Francesca Mangili

Orcid: 0000-0002-3215-1028

According to our database1, Francesca Mangili authored at least 26 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework.
CoRR, 2024

Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment.
CoRR, 2024

A theoretical framework for the design and analysis of computational thinking problems in education.
CoRR, 2024

Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare.
Proceedings of the Artificial Intelligence in HCI, 2024

2022
Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach.
Proceedings of the 30th International Conference on Software, 2022

Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates.
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.
CoRR, 2021

A New Score for Adaptive Tests in Bayesian and Credal Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020
A Bayesian Approach to Conversational Recommendation Systems.
CoRR, 2020

Conversational Recommender System by Bayesian Methods.
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>.
PeerJ Prepr., 2018

Demo Abstract: Extracting eco-feedback information from automatic activity tracking to promote energy-efficient individual mobility behavior.
Comput. Sci. Res. Dev., 2018

2017
Statistical comparison of classifiers through Bayesian hierarchical modelling.
Mach. Learn., 2017

Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory.
Expert Syst. Appl., 2017

Reliable Knowledge-Based Adaptive Tests by Credal Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

2016
Should We Really Use Post-Hoc Tests Based on Mean-Ranks?
J. Mach. Learn. Res., 2016

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

2015
A belief function theory based approach to combining different representation of uncertainty in prognostics.
Inf. Sci., 2015

New prior near-ignorance models on the simplex.
Int. J. Approx. Reason., 2015

Bayesian Hypothesis Testing in Machine Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

A Bayesian nonparametric procedure for comparing algorithms.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Gaussian Processes for Bayesian hypothesis tests on regression functions.
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.
Int. J. Comput. Intell. Syst., 2014

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process.
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.
Reliab. Eng. Syst. Saf., 2013

2012
A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics.
IEEE Trans. Reliab., 2012


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