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ORCIDVassilios S. Verykios
- > Home > Persons > Vassilios S. Verykios
Publications
- 2024
[j61]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)- 2023
- [j60]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) - [j58]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) - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c91]Dimitrios Karapiperis, Georgios Feretzakis, Vassilios S. Verykios:
An Experimental Evaluation of the Expectation Maximization Algorithm. IISA 2023: 1-5 - [c88]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 - [c87]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 - [c86]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
- [c84]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 - [c83]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 - 2021
- [c76]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 - 2020
- [c68]Georgios Feretzakis, Konstantinos Mitropoulos, Dimitris Kalles, Vassilios S. Verykios:
Local Distortion Hiding (LDH) Algorithm: a Java-based prototype. SETN 2020: 144-149 - 2019
- [j41]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) - [j40]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
Using Minimum Local Distortion to Hide Decision Tree Rules. Entropy 21(4): 334 (2019) - [c65]Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios:
Hiding Decision Tree Rules in Medical Data: A Case Study. ICIMTH 2019: 368-371 - [c64]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
- [c57]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
- [c51]Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis:
Data set operations to hide decision tree rules. PrAISe@ECAI 2016: 10:1-10:8 - [c50]Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis, Athanasios Papagelis:
Data Set Operations to Hide Decision Tree Rules. ECAI 2016: 1575-1576
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