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ORCIDGiordano d'Aloisio
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2020 – today
- 2026
[j6]Giordano d'Aloisio
, Tosin Fadahunsi, Antinisca Di Marco, Federica Sarro:
How do generative models draw a software engineer? An empirical study on implicit bias of open-source image generation models. Inf. Softw. Technol. 190: 107956 (2026)- [j5]Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio:
How fair are we? From conceptualization to automated assessment of fairness definitions. Softw. Syst. Model. 25(1): 189-215 (2026) - [i16]Giordano d'Aloisio, Max Hort, Rebecca Moussa, Federica Sarro:
FairRF: Multi-Objective Search for Single and Intersectional Software Fairness. CoRR abs/2601.07537 (2026) - [i15]Alice Balboni, Luis Escobar, Andrea Manno, Fabrizio Rossi, Maria Cristina Ruffa, Gianluca Villa, Giordano d'Aloisio, Antonio Consolo:
A Data-Driven Approach to Support Clinical Renal Replacement Therapy. CoRR abs/2602.22902 (2026) - [i14]Maryam Boubekraoui, Giordano d'Aloisio, Antinisca Di Marco:
A Generalised Exponentiated Gradient Approach to Enhance Fairness in Binary and Multi-class Classification Tasks. CoRR abs/2603.21393 (2026) - 2025
- [j4]Ghulam Mudassir, Antinisca Di Marco, Giordano d'Aloisio:
REPAIR approach for social-based city reconstruction planning in case of natural disasters. Int. J. Data Sci. Anal. 20(8): 7147-7165 (2025) - [j3]Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio:
Towards early detection of algorithmic bias from dataset's bias symptoms: An empirical study. Inf. Softw. Technol. 188: 107905 (2025) - [c16]Vladyslav Bulhakov, Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio:
Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling. SEAA 2025: 349-366 - [c15]Tosin Fadahunsi, Giordano d'Aloisio, Antinisca Di Marco, Federica Sarro:
How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias. SANER-C 2025: 9-16 - [c14]Giordano d'Aloisio, Luca Traini, Federica Sarro, Antinisca Di Marco:
On the Compression of Language Models for Code: An Empirical Study on CodeBERT. SANER 2025: 12-23 - [c13]Giordano d'Aloisio:
MANILA: A Low-Code Application to Benchmark Machine Learning Models and Fairness-Enhancing Methods. SIGSOFT FSE Companion 2025: 1153-1157 - [i13]Tosin Fadahunsi, Giordano d'Aloisio, Antinisca Di Marco, Federica Sarro:
How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias. CoRR abs/2501.09014 (2025) - [i12]Giordano d'Aloisio:
MANILA: A Low-Code Application to Benchmark Machine Learning Models and Fairness-Enhancing Methods. CoRR abs/2504.20907 (2025) - [i11]Vladyslav Bulhakov, Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio:
Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling. CoRR abs/2507.14735 (2025) - [i10]Giordano d'Aloisio, Tosin Fadahunsi, Jay Choy, Rebecca Moussa, Federica Sarro:
SustainDiffusion: Optimising the Social and Environmental Sustainability of Stable Diffusion Models. CoRR abs/2507.15663 (2025) - [i9]Ghulam Mudassir, Antinisca Di Marco, Giordano d'Aloisio:
REPAIR Approach for Social-based City Reconstruction Planning in case of natural disasters. CoRR abs/2510.19048 (2025) - 2024
- [j2]Andrea D'Angelo, Giordano d'Aloisio, Francesca Marzi, Antinisca Di Marco, Giovanni Stilo:
Uncovering gender gap in academia: A comprehensive analysis within the software engineering community. J. Syst. Softw. 217: 112162 (2024) - [c12]Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro:
Exploring LLM-Driven Explanations for Quantum Algorithms. ESEM 2024: 475-481 - [c11]Fabio Palomba, Andrea Di Sorbo, Davide Di Ruscio, Filomena Ferrucci, Gemma Catolino, Giammaria Giordano, Dario Di Dario, Gianmario Voria, Viviana Pentangelo, Maria Tortorella, Arnaldo Sgueglia, Claudio Di Sipio, Giordano d'Aloisio, Antinisca Di Marco:
FRINGE: context-aware FaiRness engineerING in complex software systEms. ESEM 2024: 608-612 - [c10]Giordano d'Aloisio, Alessandro Di Matteo, Alessia Cipriani, Daniele Lozzi, Enrico Mattei, Gennaro Zanfardino, Antinisca Di Marco, Giuseppe Placidi:
Engineering a Digital Twin for Diagnosis and Treatment of Multiple Sclerosis. MoDELS (Companion) 2024: 364-369 - [c9]Jingzhi Gong, Sisi Li, Giordano d'Aloisio, Zishuo Ding, Yulong Ye, William B. Langdon, Federica Sarro:
GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation. SSBSE 2024: 70-76 - [c8]Andrea D'Angelo, Giordano d'Aloisio:
Grammar-Based Anomaly Detection of Microservice Systems Execution Traces. ICPE (Companion) 2024: 77-81 - [d1]Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro:
Exploring LLM-Driven Explanations for Quantum Algorithms. Zenodo, 2024
- [i8]Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio:
How fair are we? From conceptualization to automated assessment of fairness definitions. CoRR abs/2404.09919 (2024) - [i7]Jingzhi Gong, Sisi Li, Giordano d'Aloisio, Zishuo Ding, Yulong Ye, William B. Langdon, Federica Sarro:
GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation. CoRR abs/2407.14982 (2024) - [i6]Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro:
Exploring LLM-Driven Explanations for Quantum Algorithms. CoRR abs/2409.19028 (2024) - [i5]Giordano d'Aloisio, Luca Traini, Federica Sarro, Antinisca Di Marco:
On the Compression of Language Models for Code: An Empirical Study on CodeBERT. CoRR abs/2412.13737 (2024) - 2023
- [j1]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) - [c7]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. ECSA (Tracks, Workshops and Doctoral Symposium) 2023: 89-103 - [c6]Francesca Marzi, Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo:
Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development. ECSA (Tracks, Workshops and Doctoral Symposium) 2023: 169-184 - [c5]Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo:
Democratizing Quality-Based Machine Learning Development through Extended Feature Models. FASE 2023: 88-110 - [i4]Andrea Bianchi, Giordano d'Aloisio, Francesca Marzi, Antinisca Di Marco:
A Decision Tree to Shepherd Scientists through Data Retrievability. CoRR abs/2304.05767 (2023) - [i3]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) - [i2]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
- [c4]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 - [c3]Giordano d'Aloisio:
Quality-Driven Machine Learning-based Data Science Pipeline Realization: a software engineering approach. ICSE-Companion 2022: 291-293 - [c2]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 - [i1]Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo:
Modeling Quality and Machine Learning Pipelines through Extended Feature Models. CoRR abs/2207.07528 (2022) - 2021
- [c1]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
Coauthor Index
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