Sfoglia per Autore  QUARANTA, LUIGI

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Mostrati risultati da 1 a 16 di 16
Titolo Data di pubblicazione Autore(i) File
A Partial Replication of Decoding the Representation of Code in the Brain: An fMRI Study of Code Review and Expertise 1-gen-2019 Fucci, D; Girardi, D; Novielli, N; Quaranta, L; Lanubile, F
Towards productizing AI/ML Models: An industry perspective from data scientists 1-gen-2021 Lanubile, F.; Calefato, F.; Quaranta, L.; Amoruso, M.; Fumarola, F.; Filannino, M.
KGTorrent: A dataset of python jupyter notebooks from kaggle 1-gen-2021 Quaranta, L.; Calefato, F.; Lanubile, F.
Eliciting Best Practices for Collaboration with Computational Notebooks 1-gen-2022 Quaranta, Luigi; Calefato, Fabio; Lanubile, Filippo
Assessing the Quality of Computational Notebooks for a Frictionless Transition from Exploration to Production 1-gen-2022 Quaranta, Luigi
Pynblint: A Static Analyzer for Python Jupyter Notebooks 1-gen-2022 Quaranta, L.; Calefato, F.; Lanubile, F.
Assessing Clinical Features of Adolescents Suffering from Depression Who Engage in Non-Suicidal Self-Injury 1-gen-2022 Serra, Maria; Presicci, Anna; Quaranta, Luigi; Caputo, Elvita; Achille, Mariaclara; Margari, Francesco; Croce, Federica; Marzulli, Lucia; Margari, Lucia
Associations of High-Sensitivity C-Reactive Protein and Interleukin-6 with Depression in a Sample of Italian Adolescents During COVID-19 Pandemic 1-gen-2022 Serra, M.; Presicci, A.; Quaranta, L.; Achille, M.; Caputo, E.; Medicamento, S.; Margari, F.; Croce, F.; Margari, L.
A Preliminary Investigation of MLOps Practices in GitHub 1-gen-2022 Calefato, Fabio; Lanubile, Filippo; Quaranta, Luigi
A Taxonomy of Tools for Reproducible Machine Learning Experiments 1-gen-2022 Quaranta, Luigi; Calefato, Fabio; Lanubile, Filippo
Depressive risk among Italian socioeconomically disadvantaged children and adolescents during COVID‑19 pandemic: a cross‑sectional online survey 1-gen-2022 Serra, Maria; Presicci, Anna; Quaranta, Luigi; Urbano, MARIA ROSARIA ERMINIA; Marzulli, Lucia; Matera, Emilia; Margari, Francesco; Margari, Lucia
Assessing the Use of AutoML for Data-Driven Software Engineering 1-gen-2023 Calefato, F.; Quaranta, L.; Lanubile, F.; Kalinowski, M.
Teaching MLOps in Higher Education through Project-Based Learning 1-gen-2023 Lanubile, Filippo; Martínez-Fernández, Silverio; Quaranta, Luigi
Training Future Machine Learning Engineers: A Project-Based Course on MLOps 1-gen-2024 Lanubile, Filippo; Martínez-Fernández, Silverio; Quaranta, Luigi
Leveraging GPT-like LLMs to Automate Issue Labeling 1-gen-2024 Colavito, Giuseppe; Lanubile, Filippo; Novielli, Nicole; Quaranta, Luigi
Impact of Data Quality for Automatic Issue Classification Using Pre-trained Language Models In corso di stampa Colavito, Giuseppe; Lanubile, Filippo; Novielli, Nicole; Quaranta, Luigi
Mostrati risultati da 1 a 16 di 16
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