default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGeorgios Feretzakis
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j9]Andreas F. Gkontzis
, Sotiris Kotsiantis, Georgios Feretzakis, Vassilios S. Verykios:
Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis. Big Data Cogn. Comput. 8(3): 27 (2024)- [j8]Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles:
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. 161: 108404 (2024) - [j7]Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis, Vassilios S. Verykios:
Enhancing Urban Resilience: Smart City Data Analyses, Forecasts, and Digital Twin Techniques at the Neighborhood Level. Future Internet 16(2): 47 (2024) - [j6]Evgenia Paxinou, Georgios Feretzakis, Rozita Tsoni, Dimitrios Karapiperis, Dimitrios Kalles, Vassilios S. Verykios:
Tracing Student Activity Patterns in E-Learning Environments: Insights into Academic Performance. Future Internet 16(6): 190 (2024) - [j5]Loukas Triantafyllopoulos, Evgenia Paxinou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
Mapping How Artificial Intelligence Blends with Healthcare: Insights from a Bibliometric Analysis. Future Internet 16(7): 221 (2024) - [c32]Vassilios S. Verykios, Evgenia Paxinou, Aris Gkoulalas-Divanis, Manolis Tzagarakis, Sotirios Kotsiantis, Georgios Feretzakis, Dimitris Kalles:
The Faculty Assignment Problem in Higher Education: A Shapley Value-Based Approach. AIAI (4) 2024: 224-237 - [c31]Loukas Triantafyllopoulos, Georgios Feretzakis, Lazaros Tzelves, Aikaterini Sakagianni, Vassilios S. Verykios, Dimitris Kalles:
Evaluating ChatGPT 4.0's User Satisfaction Among Doctors Across Different Medical Departments. MIE 2024: 535-539 - [c30]Georgios Feretzakis, Christina Karakosta, Aris Gkoulalas-Divanis, Dimitrios Karapiperis, Andreas F. Gkontzis, Evgenia Paxinou, Christina Kourentis, Vassilios S. Verykios:
Comparative Analysis of Macular and Optic Disc Perfusion Pre and Post Silicone Oil Removal: A Machine Learning Approach. MIE 2024: 863-867 - [c29]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:
Advancing Cardiovascular Mortality Trend Analysis: A Machine Learning Approach to Predict Future Health Policy Needs. MIE 2024: 868-872 - [c28]Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Chairi Kiourt, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, Vassilios S. Verykios, George Ioannakis, Evangelos Loupelis, Aikaterini Sakagianni:
Enhancing Pulmonary Embolism Detection in COVID-19 Patients Through Advanced Deep Learning Techniques. MIE 2024: 1184-1188 - [c27]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:
From Affect Regulation to BMI: Unveiling Childhood Obesity Patterns Through Advanced Clustering Techniques. MIE 2024: 1714-1715 - [i5]Georgios Feretzakis, Vassilios S. Verykios:
Trustworthy AI: Securing Sensitive Data in Large Language Models. CoRR abs/2409.18222 (2024) - 2023
- [j4]Evgenia Paxinou, Evangelia Manousou, Georgios Feretzakis, Vassilios S. Verykios:
Community detection and social presence in students' discussion fora. Intell. Decis. Technol. 17(4): 879-891 (2023) - [j3]Dimitrios Karapiperis, Katerina Tzafilkou, Rozita Tsoni, Georgios Feretzakis, Vassilios S. Verykios:
A Probabilistic Approach to Modeling Students' Interactions in a Learning Management System for Facilitating Distance Learning. Inf. 14(8): 440 (2023) - [c26]Aikaterini Sakagianni, Christina Koufopoulou, Dimitrios Kalles, Evangelos Loupelis, Vassilios S. Verykios, Georgios Feretzakis:
Automated ML Techniques for Predicting COVID-19 Mortality in the ICU. ICIMTH 2023: 517-520 - [c25]Vasileios Panteris, Dimitris Kalles, Vassilios S. Verykios, Stefani Vgenopoulou, Aikaterini Pierrakou, Ilias Dalainas, Georgios Feretzakis:
A Deep Learning Model for Classifying Histological Types of Colorectal Polyps. ICIMTH 2023: 549-552 - [c24]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:
Acceptance of Artificial Intelligence in Supporting Cancer Patients. ICIMTH 2023: 572-575 - [c23]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:
Training ChatGPT Models in Assisting Urologists in Daily Practice. ICIMTH 2023: 576-579 - [c22]Dimitrios Karapiperis, Georgios Feretzakis, Vassilios S. Verykios:
An Experimental Evaluation of the Expectation Maximization Algorithm. IISA 2023: 1-5 - [c21]Rozita Tsoni, Vasileios Kaldis, Ioanna Kapogianni, Aikaterini Sakagianni, Georgios Feretzakis, Vassilios S. Verykios:
A Machine Learning Pipeline Using KNIME to Predict Hospital Admission in the MIMIC-IV Database. IISA 2023: 1-6 - [c20]Aikaterini Sakagianni, Christina Koufopoulou, Vassilios S. Verykios, Evangelos Loupelis, Dimitrios Kalles, Georgios Feretzakis:
Prediction of COVID-19 Mortality in the Intensive Care Unit Using Machine Learning. MIE 2023: 536-540 - [c19]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:
