EMTk: the emotion mining toolkit. - Fabio Calefato; Filippo Lanubile; Nicole Novielli; Luigi Quaranta (SEmotion@ICSE, 2019)

Towards recognizing the emotions of developers using biometrics: the design of a field study. - Daniela Girardi; Filippo Lanubile; Nicole Novielli; Luigi Quaranta; Alexander Serebrenik (SEmotion@ICSE, 2019)

A replication study on code comprehension and expertise using lightweight biometric sensors. - Davide Fucci; Daniela Girardi; Nicole Novielli; Luigi Quaranta; Filippo Lanubile (ICPC, 2019)

A Taxonomy of Tools for Reproducible Machine Learning Experiments. - Luigi Quaranta; Fabio Calefato; Filippo Lanubile (DP@AI*IA, 2021)

Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. - Filippo Lanubile; Fabio Calefato; Luigi Quaranta; Maddalena Amoruso; Fabio Fumarola; Michele Filannino (WAIN@ICSE, 2021)

KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle. - Luigi Quaranta; Fabio Calefato; Filippo Lanubile (MSR, 2021)

collab-uniba/KGTorrent: First release (v. 1.0.0) of KGTorrent. - Luigi Quaranta; Fabio Calefato; Filippo Lanubile (Zenodo, 2021)

KGTorrent: A Dataset of Python Jupyter Notebooks from Kaggle. - Luigi Quaranta; Fabio Calefato; Filippo Lanubile (Zenodo, 2021)

Pynblint: a static analyzer for Python Jupyter notebooks. - Luigi Quaranta; Fabio Calefato; Filippo Lanubile (CAIN, 2022)

A Preliminary Investigation of MLOps Practices in GitHub. - Fabio Calefato; Filippo Lanubile; Luigi Quaranta (ESEM, 2022)

Assessing the Quality of Computational Notebooks for a Frictionless Transition from Exploration to Production. - Luigi Quaranta (ICSE-Companion, 2022)

Eliciting Best Practices for Collaboration with Computational Notebooks. - Luigi Quaranta; Fabio Calefato; Filippo Lanubile (Proc. ACM Hum. Comput. Interact., 2022)

Assessing the Use of AutoML for Data-Driven Software Engineering. - Fabio Calefato; Luigi Quaranta; Filippo Lanubile; Marcos Kalinowski (ESEM, 2023)

Teaching MLOps in Higher Education through Project-Based Learning. - Filippo Lanubile; Silverio Martínez-Fernández; Luigi Quaranta (SEET@ICSE, 2023)

A Lot of Talk and a Badge: An Empirical Analysis of Personal Achievements in GitHub. - Fabio Calefato; Luigi Quaranta; Filippo Lanubile (CoRR, 2023)

An MLOps Approach for Deploying Machine Learning Models in Healthcare Systems. - Giulio Mallardi; Fabio Calefato; Luigi Quaranta; Filippo Lanubile (BIBM, 2024)

Continuous Quality Improvement of AI-based Systems: the QualAI Project. - 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; et al. (ESEM, 2024)

An MLOps Solution Framework for Transitioning Machine Learning Models into eHealth Systems. - Andrea Basile; Fabio Calefato; Filippo Lanubile; Giulio Mallardi; Luigi Quaranta (Ital-IA, 2024)

Large Language Models for Issue Report Classification. - Giuseppe Colavito; Filippo Lanubile; Nicole Novielli; Luigi Quaranta (Ital-IA, 2024)

Security Risks and Best Practices of MLOps: A Multivocal Literature Review. - Fabio Calefato; Filippo Lanubile; Luigi Quaranta (ITASEC, 2024)

Leveraging GPT-like LLMs to Automate Issue Labeling. - Giuseppe Colavito; Filippo Lanubile; Nicole Novielli; Luigi Quaranta (MSR, 2024)

QualAI: Continuous Quality Improvement of AI-based Systems. - 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; et al. (RCIS Workshops, 2024)

A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools. - Kelly Azevedo; Luigi Quaranta; Fabio Calefato; Marcos Kalinowski (CoRR, 2024)

A lot of talk and a badge: An exploratory analysis of personal achievements in GitHub. - Fabio Calefato; Luigi Quaranta; Filippo Lanubile (Inf. Softw. Technol., 2024)

Training Future Machine Learning Engineers: A Project-Based Course on MLOps. - Filippo Lanubile; Silverio Martínez-Fernández; Luigi Quaranta (IEEE Softw., 2024)

Pynblint: A quality assurance tool to improve the quality of Python Jupyter notebooks. - Luigi Quaranta; Fabio Calefato; Filippo Lanubile (SoftwareX, 2024)

Artifacts: A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools. - Kelly Azevedo; Luigi Quaranta; Fabio Calefato; Marcos Kalinowski (Zenodo, 2024)

Artifacts: A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools. - Kelly Azevedo; Luigi Quaranta; Fabio Calefato; Marcos Kalinowski (Zenodo, 2024)

Impact of data quality for automatic issue classification using pre-trained language models. - Giuseppe Colavito; Filippo Lanubile; Nicole Novielli; Luigi Quaranta (J. Syst. Softw., 2024)

Towards Ensuring Responsible AI for Medical Device Certification. - Giulio Mallardi; Luigi Quaranta; Fabio Calefato; Filippo Lanubile (RAIE, 2025)

A multivocal literature review on the benefits and limitations of industry-leading AutoML tools. - Luigi Quaranta; Kelly Azevedo; Fabio Calefato; Marcos Kalinowski (Inf. Softw. Technol., 2025)