Data Set Operations to Hide Decision Tree Rules. - Dimitris Kalles; Vassilios S. Verykios; Georgios Feretzakis; Athanasios Papagelis (ECAI, 2016)

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)

On Using Linear Diophantine Equations for Efficient Hiding of Decision Tree Rules. - Georgios Feretzakis; Dimitris Kalles; Vassilios S. Verykios (SETN, 2018)

Hiding Decision Tree Rules in Medical Data: A Case Study. - Georgios Feretzakis; Dimitris Kalles; Vassilios S. Verykios (ICIMTH, 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 (ICIMTH, 2019)

Local Distortion Hiding in Financial Technology application: a case study with a benchmark data set. - Georgios Feretzakis; Dimitris Kalles; Vassilios S. Verykios (IISA, 2019)

On Using Linear Diophantine Equations for in-Parallel Hiding of Decision Tree Rules. - Georgios Feretzakis; Dimitris Kalles; Vassilios S. Verykios (Entropy, 2019)

Using Minimum Local Distortion to Hide Decision Tree Rules. - Georgios Feretzakis; Dimitris Kalles; Vassilios S. Verykios (Entropy, 2019)

Knowledge hiding in decision trees - Georgios Feretzakis (2019)

Local Distortion Hiding (LDH) Algorithm: a Java-based prototype. - Georgios Feretzakis; Konstantinos Mitropoulos; Dimitris Kalles; Vassilios S. Verykios (SETN, 2020)

Inference Control in a Diabetes Data Set Using a Java-Based Prototype of LDH Algorithm. - Georgios Feretzakis; Konstantinos Mitropoulos; Dimitris Kalles; Vassilios S. Verykios (ICIMTH, 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; et al. (ICIMTH, 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; et al. (ICIMTH, 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; et al. (MIE, 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; et al. (MIE, 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 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; et al. (CoRR, 2021)

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; et al. (ICIMTH, 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; et al. (ICIMTH, 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; et al. (ICIMTH, 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 (ICIMTH, 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; et al. (ICIMTH, 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; et al. (MIE, 2022)

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 (ICIMTH, 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 (ICIMTH, 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 (ICIMTH, 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 (ICIMTH, 2023)

An Experimental Evaluation of the Expectation Maximization Algorithm. - Dimitrios Karapiperis; Georgios Feretzakis; Vassilios S. Verykios (IISA, 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 (IISA, 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; et al. (MIE, 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 (MIE, 2023)

Community detection and social presence in students' discussion fora. - Evgenia Paxinou; Evangelia Manousou; Georgios Feretzakis; Vassilios S. Verykios (Intell. Decis. Technol., 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)

Securing a Generative AI-Powered Healthcare Chatbot. - Georgios Feretzakis; Athanasios Anastasiou; Stavros Pitoglou; Evgenia Paxinou; Aris Gkoulalas-Divanis; Konstantinos Kalodanis; Ioannis Tsapelas; Dimitris Kalles; Vassilios S. Verykios (EFMI-STC, 2024)

Leveraging Cancer Therapy Peptide Data: A Case Study on Machine Learning Application in Accelerating Cancer Research. - Georgios Feretzakis; Athanasios Anastasiou; Stavros Pitoglou; Aikaterini Sakagianni; Zoi Rakopoulou; Konstantinos Kalodanis; Vasileios Kaldis; Evgenia Paxinou; Dimitris Kalles; Vassilios S. Verykios (EFMI-STC, 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 (AIAI (4), 2024)

Integrating Cluster Analysis and Predictive Modeling for COVID-19 Treatment Outcomes: A Machine Learning Framework. - Georgios Feretzakis; Aikaterini Sakagianni; Evgenia Paxinou; Vassilios S. Verykios (IISA, 2024)

Decoding Students' Paths in Moodle to Distill Significance of Learning Resources. - Evgenia Paxinou; Georgios Feretzakis; Rozita Tsoni; Dimitrios Karapiperis; Dimitrios Kalles; Vassilios S. Verykios (IISA, 2024)

An Automated Text Summarization Approach for Open-ended Responses in Student Online Surveys. - George Vorvilas; Despoina Pantazi; Evgenia Paxinou; Georgios Feretzakis; Dimitrios Kalles; Achilles Kameas; Nikos Karousos; Vassilios S. Verykios (IISA, 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 (MIE, 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; et al. (MIE, 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 (MIE, 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; et al. (MIE, 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 (MIE, 2024)

Enhancing Transparency in Large Language Models to Meet EU AI Act Requirements. - Konstantinos Kalodanis; Panagiotis Rizomiliotis; Georgios Feretzakis; Dimitrios Kalles; Vassilios S. Verykios; Dimosthenis Anagnostopoulos (PCI, 2024)

Optimizing Sample Size in Machine Learning: Balancing Complexity and Generalization. - Dimitrios Karapiperis; Georgios Feretzakis; Dimitris Kalles; Vassilios S. Verykios (PCI, 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)

Trustworthy AI: Securing Sensitive Data in Large Language Models. - Georgios Feretzakis; Vassilios S. Verykios (CoRR, 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, 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., 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, 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, 2024)

GDPR and Large Language Models: Technical and Legal Obstacles. - Georgios Feretzakis; Evangelia Vagena; Konstantinos Kalodanis; Paraskevi Peristera; Dimitris Kalles; Athanasios Anastasiou (Future Internet, 2025)

High-Risk AI Systems - Lie Detection Application. - Konstantinos Kalodanis; Panagiotis Rizomiliotis; Georgios Feretzakis; Charalampos Papapavlou; Dimosthenis Anagnostopoulos (Future Internet, 2025)

Validating emergency department admission predictions based on local data through MIMIC-IV. - Francesca Meimeti; Loukas Triantafyllopoulos; Aikaterini Sakagianni; Vasileios Kaldis; Lazaros Tzelves; Nikolaos Theodorakis; Evgenia Paxinou; Georgios Feretzakis; Dimitris Kalles; Vassilios S. Verykios (Intell. Decis. Technol., 2025)

Semantic Synergy: Unlocking Policy Insights and Learning Pathways Through Advanced Skill Mapping. - Phoebe Koundouri; Conrad Landis; Georgios Feretzakis (CoRR, 2025)