Photo IDSIA (SUPSI)
Via Cantonale, Galleria 1
6928 Manno, Switzerland
mail: francesca@idsia.ch
tel: +41 58 666 6515
web: www.idsia.ch/~mangili

Francesca Mangili

Publications

Articles in journals

F. Mangili. A prior near-ignorance Gaussian process model for nonparametric regression. International Journal of Approximate Reasoning, 2016, in press.

F. Mangili, A. Benavoli, C.P. de Campos, M. Zaffalon. Reliable survival analysis based on the Dirichlet Process. Biometrical Journal, 2015, Vol 57(6), pp. 1002–1019.

A. Benavoli, G. Corani, F. Mangili. Should we really use post-hoc tests based on mean-ranks? Journal of machine learning research 2015, Vol 17(5), pp. 1-10.

F. Mangili, A. Benavoli. New prior near-ignorance models on the simplex. International Journal of Approximate Reasoning, 2015, Vol 56 (B), pp. 278–306.

P. Baraldi, F. Mangili, E. Zio. A belief function theory based approach to combining different representation of uncertainty in prognostics, Information Sciences, 2015, Vol 303, pp. 134-149.

A. Benavoli, F. Mangili, F. Ruggeri, and M. Zaffalon. Imprecise Dirichlet Process with application to the hypothesis test on the probability that X < Y. Journal of Statistical Theory and Practice, 2014, pp. 1-24.

P. Baraldi, F. Mangili, E. Zio. A prognostics approach to nuclear component degradation modeling based on Gaussian Process Regression, Progress in Nuclear Energy, 2015, Vol 78, pp. 141–154.

P. Baraldi, E. Zio, F. Mangili,G. Gola, B. H. Nystad. A hybrid ensemble-based approach for process parameter estimation and degradation assessment in offshore oil platforms. International Journal of Performability Engineering 2014, Vol 10(5), pp. 497-509.

P. Baraldi, F. Mangili, E. Zio. Uncertainty treatment in model-based and data-driven prognostic approaches, Reliability Engineering & System Safety, 2013, Vol 112C, pp. 94-108.

P. Baraldi, F. Cadini, F. Mangili, E. Zio. Model-Based and Data-Driven Prognostics under Different Available Information, Probabilistic Engineering Mechanics 2013, Volume 32, pp. 66–79.

P. Baraldi, F. Mangili, E. Zio, A Kalman Filter-based Ensemble Approach for Turbine Creep Prognostics. IEEE Transactions on Reliability 2012, Vol 61(4), pp. 966 - 977.

P. Baraldi, A. Cammi, F. Mangili, E. Zio. An ensemble approach to sensor fault detection and signal reconstruction for nuclear system control. Annals of Nuclear Energy 2010, Vol. 37(6), pp. 778-790.

P. Baraldi, A. Cammi, F. Mangili, E. Zio. Local Fusion of an Ensemble of Models for the Reconstruction of Faulty Signals. IEEE Transactions on Nuclear Science 2010, Vol. 57(2), pp. 793 – 806.

Peer-reviewed articles in conference proceedings

D. Bucher, F. Cellina, F. Mangili, M. Raubal, R. Rudel, A.E. Rizzoli, O. Elabed. Exploiting fitness apps for sustainable mobility - challenges deploying the GoEco! App. In Proceedings of the 2016 conference ICT for Sustainability, Advances in Computer Science Research, August 2016.

F. Mangili, C. Bonesana, A. Antonucci, M. Zaffalon, E. Rubegni, L. Addimando. Adaptive testing by Bayesian networks with application to language assessment. In Micarelli, Alessandro, Stamper, John, Panourgia, Kitty (Eds), Intelligent Tutoring Systems: 13th International Conference, ITS 2016, Zagreb, Croatia, June 7-10, 2016. Proceedings, Lecture Notes in Computer Science, pp. 471–472.

F. Mangili. A prior near-ignorance Gaussian Process model for nonparametric regression. In Augustin,T., Doria, S., Miranda, E., Quaeghebeur, E. (Eds), ISIPTA '15: Proceedings of the 9th International Symposium on Imprecise Probability: Theories and Applications, SIPTA, pp. 187–196.

A. Benavoli, G. Corani, F. Mangili, M. Zaffalon. A Bayesian nonparametric procedure for comparing algorithms. Proceedings of the 31th International Conference on Machine Learning (ICML 2015), pages 1-9, July 2015.

A. Benavoli, F. Mangili. Gaussian Processes for Bayesian hypothesis tests on regression functions. Proceedings of the 18th International Conference on Artificial Intelligence (AISTAT 2015), pages 1-9, May 2015.

A. Benavoli, F. Mangili, G. Corani, M. Zaffalon and F. Ruggeri A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. Proceedings of the 30th International Conference on Machine Learning (ICML 2014), pages 1-9, Beijing (CN), July 2014.

P. Baraldi, F. Di Maio, F. Mangili, E. Zio. Prognostics under Different Available Information. Prognostics and System Health Management Conference, Milan (IT), September 2013.

P. Baraldi, F. Di Maio, F. Mangili, E. Zio. A Belief Function Theory Method for Prognostics in Clogging Filters. Prognostics and System Health Management Conference, Milan (IT), September 2013.

F. Mangili, A. Benavoli. New Prior Near-ignorance Models on the Simplex. In Proc. ISIPTA'13 - 8th Int. Symposium on imprecise Probability: Theories and Applications, pages 1-9, Compiegne (FR), July 2013.

P. Baraldi, E. Zio, F. Mangili,G. Gola, B. H. Nystad. A hybrid ensemble approach for process parameter estimation in offshore oil platforms. In Proc. FLINS Conference, 1227 - 1232, Istanbul (TR), August 2012.

G. Gola, B. H. Nystad, P. Baraldi, F. Mangili, E. Zio, Health Assessment of Choke Valves undergoing Erosion with a Hybrid Ensemble Approach. In Proc. PSAM 11 & ESREL, pages 1-7, Helsinki (FI), June 2012.

P. Baraldi, F. Mangili, E. Zio. Ensemble of Bootstrapped Models for the prediction of the Remaining Useful Life of a Creeping Turbine Blade. In Proc. IEEE Int. PHM Conf., pages 1-8, Denver (CO), June 2012.

P. Baraldi, E. Zio, F. Mangili,G. Gola, B. H. Nystad. An ensemble based approach for process parameter estimation in offshore oil platforms. In Proc. EHPG Meeting, pages 1-11, Sandefjord (NO), October 2011.

P. Baraldi, G. Gola, M. Hoffmann, F. Mangili, D. Roverso, E. Zio. Comparison of different methods of aggregation of model ensemble outcomes in the validation and reconstruction of real nuclear power plant signals. In Proc. SREL conf., pages 1227 - 1232, Rhodes (GR), September 2010.