Convolutional Neural Networks for Optical Discrimination Between Histological Types of Colorectal Polyps Based on White Light Endoscopic Images. MIE 2023: 576-580 - 2022
- [c18]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:
Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients. ICIMTH 2022: 405-408 - [c17]Aikaterini Sakagianni, Georgios Feretzakis, Dimitris Kalles, Evangelos Loupelis, Zoi Rakopoulou, Ilias Dalainas, Georgios Fildisis:
Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit. ICIMTH 2022: 430-433 - [c16]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:
Using Association Rules in Antimicrobial Resistance in Stone Disease Patients. ICIMTH 2022: 462-465 - [c15]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:
Cluster Analysis Assessment in Proposing a Surgical Technique for Benign Prostatic Enlargement. ICIMTH 2022: 466-469 - [c14]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:
Exploratory Clustering for Emergency Department Patients. ICIMTH 2022: 503-506 - [c13]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:
Prediction of Hospitalization Using Machine Learning for Emergency Department Patients. MIE 2022: 145-146 - 2021
- [c12]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:
Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach. ICIMTH 2021: 297-300 - [c11]Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios:
Inference Control in a Diabetes Data Set Using a Java-Based Prototype of LDH Algorithm. ICIMTH 2021: 414-417 - [c10]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:
Admission and Discharge Following Ambulance Transport to the Emergency Department. ICIMTH 2021: 418-421 - [c9]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:
Using Machine Learning to Predict Antimicrobial Resistance of Acinetobacter Baumannii, Klebsiella Pneumoniae and Pseudomonas Aeruginosa Strains. MIE 2021: 43-47 - [c8]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:
Analyzing Acute Care Surgery Patient Flow in the Emergency Department During COVID-19 Pandemic. MIE 2021: 540-544 - [i4]Chairi Kiourt, Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, George Ioannakis, Evangelos Loupelis, Petros Antonopoulos, Aikaterini Sakagianni:
Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients. CoRR abs/2105.11187 (2021) - [i3]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:
Using machine learning techniques to predict hospital admission at the emergency department. CoRR abs/2106.12921 (2021) - 2020
- [c7]Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios:
Local Distortion Hiding (LDH) Algorithm: a Java-based prototype. SETN 2020: 144-149
2010 – 2019
- 2019
- [b1]Georgios Feretzakis:
Knowledge hiding in decision trees. Hellenic Open University, Greece, 2019 - [j2]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
On Using Linear Diophantine Equations for in-Parallel Hiding of Decision Tree Rules. Entropy 21(1): 66 (2019) - [j1]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
Using Minimum Local Distortion to Hide Decision Tree Rules. Entropy 21(4): 334 (2019) - [c6]Georgios Feretzakis, Evangelos Loupelis, Stavroula Petropoulou, Constantinos Christopoulos, Malvina Lada, Maria Martsoukou, Nikoleta Skarmoutsou, Katerina Sakagianni, Sophia Michelidou, Katerina Velentza, Konstantinos Valakis, Emmanouil Koutalas:
Using Microbiological Data Analysis to Tackle Antibiotic Resistance of Klebsiella Pneumoniae. ICIMTH 2019: 180-183 - [c5]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
Hiding Decision Tree Rules in Medical Data: A Case Study. ICIMTH 2019: 368-371 - [c4]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
Local Distortion Hiding in Financial Technology application: a case study with a benchmark data set. IISA 2019: 1-4 - 2018
- [c3]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
On Using Linear Diophantine Equations for Efficient Hiding of Decision Tree Rules. SETN 2018: 12:1-12:8 - 2017
- [i2]Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis:
Data set operations to hide decision tree rules. CoRR abs/1706.05733 (2017) - [i1]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
On Using Linear Diophantine Equations to Tune the extent of Look Ahead while Hiding Decision Tree Rules. CoRR abs/1710.07214 (2017) - 2016
- [c2]Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis:
Data set operations to hide decision tree rules. PrAISe@ECAI 2016: 10:1-10:8 - [c1]Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis:
Data Set Operations to Hide Decision Tree Rules. ECAI 2016: 1575-1576
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-18 20:31 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
