Informatics Vision: From Data via Information to Knowledge, 2019

Hiding Decision Tree Rules in Medical Data: A Case Study.

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

Proceedings of the Health Informatics Vision: From Data via Information to Knowledge, 2019

2018

On Using Linear Diophantine Equations for Efficient Hiding of Decision Tree Rules.

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

2017

On Using Linear Diophantine Equations to Tune the extent of Look Ahead while Hiding Decision Tree Rules.

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

CoRR, 2017

2016

Data Set Operations to Hide Decision Tree Rules.

Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016