Lorenzo Famiglini

According to our database, Lorenzo Famiglini authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems.

Lorenzo Famiglini, Andrea Campagner, Marília Barandas, Giovanni Andrea La Maida, Enrico Gallazzi, Federico Cabitza

Comput. Biol. Medicine, March, 2024

Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram.

Marília Barandas, Lorenzo Famiglini, Andrea Campagner, Duarte Folgado, Raquel Simão, Federico Cabitza, Hugo Gamboa

Inf. Fusion, January, 2024

2023

Explainability meets uncertainty quantification: Insights from feature-based model fusion on multimodal time series.

Duarte Folgado, Marília Barandas, Lorenzo Famiglini, Ricardo Santos, Federico Cabitza, Hugo Gamboa

Inf. Fusion, December, 2023

Everything is varied: The surprising impact of instantial variation on ML reliability.

Andrea Campagner, Lorenzo Famiglini, Anna Carobene, Federico Cabitza

Appl. Soft Comput., October, 2023

Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making.

Chiara Natali, Lorenzo Famiglini, Andrea Campagner, Giovanni Andrea La Maida, Enrico Gallazzi, Federico Cabitza

Proceedings of the Explainable Artificial Intelligence, 2023

Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use.

Lorenzo Famiglini, Andrea Campagner, Federico Cabitza

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice.

Federico Cabitza, Andrea Campagner, Lorenzo Famiglini, Chiara Natali, Valerio Caccavella, Enrico Gallazzi

Proceedings of the Machine Learning and Knowledge Extraction, 2023

Biomarkers for mixed dementia: a hard bone to bite? Preliminary analyses and promising results for a debated topic.

Andrea Campagner, Lorenzo Famiglini, Beatrice Arosio, Paolo Rossi, Giorgio Annoni, Federico Cabitza

Proceedings of the 4th Italian Workshop on Artificial Intelligence for an Ageing Society co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022

Everything is Varied: The Surprising Impact of Individual Variation on ML Robustness in Medicine.

Andrea Campagner, Lorenzo Famiglini, Anna Carobene, Federico Cabitza

CoRR, 2022

A Confidence Interval-Based Method for Classifier Re-Calibration.

Andrea Campagner, Lorenzo Famiglini, Federico Cabitza

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Re-calibrating Machine Learning Models Using Confidence Interval Bounds.

Andrea Campagner, Lorenzo Famiglini, Federico Cabitza

Proceedings of the Modeling Decisions for Artificial Intelligence, 2022

Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning.

Federico Cabitza, Andrea Campagner, Lorenzo Famiglini, Enrico Gallazzi, Giovanni Andrea La Maida

Proceedings of the Machine Learning and Knowledge Extraction, 2022

Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration.

Federico Cabitza, Andrea Campagner, Lorenzo Famiglini

Proceedings of the Machine Learning and Knowledge Extraction, 2022

2021

On the Generalization of Figurative Language Detection: The Case of Irony and Sarcasm.

Lorenzo Famiglini, Elisabetta Fersini, Paolo Rosso

Proceedings of the Natural Language Processing and Information Systems, 2021

Prediction of ICU admission for COVID-19 patients: a Machine Learning approach based on Complete Blood Count data.

Lorenzo Famiglini, Giorgio Bini, Anna Carobene, Andrea Campagner, Federico Cabitza

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021