Preliminary evaluation of Wearable Wellness System for Obstructive Sleep Apnea detection. - Riccardo Crupi; Tommaso Faetti; Rita Paradiso (EMBC, 2015)

An Ecological Studybased on Textile Sensory Platforms to Improve Safety and Well-Being at Work. - Rita Paradiso; Riccardo Crupi; Maria Pacelli; Mark Saunder; Gabriel M. Cuervo (EMBC, 2019)

BeFair: Addressing Fairness in the Banking Sector. - Alessandro Castelnovo; Riccardo Crupi; Giulia Del Gamba; Greta Greco; Aisha Naseer; Daniele Regoli; Beatriz San Miguel González (IEEE BigData, 2020)

The zoo of Fairness metrics in Machine Learning. - Alessandro Castelnovo; Riccardo Crupi; Greta Greco; Daniele Regoli (CoRR, 2021)

Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation. - Alessandro Castelnovo; Riccardo Crupi; Nicole Inverardi; Daniele Regoli; Andrea Cosentini (BEWARE@AI*IA, 2022)

Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users. - Riccardo Crupi; Beatriz San Miguel González; Alessandro Castelnovo; Daniele Regoli (ICAART (2), 2022)

Quantifying Credit Portfolio Sensitivity to Asset Correlations With Interpretable Generative Neural Networks. - Sergio Caprioli; Emanuele Cagliero; Riccardo Crupi (AIABI@AI*IA, 2023)

Marrying LLMs with Domain Expert Validation for Causal Graph Generation (short paper). - Alessandro Castelnovo; Riccardo Crupi; Fabio Mercorio; Mario Mezzanzanica; Daniele Potertì; Daniele Regoli (AIABI@AI*IA, 2023)

Preserving Utility in Fair Top-k Ranking with Intersectional Bias. - Nicola Alimonda; Alessandro Castelnovo; Riccardo Crupi; Fabio Mercorio; Mario Mezzanzanica (BIAS, 2023)

An Open-Source Toolkit to Generate Biased Datasets. - Joachim Baumann 002; Alessandro Castelnovo; Riccardo Crupi; Nicole Inverardi; Daniele Regoli (EWAF, 2023)

Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias. - Joachim Baumann 002; Alessandro Castelnovo; Riccardo Crupi; Nicole Inverardi; Daniele Regoli (FAccT, 2023)

Bias On Demand: Investigating Bias with a Synthetic Data Generator. - Joachim Baumann 002; Alessandro Castelnovo; Andrea Cosentini; Riccardo Crupi; Nicole Inverardi; Daniele Regoli (IJCAI, 2023)

Searching for long faint astronomical high energy transients: a data driven approach. - Riccardo Crupi; Giuseppe Dilillo; Elisabetta Bissaldi; Fabrizio Fiore; Andrea Vacchi (CoRR, 2023)

Unraveling Anomalies: Explaining Outliers with DTOR. - Riccardo Crupi; Daniele Regoli; Alessandro Damiano Sabatino; Immacolata Marano; Massimiliano Brinis; Luca Albertazzi; Andrea Cirillo; Andrea Claudio Cosentini (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopes. - Riccardo Crupi (CoRR, 2024)

DTOR: Decision Tree Outlier Regressor to explain anomalies. - Riccardo Crupi; Daniele Regoli; Alessandro Damiano Sabatino; Immacolata Marano; Massimiliano Brinis; Luca Albertazzi; Andrea Cirillo; Andrea Claudio Cosentini (CoRR, 2024)

Denoising ESG: quantifying data uncertainty from missing data with Machine Learning and prediction intervals. - Sergio Caprioli; Jacopo Foschi; Riccardo Crupi; Alessandro Damiano Sabatino (CoRR, 2024)

HEnRY: A Multi-Agent System Framework for Multi-Domain Contexts. - Emmanuele Lacavalla; Shuyi Yang; Riccardo Crupi; Joseph E. Gonzalez (CoRR, 2024)

Disambiguation of company names via deep recurrent networks. - Alessandro Basile; Riccardo Crupi; Michele Grasso; Alessandro Mercanti; Daniele Regoli; Simone Scarsi; Shuyi Yang; Andrea Cosentini (Expert Syst. Appl., 2024)

Counterfactual explanations as interventions in latent space. - Riccardo Crupi; Alessandro Castelnovo; Daniele Regoli; Beatriz San Miguel González (Data Min. Knowl. Discov., 2024)

Evaluative Item-Contrastive Explanations in Rankings. - Alessandro Castelnovo; Riccardo Crupi; Nicolò Mombelli; Gabriele Nanino; Daniele Regoli (Cogn. Comput., 2024)

Anomaly Detection with Machine Learning on Time Series: Unveiling Lost Transients Data. - Andrea Adelfio; Riccardo Crupi; Sara Cutini; Stefano Germani; Francesco Longo 004; Pasquale Lubrano; Simone Maldera (PDP, 2025)