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Giovanni Stilo
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Publications
- 2023
- [j20]Giordano d'Aloisio, Andrea D'Angelo, Antinisca Di Marco, Giovanni Stilo:
Debiaser for Multiple Variables to enhance fairness in classification tasks. Inf. Process. Manag. 60(2): 103226 (2023) - [c40]Andrea Bianchi, Antinisca Di Marco, Francesca Marzi, Giovanni Stilo, Cristina Pellegrini, Stefano Masi, Alessandro Mengozzi, Agostino Virdis, Marco Salvatore Nobile, Marta Simeoni:
Trustworthy Machine Learning Predictions to Support Clinical Research and Decisions. CBMS 2023: 231-234 - [c38]Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo:
Democratizing Quality-Based Machine Learning Development through Extended Feature Models. FASE 2023: 88-110 - [i13]Francesca Marzi, Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo:
Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development. CoRR abs/2309.11226 (2023) - [i12]Giordano d'Aloisio, Andrea D'Angelo, Francesca Marzi, Diana Di Marco, Giovanni Stilo, Antinisca Di Marco:
Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape. CoRR abs/2309.11239 (2023) - 2022
- [c34]Giordano d'Aloisio, Giovanni Stilo, Antinisca Di Marco, Andrea D'Angelo:
Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach. BIAS 2022: 117-129 - [c31]Bahne Christiansen, Uwe Neuhaus, Michael Schulz, Adrian Hargreaves, Antinisca Di Marco, Guido Proietti, Fabrizio Rossi, Giovanni Stilo, Mark H. Haney, Andrew Duncan, Daniele Tessera, Tilman Todt, Andreas Brandenberg, Patricia Feubli:
A Manifesto for Applied Data Science - Reasoning from a Business Perspective. itaDATA 2022: 123-131 - [c30]Andrea Bianchi, Giordano d'Aloisio, Andrea D'Angelo, Antinisca Di Marco, Alessandro Di Matteo, Jessica Léone, Giulia Scoccia, Giovanni Stilo, Luca Traini:
DIORAMA: Digital twIn fOR sustAinable territorial MAnagement. itaDATA 2022: 144-155 - [i9]Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo:
Modeling Quality and Machine Learning Pipelines through Extended Feature Models. CoRR abs/2207.07528 (2022) - 2021
- [j17]Ghulam Mudassir, Evans Etrue Howard, Lorenza Pasquini, Claudio Arbib, Eliseo Clementini, Antinisca Di Marco, Giovanni Stilo:
Toward Effective Response to Natural Disasters: A Data Science Approach. IEEE Access 9: 167827-167844 (2021) - [c28]Francesca Caroccia, Damiano D'Agostino, Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo:
SismaDL: an ontology to represent post-disaster regulation. BIR Workshops 2021: 99-112
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