Giordano d'Aloisio

38 papers A 3B 3Journal 22Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Data-Driven Approach to Support Clinical Renal Replacement Therapy. CoRR Alice Balboni, Luis Escobar, Andrea Manno, Fabrizio Rossi, Maria Cristina Ruffa, Gianluca Villa, Giordano d'Aloisio, Antonio Consolo
2026	J	`jnl`	A Generalised Exponentiated Gradient Approach to Enhance Fairness in Binary and Multi-class Classification Tasks. CoRR Maryam Boubekraoui, Giordano d'Aloisio, Antinisca Di Marco
2026	J	`jnl`	FairRF: Multi-Objective Search for Single and Intersectional Software Fairness. CoRR Giordano d'Aloisio, Max Hort, Rebecca Moussa, Federica Sarro
2026	J	`jnl`	How do generative models draw a software engineer? An empirical study on implicit bias of open-source image generation models. Inf. Softw. Technol. Giordano d'Aloisio, Tosin Fadahunsi, Antinisca Di Marco, Federica Sarro
2026	J	`jnl`	How fair are we? From conceptualization to automated assessment of fairness definitions. Softw. Syst. Model. Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio
2025	—	`conf`	How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias. SANER-C Tosin Fadahunsi, Giordano d'Aloisio, Antinisca Di Marco, Federica Sarro
2025	J	`jnl`	How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias. CoRR Tosin Fadahunsi, Giordano d'Aloisio, Antinisca Di Marco, Federica Sarro
2025	B	`conf`	Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling. SEAA Vladyslav Bulhakov, Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio
2025	J	`jnl`	Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling. CoRR Vladyslav Bulhakov, Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio
2025	—	`conf`	MANILA: A Low-Code Application to Benchmark Machine Learning Models and Fairness-Enhancing Methods. SIGSOFT FSE Companion Giordano d'Aloisio
2025	J	`jnl`	MANILA: A Low-Code Application to Benchmark Machine Learning Models and Fairness-Enhancing Methods. CoRR Giordano d'Aloisio
2025	A	`conf`	On the Compression of Language Models for Code: An Empirical Study on CodeBERT. SANER Giordano d'Aloisio, Luca Traini, Federica Sarro, Antinisca Di Marco
2025	J	`jnl`	REPAIR Approach for Social-based City Reconstruction Planning in case of natural disasters. CoRR Ghulam Mudassir, Antinisca Di Marco, Giordano d'Aloisio
2025	J	`jnl`	REPAIR approach for social-based city reconstruction planning in case of natural disasters. Int. J. Data Sci. Anal. Ghulam Mudassir, Antinisca Di Marco, Giordano d'Aloisio
2025	J	`jnl`	SustainDiffusion: Optimising the Social and Environmental Sustainability of Stable Diffusion Models. CoRR Giordano d'Aloisio, Tosin Fadahunsi, Jay Choy, Rebecca Moussa, Federica Sarro
2025	J	`jnl`	Towards early detection of algorithmic bias from dataset's bias symptoms: An empirical study. Inf. Softw. Technol. Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio
2024	—	`conf`	Engineering a Digital Twin for Diagnosis and Treatment of Multiple Sclerosis. MoDELS (Companion) Giordano d'Aloisio, Alessandro Di Matteo, Alessia Cipriani, Daniele Lozzi, Enrico Mattei, Gennaro Zanfardino, Antinisca Di Marco, Giuseppe Placidi
2024	A	`conf`	Exploring LLM-Driven Explanations for Quantum Algorithms. ESEM Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro
2024	J	`jnl`	Exploring LLM-Driven Explanations for Quantum Algorithms. CoRR Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro
2024	A	`conf`	FRINGE: context-aware FaiRness engineerING in complex software systEms. ESEM 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
2024	—	`conf`	Grammar-Based Anomaly Detection of Microservice Systems Execution Traces. ICPE (Companion) Andrea D'Angelo, Giordano d'Aloisio
2024	B	`conf`	GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation. SSBSE Jingzhi Gong, Sisi Li, Giordano d'Aloisio, Zishuo Ding, Yulong Ye, William B. Langdon, Federica Sarro
2024	J	`jnl`	GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation. CoRR Jingzhi Gong, Sisi Li, Giordano d'Aloisio, Zishuo Ding, Yulong Ye, William B. Langdon, Federica Sarro
2024	J	`jnl`	How fair are we? From conceptualization to automated assessment of fairness definitions. CoRR Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio
2024	J	`jnl`	On the Compression of Language Models for Code: An Empirical Study on CodeBERT. CoRR Giordano d'Aloisio, Luca Traini, Federica Sarro, Antinisca Di Marco
2024	J	`jnl`	Uncovering gender gap in academia: A comprehensive analysis within the software engineering community. J. Syst. Softw. Andrea D'Angelo, Giordano d'Aloisio, Francesca Marzi, Antinisca Di Marco, Giovanni Stilo
2023	J	`jnl`	A Decision Tree to Shepherd Scientists through Data Retrievability. CoRR Andrea Bianchi, Giordano d'Aloisio, Francesca Marzi, Antinisca Di Marco
2023	—	`conf`	Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape. ECSA (Tracks, Workshops and Doctoral Symposium) Giordano d'Aloisio, Andrea D'Angelo, Francesca Marzi, Diana Di Marco, Giovanni Stilo, Antinisca Di Marco
2023	J	`jnl`	Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape. CoRR Giordano d'Aloisio, Andrea D'Angelo, Francesca Marzi, Diana Di Marco, Giovanni Stilo, Antinisca Di Marco
2023	J	`jnl`	Debiaser for Multiple Variables to enhance fairness in classification tasks. Inf. Process. Manag. Giordano d'Aloisio, Andrea D'Angelo, Antinisca Di Marco, Giovanni Stilo
2023	B	`conf`	Democratizing Quality-Based Machine Learning Development through Extended Feature Models. FASE Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo
2023	—	`conf`	Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development. ECSA (Tracks, Workshops and Doctoral Symposium) Francesca Marzi, Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo
2023	J	`jnl`	Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development. CoRR Francesca Marzi, Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo
2022	—	`conf`	DIORAMA: Digital twIn fOR sustAinable territorial MAnagement. itaDATA Andrea Bianchi, Giordano d'Aloisio, Andrea D'Angelo, Antinisca Di Marco, Alessandro Di Matteo, Jessica Léone, Giulia Scoccia, Giovanni Stilo, Luca Traini
2022	—	`conf`	Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach. BIAS Giordano d'Aloisio, Giovanni Stilo, Antinisca Di Marco, Andrea D'Angelo
2022	J	`jnl`	Modeling Quality and Machine Learning Pipelines through Extended Feature Models. CoRR Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo
2022	—	`conf`	Quality-Driven Machine Learning-based Data Science Pipeline Realization: a software engineering approach. ICSE-Companion Giordano d'Aloisio
2021	—	`conf`	SismaDL: an ontology to represent post-disaster regulation. BIR Workshops Francesca Caroccia, Damiano D'Agostino, Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo