4 citations · 5 across the 8 of their papers we have counts for
8 papers
When AI Joins the Team! A Model of How AI Adoption Relates To Social Patterns in Software Engineering Teams
Giusy Annunziata, Rudrajit Choudhuri, Anita Sarma +2
Context: The growing adoption of AI-assisted development tools is changing how software teams collaborate, share knowledge, and coordinate, yet its consequences for team social dyn…
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…
Socio-Technical Well-Being of Quantum Software Communities: An Overview on Community Smells
Stefano Lambiase, Manuel De Stefano, Fabio Palomba +2
Quantum computing has gained significant attention due to its potential to solve computational problems beyond the capabilities of classical computers. With major corporations and…
Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner's Perspective
Vincenzo De Martino, Stefano Lambiase, Fabiano Pecorelli +3
Software sustainability is a key multifaceted non-functional requirement that encompasses environmental, social, and economic concerns, yet its integration into the development of…
How Do Communities of ML-Enabled Systems Smell? A Cross-Sectional Study on the Prevalence of Community Smells
Giusy Annunziata, Stefano Lambiase, Fabio Palomba +2
Effective software development relies on managing both collaboration and technology, but sociotechnical challenges can harm team dynamics and increase technical debt. Although team…
AI University: An LLM-Powered Learning Assistant for Engineering---A Finite Element Method Case Study
Mostafa Faghih Shojaei, Rahul Gulati, Benjamin A. Jasperson +6
We introduce AI University (AI-U), a flexible framework for AI-driven course content delivery that adapts to a course's instructional style. AI-U combines a fine-tuned large langua…
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…
An International and Multidisciplinary Teaching Experience with Real Industrial Team Project Development
Martin Mellado, Eduardo Vendrell, Filomena Ferrucci +3
This paper presents the design, objectives, experiences, and results of an international cooperation project funded by the European Commission in the context of the Erasmus Intensi…