Georgios Feretzakis

66 papers A 1Journal 23Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PhishCluster: Real-Time, Density-Based Discovery of Malicious URL Campaigns from Semantic Embeddings. Inf. Dimitrios Karapiperis, Georgios Feretzakis, Sarandis Mitropoulos
2025	—	`conf`	Advancing Dermatology Diagnostics with Vision Transformers for Binary Skin Lesion Classification. IWBBIO (1) Magdalini Kreouzi, Nikolaos Theodorakis, Athanasios Anastasiou, Konstantinos Kalodanis, Aikaterini Sakagianni, Effrosyni Bazakidou, Iris Zoe Boufeas, George Dimitrakopoulos, Konstantina Karathanasopoulou, Maria Nikolaou, Georgios Feretzakis
2025	—	`conf`	An Experimental Evaluation of Pre-Trained Models for Efficient and Accurate Record Linkage. IISA Dimitrios Karapiperis, Georgios Feretzakis, Vassilios S. Verykios
2025	J	`jnl`	Correction: Kalodanis et al. High-Risk AI Systems - Lie Detection Application. Future Internet 2025, 17, 26. Future Internet Konstantinos Kalodanis, Panagiotis Rizomiliotis, Georgios Feretzakis, Charalampos Papapavlou, Dimosthenis Anagnostopoulos
2025	J	`jnl`	Enhancing Security in 5G and Future 6G Networks: Machine Learning Approaches for Adaptive Intrusion Detection and Prevention. Future Internet Konstantinos Kalodanis, Charalampos Papapavlou, Georgios Feretzakis
2025	J	`jnl`	GDPR and Large Language Models: Technical and Legal Obstacles. Future Internet Georgios Feretzakis, Evangelia Vagena, Konstantinos Kalodanis, Paraskevi Peristera, Dimitris Kalles, Athanasios Anastasiou
2025	J	`jnl`	High-Risk AI Systems - Lie Detection Application. Future Internet Konstantinos Kalodanis, Panagiotis Rizomiliotis, Georgios Feretzakis, Charalampos Papapavlou, Dimosthenis Anagnostopoulos
2025	J	`jnl`	Semantic Synergy: Unlocking Policy Insights and Learning Pathways Through Advanced Skill Mapping. CoRR Phoebe Koundouri, Conrad Landis, Georgios Feretzakis
2025	—	`conf`	The Socratic Turn in AI: Reviewing the Transformation of LLMs into Dialogical Educators. IISA Diamanto Tzanoulinou, Loukas Triantafyllopoulos, Evgenia Paxinou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2025	J	`jnl`	Validating Emergency Department Admission Predictions Based on Local Data Through MIMIC-IV. CoRR Francesca Meimeti, Loukas Triantafyllopoulos, Aikaterini Sakagianni, Vasileios Kaldis, Lazaros Tzelves, Nikolaos Theodorakis, Evgenia Paxinou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2025	J	`jnl`	Validating emergency department admission predictions based on local data through MIMIC-IV. Intell. Decis. Technol. Francesca Meimeti, Loukas Triantafyllopoulos, Aikaterini Sakagianni, Vasileios Kaldis, Lazaros Tzelves, Nikolaos Theodorakis, Evgenia Paxinou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2024	—	`conf`	Advancing Cardiovascular Mortality Trend Analysis: A Machine Learning Approach to Predict Future Health Policy Needs. MIE 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
2024	—	`conf`	An Automated Text Summarization Approach for Open-ended Responses in Student Online Surveys. IISA George Vorvilas, Despoina Pantazi, Evgenia Paxinou, Georgios Feretzakis, Dimitrios Kalles, Achilles Kameas, Nikos Karousos, Vassilios S. Verykios
2024	—	`conf`	Comparative Analysis of Macular and Optic Disc Perfusion Pre and Post Silicone Oil Removal: A Machine Learning Approach. MIE Georgios Feretzakis, Christina Karakosta, Aris Gkoulalas-Divanis, Dimitrios Karapiperis, Andreas F. Gkontzis, Evgenia Paxinou, Christina Kourentis, Vassilios S. Verykios
2024	—	`conf`	Decoding Students' Paths in Moodle to Distill Significance of Learning Resources. IISA Evgenia Paxinou, Georgios Feretzakis, Rozita Tsoni, Dimitrios Karapiperis, Dimitrios Kalles, Vassilios S. Verykios
2024	—	`conf`	Enhancing Pulmonary Embolism Detection in COVID-19 Patients Through Advanced Deep Learning Techniques. MIE Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Chairi Kiourt, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, Vassilios S. Verykios, George Ioannakis, Evangelos Loupelis, Aikaterini Sakagianni
2024	—	`conf`	Enhancing Transparency in Large Language Models to Meet EU AI Act Requirements. PCI Konstantinos Kalodanis, Panagiotis Rizomiliotis, Georgios Feretzakis, Dimitrios Kalles, Vassilios S. Verykios, Dimosthenis Anagnostopoulos
2024	J	`jnl`	Enhancing Urban Resilience: Smart City Data Analyses, Forecasts, and Digital Twin Techniques at the Neighborhood Level. Future Internet Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis, Vassilios S. Verykios
