A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics. - Piero Baraldi; Francesca Mangili; Enrico Zio (IEEE Trans. Reliab., 2012)

Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data. - Piero Baraldi; Francesca Mangili; Enrico Zio (Reliab. Eng. Syst. Saf., 2013)

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. - Alessio Benavoli; Giorgio Corani; Francesca Mangili; Marco Zaffalon; Fabrizio Ruggeri 001 (ICML, 2014)

Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms. - Piero Baraldi; Enrico Zio; Francesca Mangili; Giulio Gola; Bent H. Nystad (Int. J. Comput. Intell. Syst., 2014)

Gaussian Processes for Bayesian hypothesis tests on regression functions. - Alessio Benavoli; Francesca Mangili (AISTATS, 2015)

A Bayesian nonparametric procedure for comparing algorithms. - Alessio Benavoli; Giorgio Corani; Francesca Mangili; Marco Zaffalon (ICML, 2015)

Bayesian Hypothesis Testing in Machine Learning. - Giorgio Corani; Alessio Benavoli; Francesca Mangili; Marco Zaffalon (ECML/PKDD (3), 2015)

New prior near-ignorance models on the simplex. - Francesca Mangili; Alessio Benavoli (Int. J. Approx. Reason., 2015)

A belief function theory based approach to combining different representation of uncertainty in prognostics. - Piero Baraldi; Francesca Mangili; Enrico Zio (Inf. Sci., 2015)

A prior near-ignorance Gaussian process model for nonparametric regression. - Francesca Mangili (Int. J. Approx. Reason., 2016)

Should We Really Use Post-Hoc Tests Based on Mean-Ranks? - Alessio Benavoli; Giorgio Corani; Francesca Mangili (J. Mach. Learn. Res., 2016)

Reliable Knowledge-Based Adaptive Tests by Credal Networks. - Francesca Mangili; Claudio Bonesana; Alessandro Antonucci 001 (ECSQARU, 2017)

Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory. - Piero Baraldi; Francesco Di Maio; Sameer Al-Dahidi; Enrico Zio; Francesca Mangili (Expert Syst. Appl., 2017)

Statistical comparison of classifiers through Bayesian hierarchical modelling. - Giorgio Corani; Alessio Benavoli; Janez Demsar; Francesca Mangili; Marco Zaffalon (Mach. Learn., 2017)

Demo Abstract: Extracting eco-feedback information from automatic activity tracking to promote energy-efficient individual mobility behavior. - Dominik Bucher; Francesca Mangili; Claudio Bonesana; David Jonietz; Francesca Cellina; Martin Raubal (Comput. Sci. Res. Dev., 2018)

ALBIS: integrated system for risk-based surveillance of invasive mosquito Aedes albopictus. - Milan Petar Antonovic; Massimiliano Cannata; Andrea Danani; Lukas Engeler; Eleonora Flacio; Francesca Mangili; Damiana Ravasi; Daniele Strigaro; Mauro Tonolla (PeerJ Prepr., 2018)

Conversational Recommender System by Bayesian Methods. - Francesca Mangili; Denis Broggini; Alessandro Antonucci 001 (SUM, 2020)

A Bayesian Approach to Conversational Recommendation Systems. - Francesca Mangili; Denis Broggini; Alessandro Antonucci 001; Marco Alberti 003; Lorenzo Cimasoni (CoRR, 2020)

A New Score for Adaptive Tests in Bayesian and Credal Networks. - Alessandro Antonucci 001; Francesca Mangili; Claudio Bonesana; Giorgia Adorni (ECSQARU, 2021)

ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks. - Claudio Bonesana; Francesca Mangili; Alessandro Antonucci 001 (CoRR, 2021)

Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates. - Alessandro Antonucci 001; Francesca Mangili; Claudio Bonesana; Giorgia Adorni (FLAIRS, 2022)

Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach. - Francesca Mangili; Giorgia Adorni; Alberto Piatti; Claudio Bonesana; Alessandro Antonucci 001 (SoftCOM, 2022)

Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare. - Elisa Rubegni; Omran Ayoub; Stefania Maria Rita Rizzo; Marco Barbero; Guenda Bernegger; Francesca D. Faraci; Francesca Mangili; Emiliano Soldini; Pierpaolo Trimboli; Alessandro Facchini (HCI (51), 2024)

A theoretical framework for the design and analysis of computational thinking problems in education. - Giorgia Adorni; Alberto Piatti; Engin Bumbacher; Lucio Negrini; Francesco Mondada; Dorit Assaf; Francesca Mangili; Luca Maria Gambardella (CoRR, 2024)

Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment. - Giorgia Adorni; Francesca Mangili; Alberto Piatti; Claudio Bonesana; Alessandro Antonucci 001 (CoRR, 2024)

Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework. - Claudio Bonesana; Daniele Malpetti; Sandra Mitrovic; Francesca Mangili; Laura Azzimonti (CoRR, 2024)

The CTSkills App - Measuring Problem Decomposition Skills of Students in Computational Thinking. - Dorit Assaf; Giorgia Adorni; Elia Lutz; Lucio Negrini; Alberto Piatti; Francesco Mondada; Francesca Mangili; Luca Maria Gambardella (CoRR, 2024)

Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics. - Daniele Malpetti; Marco Scutari; Francesco Gualdi; Jessica van Setten; Sander W. Van der Laan; Saskia Haitjema; Aaron Mark Lee; Isabelle Hering; Francesca Mangili (CoRR, 2025)

FADE-CTP: A Framework for the Analysis and Design of Educational Computational Thinking Problems. - Giorgia Adorni; Alberto Piatti; Engin Bumbacher; Lucio Negrini; Francesco Mondada; Dorit Assaf; Francesca Mangili; Luca Maria Gambardella (Technol. Knowl. Learn., 2025)