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Nome e cognome Giorgio Corani

Dipartimento/Scuola/Unità Istituto Dalle Molle di studi sull'intelligenza artificiale

Email giorgio.corani@supsi.ch

Ufficio Galleria 1 - 233
Via Cantonale, 6928 Manno

Telefono interno +41586666515

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Dati anagrafici Nato nel 1974.

Formazione G. Corani si laurea presso il Politecnico di Milano a pieni voti in Ingegneria Ambientale nel 1999. Nel 2005 ottiene il Dottorato in Ingegneria dell'Informazione presso il Politecnico di Milano. Durante il dottorato ha trascorso un periodo di studio presso il Machine Learning Group dell'Université di Bruxelles.

Esperienze professionali Nel 2001-2005 é stato consulente part-time per Agenzia Milanese Mobilità Ambiente, come coordinatore di un progetto per la predizione dell'inquinamento atmosferico a Milano. Nel 2006 lavora presso Cognitive Drug Research (CDR) Ltd., UK, in un progetto congiunto IDSIA/CDR, per sviluppare un modello statistico per la diagnosi della demenza. Lavora come ricercatore presso IDSIA dal 2006.

Competenze Le sue aree di ricerca includono modelli probabilistici, data mining, probabilità imprecise e modelli matematici di sistemi ambientali. E' autore di circa 40 pubblicazioni internazionali in queste aree. Tiene corsi nell'ambito della statistica e del data mining presso l'USI e la SUPSI. Ha partecipato alla preparazione di documentazione di molti progetti che sono stati poi effettivamente finanziati.

Riconoscimenti Nel 2002 ha vinto il Best Paper Prize presso la International Environmental Modelling and Software Conference. Nel 2007 ha vinto il premio Rotary Como come ricercatore nell'area ambientale.