2024	—	`conf`	Evaluating ChatGPT 4.0's User Satisfaction Among Doctors Across Different Medical Departments. MIE Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles
2024	J	`jnl`	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. Comput. Hum. Behav. Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles
2024	—	`conf`	From Affect Regulation to BMI: Unveiling Childhood Obesity Patterns Through Advanced Clustering Techniques. MIE 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
2024	—	`conf`	Integrating Cluster Analysis and Predictive Modeling for COVID-19 Treatment Outcomes: A Machine Learning Framework. IISA Georgios Feretzakis, Aikaterini Sakagianni, Evgenia Paxinou, Vassilios S. Verykios
2024	—	`conf`	Leveraging Cancer Therapy Peptide Data: A Case Study on Machine Learning Application in Accelerating Cancer Research. EFMI-STC Georgios Feretzakis, Athanasios Anastasiou, Stavros Pitoglou, Aikaterini Sakagianni, Zoi Rakopoulou, Konstantinos Kalodanis, Vasileios Kaldis, Evgenia Paxinou, Dimitris Kalles, Vassilios S. Verykios
2024	J	`jnl`	Mapping How Artificial Intelligence Blends with Healthcare: Insights from a Bibliometric Analysis. Future Internet Loukas Triantafyllopoulos, Evgenia Paxinou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2024	—	`conf`	Optimizing Sample Size in Machine Learning: Balancing Complexity and Generalization. PCI Dimitrios Karapiperis, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2024	J	`jnl`	Privacy-Preserving Techniques in Generative AI and Large Language Models: A Narrative Review. Inf. Georgios Feretzakis, Konstantinos Papaspyridis, Aris Gkoulalas-Divanis, Vassilios S. Verykios
2024	—	`conf`	Securing a Generative AI-Powered Healthcare Chatbot. EFMI-STC Georgios Feretzakis, Athanasios Anastasiou, Stavros Pitoglou, Evgenia Paxinou, Aris Gkoulalas-Divanis, Konstantinos Kalodanis, Ioannis Tsapelas, Dimitris Kalles, Vassilios S. Verykios
2024	J	`jnl`	Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis. Big Data Cogn. Comput. Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis, Vassilios S. Verykios
2024	—	`conf`	The Faculty Assignment Problem in Higher Education: A Shapley Value-Based Approach. AIAI (4) Vassilios S. Verykios, Evgenia Paxinou, Aris Gkoulalas-Divanis, Manolis Tzagarakis, Sotirios Kotsiantis, Georgios Feretzakis, Dimitris Kalles
2024	J	`jnl`	Tracing Student Activity Patterns in E-Learning Environments: Insights into Academic Performance. Future Internet Evgenia Paxinou, Georgios Feretzakis, Rozita Tsoni, Dimitrios Karapiperis, Dimitrios Kalles, Vassilios S. Verykios
2024	J	`jnl`	Trustworthy AI: Securing Sensitive Data in Large Language Models. CoRR Georgios Feretzakis, Vassilios S. Verykios
2023	—	`conf`	A Deep Learning Model for Classifying Histological Types of Colorectal Polyps. ICIMTH Vasileios Panteris, Dimitris Kalles, Vassilios S. Verykios, Stefani Vgenopoulou, Aikaterini Pierrakou, Ilias Dalainas, Georgios Feretzakis
2023	—	`conf`	A Machine Learning Pipeline Using KNIME to Predict Hospital Admission in the MIMIC-IV Database. IISA Rozita Tsoni, Vasileios Kaldis, Ioanna Kapogianni, Aikaterini Sakagianni, Georgios Feretzakis, Vassilios S. Verykios
2023	J	`jnl`	A Probabilistic Approach to Modeling Students' Interactions in a Learning Management System for Facilitating Distance Learning. Inf. Dimitrios Karapiperis, Katerina Tzafilkou, Rozita Tsoni, Georgios Feretzakis, Vassilios S. Verykios
2023	—	`conf`	Acceptance of Artificial Intelligence in Supporting Cancer Patients. ICIMTH 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
2023	—	`conf`	An Experimental Evaluation of the Expectation Maximization Algorithm. IISA Dimitrios Karapiperis, Georgios Feretzakis, Vassilios S. Verykios
2023	—	`conf`	Automated ML Techniques for Predicting COVID-19 Mortality in the ICU. ICIMTH Aikaterini Sakagianni, Christina Koufopoulou, Dimitrios Kalles, Evangelos Loupelis, Vassilios S. Verykios, Georgios Feretzakis
2023	J	`jnl`	Community detection and social presence in students' discussion fora. Intell. Decis. Technol. Evgenia Paxinou, Evangelia Manousou, Georgios Feretzakis, Vassilios S. Verykios
2023	—	`conf`	Convolutional Neural Networks for Optical Discrimination Between Histological Types of Colorectal Polyps Based on White Light Endoscopic Images. MIE 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
