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Filippo Lanubile

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Assessing the Use of AutoML for Data-Driven Software Engineering

Jul 20, 2023
Fabio Calefato, Luigi Quaranta, Filippo Lanubile, Marcos Kalinowski

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Teaching MLOps in Higher Education through Project-Based Learning

Feb 02, 2023
Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta

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A Preliminary Investigation of MLOps Practices in GitHub

Sep 23, 2022
Fabio Calefato, Filippo Lanubile, Luigi Quaranta

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Pynblint: a Static Analyzer for Python Jupyter Notebooks

May 24, 2022
Luigi Quaranta, Fabio Calefato, Filippo Lanubile

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Eliciting Best Practices for Collaboration with Computational Notebooks

Feb 15, 2022
Luigi Quaranta, Fabio Calefato, Filippo Lanubile

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Using Personality Detection Tools for Software Engineering Research: How Far Can We Go?

Oct 22, 2021
Fabio Calefato, Filippo Lanubile

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Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists

Mar 18, 2021
Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino

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Love, Joy, Anger, Sadness, Fear, and Surprise: SE Needs Special Kinds of AI: A Case Study on Text Mining and SE

Apr 23, 2020
Nicole Novielli, Fabio Calefato, Filippo Lanubile

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EmoTxt: A Toolkit for Emotion Recognition from Text

Jan 19, 2018
Fabio Calefato, Filippo Lanubile, Nicole Novielli

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