Francesca Mangili
Orcid: 0000-0002-3215-1028
According to our database1,
Francesca Mangili
authored at least 26 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
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
Proceedings of the 30th International Conference on Software, 2022
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
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021
2020
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
Mach. Learn., 2017
Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory.
Expert Syst. Appl., 2017
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017
2016
Int. J. Approx. Reason., 2016
2015
A belief function theory based approach to combining different representation of uncertainty in prognostics.
Inf. Sci., 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
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
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