2023	—	`conf`	Prediction of COVID-19 Mortality in the Intensive Care Unit Using Machine Learning. MIE Aikaterini Sakagianni, Christina Koufopoulou, Vassilios S. Verykios, Evangelos Loupelis, Dimitrios Kalles, Georgios Feretzakis
2023	—	`conf`	Training ChatGPT Models in Assisting Urologists in Daily Practice. ICIMTH 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
2022	—	`conf`	Cluster Analysis Assessment in Proposing a Surgical Technique for Benign Prostatic Enlargement. ICIMTH 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
2022	—	`conf`	Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit. ICIMTH Aikaterini Sakagianni, Georgios Feretzakis, Dimitris Kalles, Evangelos Loupelis, Zoi Rakopoulou, Ilias Dalainas, Georgios Fildisis
2022	—	`conf`	Exploratory Clustering for Emergency Department Patients. ICIMTH 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
2022	—	`conf`	Prediction of Hospitalization Using Machine Learning for Emergency Department Patients. MIE 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
2022	—	`conf`	Using Association Rules in Antimicrobial Resistance in Stone Disease Patients. ICIMTH 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
2022	—	`conf`	Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients. ICIMTH 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
2021	—	`conf`	Admission and Discharge Following Ambulance Transport to the Emergency Department. ICIMTH 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
2021	—	`conf`	Analyzing Acute Care Surgery Patient Flow in the Emergency Department During COVID-19 Pandemic. MIE 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
2021	—	`conf`	Inference Control in a Diabetes Data Set Using a Java-Based Prototype of LDH Algorithm. ICIMTH Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios
2021	—	`conf`	Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach. ICIMTH 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
2021	J	`jnl`	Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients. CoRR Chairi Kiourt, Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, George Ioannakis, Evangelos Loupelis, Petros Antonopoulos, Aikaterini Sakagianni
2021	—	`conf`	Using Machine Learning to Predict Antimicrobial Resistance of Acinetobacter Baumannii, Klebsiella Pneumoniae and Pseudomonas Aeruginosa Strains. MIE 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
2021	J	`jnl`	Using machine learning techniques to predict hospital admission at the emergency department. CoRR 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
2020	—	`conf`	Local Distortion Hiding (LDH) Algorithm: a Java-based prototype. SETN Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios
2019	—	`conf`	Hiding Decision Tree Rules in Medical Data: A Case Study. ICIMTH Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2019	—	`—`	Knowledge hiding in decision trees Georgios Feretzakis
2019	—	`conf`	Local Distortion Hiding in Financial Technology application: a case study with a benchmark data set. IISA Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2019	J	`jnl`	On Using Linear Diophantine Equations for in-Parallel Hiding of Decision Tree Rules. Entropy Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2019	—	`conf`	Using Microbiological Data Analysis to Tackle Antibiotic Resistance of Klebsiella Pneumoniae. ICIMTH Georgios Feretzakis, Evangelos Loupelis, Stavroula Petropoulou, Constantinos Christopoulos, Malvina Lada, Maria Martsoukou, Nikoleta Skarmoutsou, Katerina Sakagianni, Sophia Michelidou, Katerina Velentza, Konstantinos Valakis, Emmanouil Koutalas
2019	J	`jnl`	Using Minimum Local Distortion to Hide Decision Tree Rules. Entropy Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2018	—	`conf`	On Using Linear Diophantine Equations for Efficient Hiding of Decision Tree Rules. SETN Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2017	J	`jnl`	Data set operations to hide decision tree rules. CoRR Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis
2017	J	`jnl`	On Using Linear Diophantine Equations to Tune the extent of Look Ahead while Hiding Decision Tree Rules. CoRR Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
2016	A	`conf`	Data Set Operations to Hide Decision Tree Rules. ECAI Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis
2016	—	`conf`	Data set operations to hide decision tree rules. PrAISe@ECAI Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis