5 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…