Articolo di un giornale scientifico 30 Elementi

Azzimonti, L., Corani, G.& Zaffalon, M. (2019) Hierarchical estimation of parameters in Bayesian networks. Computational Statistics and Data Analysis, vol. 137 pp.67-91. » in dettaglio Musumeci, F., Rottondi, C., Corani, G., Shahkarami, S., Cugini, F.& Tornatore, M. (2019) Tutorial on Machine Learning for Failure Management in Optical Networks, A. Journal of Lightwave Technology pp.1-1. » in dettaglio Salani, M., Corbellini, G.& Corani, G. (2019) Hybrid heuristic for the optimal design of photovoltaic installations considering mismatch loss effects. Computers & Operations Research, vol. 108 pp.112-120. » in dettaglio Sechidis, K., Azzimonti, L., Pocock, A., Corani, G., Weatherall, J.& Brown, G. (2019) Efficient feature selection using shrinkage estimators. Machine Learning. » in dettaglio de Campos, C., Scanagatta, M., Corani, G.& Zaffalon, M. (2018) Entropy-based pruning for learning Bayesian networks using BIC. Artificial Intelligence, vol. 260 pp.42-50. » in dettaglio Scanagatta, M., Corani, G., De Campos, C.& Zaffalon, M. (2018) Approximate structure learning for large Bayesian networks. Machine Learning. » in dettaglio Scanagatta, M., Corani, G., Zaffalon, M., Yoo, J.& Kang, U. (2018) Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets. International Journal of Approximate Reasoning, vol. 95 pp.152-166. » in dettaglio Benavoli, A., Corani, G., Demšar, J.& Zaffalon, M. (2017) Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. Journal of Machine Learning Research, vol. 18 (77) pp.1-36. » in dettaglio Corani, G., Benavoli, A., Demšar, J., Mangili, F.& Zaffalon, M. (2017) Statistical comparison of classifiers through Bayesian hierarchical modelling. Machine Learning. » in dettaglio Antonucci, A.& Corani, G. (2016) multilabel naive credal classifier, The. International Journal of Approximate Reasoning, vol. 83 pp.320-336. » in dettaglio Benavoli, A., Corani, G.& Mangili, F. (2016) Should we really use post-hoc tests based on mean-ranks?. Journal of Machine Learning Research, vol. 17 (5) pp.1-10. » in dettaglio Corani, G.& Scanagatta, M. (2016) Air pollution prediction via multi-label classification. Environmental Modelling & Software, vol. 80 pp.259-264. » in dettaglio Corani, G.& Benavoli, A. (2015) Bayesian approach for comparing cross-validated algorithms on multiple data sets, A. Machine Learning, vol. 100 (2) pp.285-304. » in dettaglio Corani, G.& Mignatti, A. (2015) Robust Bayesian model averaging for the analysis of presence–absence data. Environmental and Ecological Statistics, vol. 22 (3) pp.513-534. » in dettaglio De Campos, C., Corani, G., Scanagatta, M., Cuccu, M.& Zaffalon, M. (2015) Learning extended tree augmented naive structures. International Journal of Approximate Reasoning.. » in dettaglio Corani, G.& Antonucci, A. (2014) Credal Ensembles of Classifiers . Computational Statistics & Data Analysis, vol. 71 pp.818-831. » in dettaglio Corani, G.& Mignatti, A. (2014) Credal model averaging for classification: representing prior ignorance and expert opinions. International Journal of Approximate Reasoning, vol. 56B pp.264-277. » in dettaglio Zaffalon, M.& Corani, G. (2014) Comments on “Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks” by Andrés R. Masegosa and Serafín Moral. International Journal of Approximate Reasoning, vol. 55 (7) pp.1597-1600. » in dettaglio Corani, G., Magli, C., Giusti, A., Gianaroli, L.& Gambardella, L. (2013) Bayesian network model for predicting pregnancy after in vitro fertilization, A. Computers in Biology and Medicine, vol. 43 (11) pp.1783-1792. » in dettaglio Gianaroli, L., Magli, C., Gambardella, L., Giusti, A., Grugnetti, C.& Corani, G. (2013) Objective way to support embryo transfer: a probabilistic decision. Human Reproduction, vol. 28 (5) pp.1210-1220. » in dettaglio Magli, C., Corani, G., Giusti, A., Castelletti, E., Gambardella, L.& Gianaroli, L. (2012) prognostic model for multiple-embryo transfers, A. Human Reproduction, vol. 27 (2) pp.162-205. » in dettaglio Corani, G.& De Campos, C. (2010) tree augmented classifier based on extreme imprecise Dirichlet model, A. International Journal of Approximate Reasoning, vol. 51 (9) pp.1053-1068. » in dettaglio Corani, G.& Zaffalon, M. (2008) JNCC2: an extension of naive Bayes classifier suited for small and incomplete data sets. Environmental Modelling & Software, vol. 23 (7) pp.960-961. » in dettaglio Corani, G.& Zaffalon, M. (2008) JNCC2: the Java implementation of naive credal classifier 2. Journal of Machine Learning Research, vol. 9 pp.2695-2698. » in dettaglio Corani, G.& Zaffalon, M. (2008) Learning reliable classifiers from small or incomplete data sets: the naive credal classifier 2. Journal of Machine Learning Research, vol. 9 pp.581-621. » in dettaglio Corani, G.& Gatto, M. (2006) Model selection in demographic time series using VC-bounds. Ecological Modelling, vol. 191 (1) pp.186-195. » in dettaglio Corani, G.& Gatto, M. (2006) VC-dimension and structural risk minimization for the analysis of nonlinear ecological models. Applied mathematics and computation, vol. 176 (1) pp.166-176. » in dettaglio Corani, G. (2005) Air quality prediction in Milan: feed-forward neural networks, pruned neural networks and lazy learning. Ecological Modelling, vol. 185 (2-4) pp.513-529. » in dettaglio Corani, G.& Guariso, G. (2005) application of pruning in the design of neural networks for real time flood forecasting, An. Neural Computing & Applications, vol. 14 (1) pp.66-77. » in dettaglio Corani, G.& Guariso, G. (2005) Coupling fuzzy modeling and neural networks for river flood prediction. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 35 (3) pp.382-390. » in dettaglio

