Francesca Mangili

According to our database, Francesca Mangili authored at least 23 papers between 2012 and 2024.

Collaborative distances:

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

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

2022

Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach.

Francesca Mangili, Giorgia Adorni, Alberto Piatti, Claudio Bonesana, Alessandro Antonucci

Proceedings of the 30th International Conference on Software, 2022

Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates.

Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021

ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks.

Claudio Bonesana, Francesca Mangili, Alessandro Antonucci

CoRR, 2021

A New Score for Adaptive Tests in Bayesian and Credal Networks.

Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020

A Bayesian Approach to Conversational Recommendation Systems.

Francesca Mangili, Denis Broggini, Alessandro Antonucci, Marco Alberti, Lorenzo Cimasoni

CoRR, 2020

Conversational Recommender System by Bayesian Methods.

Francesca Mangili, Denis Broggini, Alessandro Antonucci

Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

2018

ALBIS: integrated system for risk-based surveillance of invasive mosquito <i>Aedes albopictus</i>.

Milan Petar Antonovic, Massimiliano Cannata, Andrea Danani, Lukas Engeler, Eleonora Flacio, Francesca Mangili, Damiana Ravasi, Daniele Strigaro, Mauro Tonolla

PeerJ Prepr., 2018

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

2017

Statistical comparison of classifiers through Bayesian hierarchical modelling.

Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon

Mach. Learn., 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

Reliable Knowledge-Based Adaptive Tests by Credal Networks.

Francesca Mangili, Claudio Bonesana, Alessandro Antonucci

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

2016

Should We Really Use Post-Hoc Tests Based on Mean-Ranks?

Alessio Benavoli, Giorgio Corani, Francesca Mangili

J. Mach. Learn. Res., 2016

A prior near-ignorance Gaussian process model for nonparametric regression.

Francesca Mangili

Int. J. Approx. Reason., 2016

2015

A belief function theory based approach to combining different representation of uncertainty in prognostics.

Piero Baraldi, Francesca Mangili, Enrico Zio

Inf. Sci., 2015

New prior near-ignorance models on the simplex.

Francesca Mangili, Alessio Benavoli

Int. J. Approx. Reason., 2015

Bayesian Hypothesis Testing in Machine Learning.

Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

A Bayesian nonparametric procedure for comparing algorithms.

Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon

Proceedings of the 32nd International Conference on Machine Learning, 2015

Gaussian Processes for Bayesian hypothesis tests on regression functions.

Alessio Benavoli, Francesca Mangili

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

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

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process.

Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

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

2012

A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics.

Piero Baraldi, Francesca Mangili, Enrico Zio

IEEE Trans. Reliab., 2012