Sfoglia per Autore QUARANTA, LUIGI
A Partial Replication of Decoding the Representation of Code in the Brain: An fMRI Study of Code Review and Expertise
2019-01-01 Fucci, D; Girardi, D; Novielli, N; Quaranta, L; Lanubile, F
Towards productizing AI/ML Models: An industry perspective from data scientists
2021-01-01 Lanubile, F.; Calefato, F.; Quaranta, L.; Amoruso, M.; Fumarola, F.; Filannino, M.
KGTorrent: A dataset of python jupyter notebooks from kaggle
2021-01-01 Quaranta, L.; Calefato, F.; Lanubile, F.
Eliciting Best Practices for Collaboration with Computational Notebooks
2022-01-01 Quaranta, Luigi; Calefato, Fabio; Lanubile, Filippo
Assessing the Quality of Computational Notebooks for a Frictionless Transition from Exploration to Production
2022-01-01 Quaranta, Luigi
Pynblint: A Static Analyzer for Python Jupyter Notebooks
2022-01-01 Quaranta, L.; Calefato, F.; Lanubile, F.
Assessing Clinical Features of Adolescents Suffering from Depression Who Engage in Non-Suicidal Self-Injury
2022-01-01 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
2022-01-01 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
2022-01-01 Calefato, Fabio; Lanubile, Filippo; Quaranta, Luigi
A Taxonomy of Tools for Reproducible Machine Learning Experiments
2022-01-01 Quaranta, Luigi; Calefato, Fabio; Lanubile, Filippo
Depressive risk among Italian socioeconomically disadvantaged children and adolescents during COVID‑19 pandemic: a cross‑sectional online survey
2022-01-01 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
2023-01-01 Calefato, F.; Quaranta, L.; Lanubile, F.; Kalinowski, M.
Teaching MLOps in Higher Education through Project-Based Learning
2023-01-01 Lanubile, Filippo; Martínez-Fernández, Silverio; Quaranta, Luigi
Training Future Machine Learning Engineers: A Project-Based Course on MLOps
2024-01-01 Lanubile, Filippo; Martínez-Fernández, Silverio; Quaranta, Luigi
Leveraging GPT-like LLMs to Automate Issue Labeling
2024-01-01 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
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 |
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