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Fabio Palomba

Showing results (1-10 of 9) with videos related to

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Computer Methods and Programs in Biomedicine|March 18, 2026
Med-ViX-Ray: Enhancing explainable chest X-ray analysis with clinical knowledge graphsManuel Cieri, Fabio Palomba
Empirical Software Engineering|October 6, 2022
Static test flakiness prediction: How Far Can We Go?Valeria Pontillo, Fabio Palomba, Filomena Ferrucci
Artificial Intelligence in Medicine|April 21, 2025
Advances in artificial intelligence for diabetes prediction: insights from a systematic literature reviewPir Bakhsh Khokhar, Carmine Gravino, Fabio Palomba
Empirical Software Engineering|August 11, 2022
The making of accessible Android applications: an empirical study on the state of the practiceMarianna Di Gregorio, Dario Di Nucci, Fabio Palomba, et al.
Empirical Software Engineering|May 30, 2023
Rubbing salt in the wound? A large-scale investigation into the effects of refactoring on securityEmanuele Iannone, Zadia Codabux, Valentina Lenarduzzi, et al.
Empirical Software Engineering|April 4, 2022
On the adequacy of static analysis warnings with respect to code smell predictionFabiano Pecorelli, Savanna Lujan, Valentina Lenarduzzi, et al.
Empirical Software Engineering|November 29, 2023
Fairness-aware machine learning engineering: how far are we?Carmine Ferrara, Giulia Sellitto, Filomena Ferrucci, et al.
Empirical Software Engineering|March 8, 2024
Machine learning-based test smell detectionValeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, et al.
Empirical Software Engineering|September 26, 2022
FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-codeNemania Borovits, Indika Kumara, Dario Di Nucci, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Computer Methods and Programs in Biomedicine|March 18, 2026
Med-ViX-Ray: Enhancing explainable chest X-ray analysis with clinical knowledge graphsManuel Cieri, Fabio Palomba
Empirical Software Engineering|October 6, 2022
Static test flakiness prediction: How Far Can We Go?Valeria Pontillo, Fabio Palomba, Filomena Ferrucci
Artificial Intelligence in Medicine|April 21, 2025
Advances in artificial intelligence for diabetes prediction: insights from a systematic literature reviewPir Bakhsh Khokhar, Carmine Gravino, Fabio Palomba
Empirical Software Engineering|August 11, 2022
The making of accessible Android applications: an empirical study on the state of the practiceMarianna Di Gregorio, Dario Di Nucci, Fabio Palomba, et al.
Empirical Software Engineering|May 30, 2023
Rubbing salt in the wound? A large-scale investigation into the effects of refactoring on securityEmanuele Iannone, Zadia Codabux, Valentina Lenarduzzi, et al.
Empirical Software Engineering|April 4, 2022
On the adequacy of static analysis warnings with respect to code smell predictionFabiano Pecorelli, Savanna Lujan, Valentina Lenarduzzi, et al.
Empirical Software Engineering|November 29, 2023
Fairness-aware machine learning engineering: how far are we?Carmine Ferrara, Giulia Sellitto, Filomena Ferrucci, et al.
Empirical Software Engineering|March 8, 2024
Machine learning-based test smell detectionValeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, et al.
Empirical Software Engineering|September 26, 2022
FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-codeNemania Borovits, Indika Kumara, Dario Di Nucci, et al.
Pageof 1