81 citations · 83 across the 9 of their papers we have counts for
9 papers
Artificial Intelligence and Cost Reduction in Public Higher Education: A Scoping Review of Emerging Evidence
Diamanto Tzanoulinou, Loukas Triantafyllopoulos, George Vorvilas +7
Public higher education systems face increasing financial pressures from expanding student populations, rising operational costs, and persistent demands for equitable access. Artif…
ALER: An Active Learning Hybrid System for Efficient Entity Resolution
Dimitrios Karapiperis, Leonidas Akritidis, Panayiotis Bozanis +1
Entity Resolution (ER) is a critical task for data integration, yet state-of-the-art supervised deep learning models remain impractical for many real-world applications due to thei…
SPER: Accelerating Progressive Entity Resolution via Stochastic Bipartite Maximization
Dimitrios Karapiperis, George Papadakis, Vassilios Verykios
Entity Resolution (ER) is a critical data cleaning task for identifying records that refer to the same real-world entity. In the era of Big Data, traditional batch ER is often infe…
Validating Emergency Department Admission Predictions Based on Local Data Through MIMIC-IV
Francesca Meimeti, Loukas Triantafyllopoulos, Aikaterini Sakagianni +7
The effective management of Emergency Department (ED) overcrowding is essential for improving patient outcomes and optimizing healthcare resource allocation. This study validates h…
Trustworthy AI: Securing Sensitive Data in Large Language Models
Georgios Feretzakis, Vassilios S. Verykios
Large Language Models (LLMs) have transformed natural language processing (NLP) by enabling robust text generation and understanding. However, their deployment in sensitive domains…
Privacy-Preserving Record Linkage
Dinusha Vatsalan, Dimitrios Karapiperis, Vassilios S. Verykios
Given several databases containing person-specific data held by different organizations, Privacy-Preserving Record Linkage (PPRL) aims to identify and link records that correspond…
A Frequent Itemset Hiding Toolbox
Vasileios Kagklis, Elias C. Stavropoulos, Vassilios S. Verykios
Advances in data collection and data storage technologies have given way to the establishment of transactional databases among companies and organizations, as they allow enormous a…
On Using Linear Diophantine Equations to Tune the extent of Look Ahead while Hiding Decision Tree Rules
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
This paper focuses on preserving the privacy of sensitive pat-terns when inducing decision trees. We adopt a record aug-mentation approach for hiding sensitive classification rules…
Data set operations to hide decision tree rules
Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis +1
This paper focuses on preserving the privacy of sensitive patterns when inducing decision trees. We adopt a record augmentation approach for hiding sensitive classification rules i…