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ORCIDFrancesca Mangili
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2020 – today
- 2024
[c10]Elisa Rubegni, Omran Ayoub, Stefania Maria Rita Rizzo, Marco Barbero, Guenda Bernegger, Francesca D. Faraci, Francesca Mangili, Emiliano Soldini, Pierpaolo Trimboli, Alessandro Facchini:
Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare. HCI (51) 2024: 277-296- [i12]Giorgia Adorni
, Alberto Piatti, Engin Bumbacher, Lucio Negrini, Francesco Mondada, Dorit Assaf, Francesca Mangili, Luca Maria Gambardella:
A theoretical framework for the design and analysis of computational thinking problems in education. CoRR abs/2403.19475 (2024) - [i11]Elisa Rubegni, Omran Ayoub, Stefania Maria Rita Rizzo, Marco Barbero, Guenda Bernegger, Francesca D. Faraci, Francesca Mangili, Emiliano Soldini, Pierpaolo Trimboli, Alessandro Facchini:
Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare. CoRR abs/2404.04638 (2024) - [i10]Giorgia Adorni, Francesca Mangili, Alberto Piatti, Claudio Bonesana, Alessandro Antonucci:
Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment. CoRR abs/2408.01221 (2024) - [i9]Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni:
Intelligent tutoring systems by Bayesian nets with noisy gates. CoRR abs/2409.04102 (2024) - [i8]Claudio Bonesana, Daniele Malpetti, Sandra Mitrovic, Francesca Mangili, Laura Azzimonti:
Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework. CoRR abs/2409.13473 (2024) - 2022
- [c9]Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni:
Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates. FLAIRS 2022 - [c8]Francesca Mangili, Giorgia Adorni, Alberto Piatti, Claudio Bonesana, Alessandro Antonucci:
Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach. SoftCOM 2022: 1-6 - [i7]Francesca Mangili, Giorgia Adorni, Alberto Piatti, Claudio Bonesana, Alessandro Antonucci:
Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach. CoRR abs/2209.05467 (2022) - 2021
- [c7]Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni:
A New Score for Adaptive Tests in Bayesian and Credal Networks. ECSQARU 2021: 399-412 - [i6]Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni:
A New Score for Adaptive Tests in Bayesian and Credal Networks. CoRR abs/2105.12205 (2021) - [i5]Claudio Bonesana, Francesca Mangili, Alessandro Antonucci:
ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks. CoRR abs/2112.14476 (2021) - 2020
- [c6]Francesca Mangili, Denis Broggini, Alessandro Antonucci:
Conversational Recommender System by Bayesian Methods. SUM 2020: 200-214 - [i4]Francesca Mangili, Denis Broggini, Alessandro Antonucci, Marco Alberti, Lorenzo Cimasoni:
A Bayesian Approach to Conversational Recommendation Systems. CoRR abs/2002.05063 (2020)
2010 – 2019
- 2018
- [j10]Dominik Bucher, Francesca Mangili, Claudio Bonesana, David Jonietz, Francesca Cellina, Martin Raubal:
Demo Abstract: Extracting eco-feedback information from automatic activity tracking to promote energy-efficient individual mobility behavior. Comput. Sci. Res. Dev. 33(1-2): 267-268 (2018) - [i3]Milan Petar Antonovic, Massimiliano Cannata, Andrea Danani, Lukas Engeler, Eleonora Flacio, Francesca Mangili, Damiana Ravasi, Daniele Strigaro, Mauro Tonolla:
ALBIS: integrated system for risk-based surveillance of invasive mosquito Aedes albopictus. PeerJ Prepr. 6: e27251 (2018) - 2017
- [j9]Piero Baraldi, Francesco Di Maio, Sameer Al-Dahidi, Enrico Zio, Francesca Mangili:
Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory. Expert Syst. Appl. 83: 226-241 (2017) - [j8]Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon:
Statistical comparison of classifiers through Bayesian hierarchical modelling. Mach. Learn. 106(11): 1817-1837 (2017) - [c5]Francesca Mangili, Claudio Bonesana, Alessandro Antonucci:
Reliable Knowledge-Based Adaptive Tests by Credal Networks. ECSQARU 2017: 282-291 - 2016
- [j7]Francesca Mangili:
A prior near-ignorance Gaussian process model for nonparametric regression. Int. J. Approx. Reason. 78: 153-171 (2016) - [j6]Alessio Benavoli, Giorgio Corani, Francesca Mangili:
Should We Really Use Post-Hoc Tests Based on Mean-Ranks? J. Mach. Learn. Res. 17: 5:1-5:10 (2016) - [i2]Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon:
Statistical comparison of classifiers through Bayesian hierarchical modelling. CoRR abs/1609.08905 (2016) - 2015
- [j5]Francesca Mangili, Alessio Benavoli:
New prior near-ignorance models on the simplex. Int. J. Approx. Reason. 56: 278-306 (2015) - [j4]Piero Baraldi, Francesca Mangili, Enrico Zio:
A belief function theory based approach to combining different representation of uncertainty in prognostics. Inf. Sci. 303: 134-149 (2015) - [c4]Alessio Benavoli, Francesca Mangili:
Gaussian Processes for Bayesian hypothesis tests on regression functions. AISTATS 2015 - [c3]Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon:
A Bayesian nonparametric procedure for comparing algorithms. ICML 2015: 1264-1272 - [c2]Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon:
Bayesian Hypothesis Testing in Machine Learning. ECML/PKDD (3) 2015: 199-202 - [i1]Alessio Benavoli, Giorgio Corani, Francesca Mangili:
Should we really use post-hoc tests based on mean-ranks? CoRR abs/1505.02288 (2015) - 2014
- [j3]Piero Baraldi, Enrico Zio, Francesca Mangili, Giulio Gola, Bent H. Nystad:
Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms. Int. J. Comput. Intell. Syst. 7(2): 225-241 (2014) - [c1]Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri:
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. ICML 2014: 1026-1034 - 2013
- [j2]Piero Baraldi, Francesca Mangili, Enrico Zio:
Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data. Reliab. Eng. Syst. Saf. 112: 94-108 (2013) - 2012
- [j1]Piero Baraldi, Francesca Mangili, Enrico Zio:
A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics. IEEE Trans. Reliab. 61(4): 966-977 (2012)
Coauthor Index
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