4 citations · 9 across the 5 of their papers we have counts for
5 papers
The -Index: A Penalized Authorship-Integrity Framework for Position-Weighted Scientific Contribution
Athanasios Angelakis
Publication and citation indicators commonly assign full credit to every coauthor, obscuring differences in authorship role and potentially rewarding accumulated authorship rather…
Machine-Learning-Enhanced Non-Invasive Testing for MASLD Fibrosis: Shallow-Deep Neural Networks Versus FIB-4, Tabular Foundation Models, and Large Language Models
Athanasios Angelakis, Gabriele De Vito, Eleni-Myrto Trifylli +1
Advanced fibrosis is a major determinant of liver-related morbidity in metabolic dysfunction-associated steatotic liver disease (MASLD). FIB-4 is widely used as a first-line non-in…
LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
Gabriele De Vito, Filomena Ferrucci, Athanasios Angelakis
The increasing volume of drug combinations in modern therapeutic regimens needs reliable methods for predicting drug-drug interactions (DDIs). While Large Language Models (LLMs) ha…
HELIOT: LLM-Based CDSS for Adverse Drug Reaction Management
Gabriele De Vito, Filomena Ferrucci, Athanasios Angelakis
Medication errors significantly threaten patient safety, leading to adverse drug events and substantial economic burdens on healthcare systems. Clinical Decision Support Systems (C…
A data-centric approach to class-specific bias in image data augmentation
Athanasios Angelakis, Andrey Rass
Data augmentation (DA) enhances model generalization in computer vision but may introduce biases, impacting class accuracy unevenly. Our study extends this inquiry, examining DA's…