Luigi Quaranta

42 papers A 7B 1Journal 19Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
A multivocal literature review on the benefits and limitations of industry-leading AutoML tools.
Inf. Softw. Technol.
Luigi Quaranta, Kelly Azevedo, Fabio Calefato, Marcos Kalinowski
2025 J jnl
Editorial: Implementing digital twins in healthcare: pathways to person-centric solutions.
Frontiers Digit. Health
Antonella Carbonaro, Alberto Marfoglia, Luigi Quaranta, Sabato Mellone, Filippo Lanubile
2025 — conf
MLOps in the Healthcare Domain: a Systematic Literature Review.
SEAA (2)
Giulio Mallardi, Luigi Quaranta, Fabio Calefato, Filippo Lanubile
2025 — conf
MLOps-Driven Automation of Regulatory Documentation for AI-Based Medical Software.
MLOps@ECAI
Fabrizio Rosmarino, Giulio Mallardi, Luigi Quaranta, Filippo Lanubile
2025 — ed.
Proceedings of the 1st ECAI Workshop on Machine Learning Operations (MLOps25@ECAI 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, October 25, 2025.
MLOps@ECAI
Luigi Quaranta, Giulio Mallardi, Antonella Carbonaro
2025 — conf
Towards Ensuring Responsible AI for Medical Device Certification.
RAIE
Giulio Mallardi, Luigi Quaranta, Fabio Calefato, Filippo Lanubile
2024 J jnl
A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools.
CoRR
Kelly Azevedo, Luigi Quaranta, Fabio Calefato, Marcos Kalinowski
2024 J jnl
A lot of talk and a badge: An exploratory analysis of personal achievements in GitHub.
Inf. Softw. Technol.
Fabio Calefato, Luigi Quaranta, Filippo Lanubile
2024 — conf
An MLOps Approach for Deploying Machine Learning Models in Healthcare Systems.
BIBM
Giulio Mallardi, Fabio Calefato, Luigi Quaranta, Filippo Lanubile
2024 — conf
An MLOps Solution Framework for Transitioning Machine Learning Models into eHealth Systems.
Ital-IA
Andrea Basile, Fabio Calefato, Filippo Lanubile, Giulio Mallardi, Luigi Quaranta
2024 A conf
Continuous Quality Improvement of AI-based Systems: the QualAI Project.
ESEM
Nicole Novielli, Rocco Oliveto, Fabio Palomba, Fabio Calefato, Giuseppe Colavito, Vincenzo De Martino, Antonio Della Porta, Giammaria Giordano, Emanuela Guglielmi, Filippo Lanubile, Luigi Quaranta, Gilberto Recupito, Simone Scalabrino, Angelica Spina, Antonio Vitale
2024 J jnl
Impact of data quality for automatic issue classification using pre-trained language models.
J. Syst. Softw.
Giuseppe Colavito, Filippo Lanubile, Nicole Novielli, Luigi Quaranta
2024 — conf
Large Language Models for Issue Report Classification.
Ital-IA
Giuseppe Colavito, Filippo Lanubile, Nicole Novielli, Luigi Quaranta
2024 A conf
Leveraging GPT-like LLMs to Automate Issue Labeling.
MSR
Giuseppe Colavito, Filippo Lanubile, Nicole Novielli, Luigi Quaranta
2024 A ed.
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2024, Barcelona, Spain, October 24-25, 2024
ESEM
Xavier Franch, Maya Daneva, Silverio Martínez-Fernández, Luigi Quaranta
2024 J jnl
Pynblint: A quality assurance tool to improve the quality of Python Jupyter notebooks.
SoftwareX
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
2024 — conf
QualAI: Continuous Quality Improvement of AI-based Systems.
RCIS Workshops
Nicole Novielli, Rocco Oliveto, Fabio Palomba, Fabio Calefato, Giuseppe Colavito, Vincenzo De Martino, Antonio Della Porta, Giammaria Giordano, Emanuela Guglielmi, Filippo Lanubile, Luigi Quaranta, Gilberto Recupito, Simone Scalabrino, Angelica Spina, Antonio Vitale
2024 — conf
Security Risks and Best Practices of MLOps: A Multivocal Literature Review.
ITASEC
Fabio Calefato, Filippo Lanubile, Luigi Quaranta
2024 J jnl
Training Future Machine Learning Engineers: A Project-Based Course on MLOps.
IEEE Softw.
Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta
2023 J jnl
A Lot of Talk and a Badge: An Empirical Analysis of Personal Achievements in GitHub.
CoRR
Fabio Calefato, Luigi Quaranta, Filippo Lanubile
2023 A conf
Assessing the Use of AutoML for Data-Driven Software Engineering.
ESEM
Fabio Calefato, Luigi Quaranta, Filippo Lanubile, Marcos Kalinowski
2023 J jnl
Assessing the Use of AutoML for Data-Driven Software Engineering.
CoRR
Fabio Calefato, Luigi Quaranta, Filippo Lanubile, Marcos Kalinowski
2023 — conf
Teaching MLOps in Higher Education through Project-Based Learning.
SEET@ICSE
Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta
2023 J jnl
Teaching MLOps in Higher Education through Project-Based Learning.
CoRR
Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta
2022 A conf
A Preliminary Investigation of MLOps Practices in GitHub.
ESEM
Fabio Calefato, Filippo Lanubile, Luigi Quaranta
2022 J jnl
A Preliminary Investigation of MLOps Practices in GitHub.
CoRR
Fabio Calefato, Filippo Lanubile, Luigi Quaranta
2022 — conf
Assessing the Quality of Computational Notebooks for a Frictionless Transition from Exploration to Production.
ICSE-Companion
Luigi Quaranta
2022 J jnl
Assessing the Quality of Computational Notebooks for a Frictionless Transition from Exploration to Production.
CoRR
Luigi Quaranta
2022 J jnl
Eliciting Best Practices for Collaboration with Computational Notebooks.
CoRR
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
2022 J jnl
Eliciting Best Practices for Collaboration with Computational Notebooks.
Proc. ACM Hum. Comput. Interact.
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
2022 J jnl
Pynblint: a Static Analyzer for Python Jupyter Notebooks.
CoRR
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
2022 B conf
Pynblint: a static analyzer for Python Jupyter notebooks.
CAIN
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
2021 — conf
A Taxonomy of Tools for Reproducible Machine Learning Experiments.
DP@AI*IA
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
2021 A conf
KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle.
MSR
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
2021 J jnl
KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle.
CoRR
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
2021 — conf
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists.
WAIN@ICSE
Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino
2021 J jnl
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists.
CoRR
Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino
2019 J jnl
A Replication Study on Code Comprehension and Expertise using Lightweight Biometric Sensors.
CoRR
Davide Fucci, Daniela Girardi, Nicole Novielli, Luigi Quaranta, Filippo Lanubile
2019 A conf
A replication study on code comprehension and expertise using lightweight biometric sensors.
ICPC
Davide Fucci, Daniela Girardi, Nicole Novielli, Luigi Quaranta, Filippo Lanubile
2019 J jnl
EMTk - The Emotion Mining Toolkit.
CoRR
Fabio Calefato, Filippo Lanubile, Nicole Novielli, Luigi Quaranta
2019 — conf
EMTk: the emotion mining toolkit.
SEmotion@ICSE
Fabio Calefato, Filippo Lanubile, Nicole Novielli, Luigi Quaranta
2019 — conf
Towards recognizing the emotions of developers using biometrics: the design of a field study.
SEmotion@ICSE
Daniela Girardi, Filippo Lanubile, Nicole Novielli, Luigi Quaranta, Alexander Serebrenik