12 citations · 16 across the 16 of their papers we have counts for
17 papers
Smaller Models, Unexpected Costs: Trade-offs in LLM Quantization for Automated Program Repair
Fernando Vallecillos-Ruiz, Giordano d'Aloisio, Max Hort +3
Large Language Models (LLMs) are powerful tools and have been increasingly adopted for complex software engineering tasks. As the number of parameters increases, results can often…
SafeTune: Search-based Harmfulness Minimisation for Large Language Models
Giordano d'Aloisio, David Williams, Giusy Annunziata +3
The widespread adoption of Large Language Models (LLMs) raises concerns about the potential harmfulness of their responses. In this paper, we first investigate the harmfulness of r…
A Generalised Exponentiated Gradient Approach to Enhance Fairness in Binary and Multi-class Classification Tasks
Maryam Boubekraoui, Giordano d'Aloisio, Antinisca Di Marco
The widespread use of AI and ML models in sensitive areas raises significant concerns about fairness. While the research community has introduced various methods for bias mitigatio…
A Data-Driven Approach to Support Clinical Renal Replacement Therapy
Alice Balboni, Luis Escobar, Andrea Manno +5
This study investigates a data-driven machine learning approach to predict membrane fouling in critically ill patients undergoing Continuous Renal Replacement Therapy (CRRT). Using…
FairRF: Multi-Objective Search for Single and Intersectional Software Fairness
Giordano d'Alosio, Max Hort, Rebecca Moussa +1
Background: The wide adoption of AI- and ML-based systems in sensitive domains raises severe concerns about their fairness. Many methods have been proposed in the literature to enh…
REPAIR Approach for Social-based City Reconstruction Planning in case of natural disasters
Ghulam Mudassir, Antinisca Di Marco, Giordano d'Aloisio
Natural disasters always have several effects on human lives. It is challenging for governments to tackle these incidents and to rebuild the economic, social and physical infrastru…
Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling
Vladyslav Bulhakov, Giordano d'Aloisio, Claudio Di Sipio +2
The introduction of large language models (LLMs) has enhanced automation in software engineering tasks, including in Model Driven Engineering (MDE). However, using general-purpose…
SustainDiffusion: Optimising the Social and Environmental Sustainability of Stable Diffusion Models
Giordano d'Aloisio, Tosin Fadahunsi, Jay Choy +2
Background: Text-to-image generation models are widely used across numerous domains. Among these models, Stable Diffusion (SD) - an open-source text-to-image generation model - has…
MANILA: A Low-Code Application to Benchmark Machine Learning Models and Fairness-Enhancing Methods
Giordano d'Aloisio
This paper presents MANILA, a web-based low-code application to benchmark machine learning models and fairness-enhancing methods and select the one achieving the best fairness and…
How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias
Tosin Fadahunsi, Giordano d'Aloisio, Antinisca Di Marco +1
Generative models are nowadays widely used to generate graphical content used for multiple purposes, e.g. web, art, advertisement. However, it has been shown that the images genera…
On the Compression of Language Models for Code: An Empirical Study on CodeBERT
Giordano d'Aloisio, Luca Traini, Federica Sarro +1
Language models have proven successful across a wide range of software engineering tasks, but their significant computational costs often hinder their practical adoption. To addres…
Exploring LLM-Driven Explanations for Quantum Algorithms
Giordano d'Aloisio, Sophie Fortz, Carol Hanna +4
Background: Quantum computing is a rapidly growing new programming paradigm that brings significant changes to the design and implementation of algorithms. Understanding quantum al…
GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation
Jingzhi Gong, Sisi Li, Giordano d'Aloisio +4
Tuning the parameters and prompts for improving AI-based text-to-image generation has remained a substantial yet unaddressed challenge. Hence we introduce GreenStableYolo, which im…
Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape
Giordano d'Aloisio, Andrea D'Angelo, Francesca Marzi +3
Gender bias in education gained considerable relevance in the literature over the years. However, while the problem of gender bias in education has been widely addressed from a stu…
Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development
Francesca Marzi, Giordano d'Aloisio, Antinisca Di Marco +1
The problem of predicting the training time of machine learning (ML) models has become extremely relevant in the scientific community. Being able to predict a priori the training t…
A Decision Tree to Shepherd Scientists through Data Retrievability
Andrea Bianchi, Giordano d'Aloisio, Francesca Marzi +1
Reproducibility is a crucial aspect of scientific research that involves the ability to independently replicate experimental results by analysing the same data or repeating the sam…
Modeling Quality and Machine Learning Pipelines through Extended Feature Models
Giordano d'Aloisio, Antinisca Di Marco, Giovanni Stilo
The recently increased complexity of Machine Learning (ML) methods, led to the necessity to lighten both the research and industry development processes. ML pipelines have become a…