Andrea Esposito
Biographic Data
| ID | 7903332 |
|---|---|
| NAME | Andrea Esposito |
| GIVEN NAMES | Andrea |
| FAMILY NAME | Esposito |
| SIGNATURE | ESPOSITO A |
| AFFILIATIONS | Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico |
| ORCID | 0000-0001-5534-2620 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Understanding user mental models in AI-driven code completion tools
Integrated Development Environments increasingly implement AI-powered code completion tools (CCTs), which promise to enhance developer efficiency, accuracy, and productivity. However, interaction challenges with CCTs persist, mainly due to mismatches between developers’ mental models and the unpredictable behavior of AI-generated suggestions, which is an aspect underexplored in the literature. We conducted an elicitation study with 56 developers …
Spondylodiscitis in Paediatric Patients
Background: Spondylodiscitis (SD), the concurrent infection of a vertebral disc and the adjacent vertebral bodies, is a very severe disease that can lead to death or cause spinal deformities, segmental instabilities, and chronic pain, which significantly reduces the quality of life for affected patients. Early diagnosis and treatment are essential in order to reduce the risk of negative outcomes. The two cases of SD that are described in this pap…
No prominent works on this page.
Spondylodiscitis in Paediatric Patients
Background: Spondylodiscitis (SD), the concurrent infection of a vertebral disc and the adjacent vertebral bodies, is a very severe disease that can lead to death or cause spinal deformities, segmental instabilities, and chronic pain, which significantly reduces the quality of life for affected patients. Early diagnosis and treatment are essential in order to reduce the risk of negative outcomes. The two cases of SD that are described in this pap…
Understanding user mental models in AI-driven code completion tools
Integrated Development Environments increasingly implement AI-powered code completion tools (CCTs), which promise to enhance developer efficiency, accuracy, and productivity. However, interaction challenges with CCTs persist, mainly due to mismatches between developers’ mental models and the unpredictable behavior of AI-generated suggestions, which is an aspect underexplored in the literature. We conducted an elicitation study with 56 developers …
Amoebic Infections and Treatments (1 work) · Ankylosing spondylitis (1 work) · Cognitive science (1 work) · Computer Science (1 work) · Data science (1 work) · Discitis (1 work) · Infectious Diseases and Tuberculosis (1 work) · Lumbar (1 work) · Magnetic resonance imaging (1 work) · Medicine (1 work)