Articolo in documento di una conferenza 22 Elementi

Corani, G., Azzimonti, D., Augusto, J.& Zaffalon, M. (2020) Probabilistic reconciliation of hierarchical forecast via Bayes’ rule. » in dettaglio Gittler, T., Relea, E., Corti, D., Corani, G., Weiss, L., Cannizzaro, D.& Wegener, K. (2019) Towards predictive quality management in assembly systems with low quality low quantity data – a methodological approach. In 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 18-20 July 2018, Gulf of Naples, Italy, pp.125-130. » in dettaglio Azzimonti, L., Corani, G.& Zaffalon, M. (2017) Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables., pp.739-744. » in dettaglio Scanagatta, M., Corani, G.& Zaffalon, M. (2017) Improved local search in Bayesian networks structure learning., pp.45-56. » in dettaglio Scanagatta, M., Corani, G., De Campos, C.& Zaffalon, M. (2016) Learning treewidth-bounded bayesian networks with thousands of variables. » in dettaglio Benavoli, A., Corani, G., Mangili, F.& Zaffalon, M. (2015) Bayesian nonparametric procedure for comparing algorithms, A. In Proceedings of the 32th International Conference on Machine Learning (ICML 2015), pp.1264-1272. » in dettaglio Cellina, F., Corani, G., Rizzoli, A., Bonesana, C., Bettini, A., Baldassari, A., Cavadini, P., Soldini, E.& Rudel, R. (2015) Using living labs to investigate the transition towards electric mobility: the e-mobiliTI experiment in Southern Switzerland. In Proceedings of the. » in dettaglio Corani, G., Benavoli, A., Mangili, F.& Zaffalon, M. (2015) Bayesian hypothesis testing in machine learning. In Proc. ECML PKDD 2015 (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases), pp.199-202. » in dettaglio Scanagatta, M., De Campos, C., Corani, G.& Zaffalon, M. (2015) Learning Bayesian networks with thousands of variables. » in dettaglio Corani, G., Antonucci, A., Mauá, D.& Bernaschina, S. (2014) Trading off Speed and Accuracy in Multilabel Classification. In PGM'14: Proceedings of the Seventh European Workshop on Probabilistic Graphical Models, pp.145-159. Springer. » in dettaglio De Campos, C., Cuccu, M., Corani, G.& Zaffalon, M. (2014) Extended tree augmented naive classifier. In PGM'14: Proceedings of the Seventh European Workshop on Probabilistic Graphical Models. Springer. » in dettaglio Rizzoli, A., Rudel, R., Forster, A., Corani, G., Cellina, F., Pampuri, L., Guidi, R.& Baldassari, A. (2014) Investigating mobility styles using smartphones: advantages and limitations according to a field study in Southern Switzerland. In Proceedings of the 7th International Congress on Environmental Modelling and Software, June 15-19, San Diego, California, USA,. » in dettaglio Antonucci, A., Corani, G., Mauá, D.& Gabaglio, S. (2013) ensemble of Bayesian networks for multilabel classification, An. » in dettaglio Antonucci, A., Corani, G.& Bernaschina, S. (2012) Active learning by the naive credal classifier . In Communications in Computer and Information Science, Advances in Computational Intelligence, pp.3-10. » in dettaglio Corani, G., Antonucci, A.& De Rosa, R. (2012) Compression-based AODE classifiers., pp.264-269. IOS Press. » in dettaglio Corani, G., Magli, C., Giusti, A., Gianaroli, L.& Gambardella, L. (2012) Bayesian network model for predicting the outcome of in vitro fertilization, A., pp.75-82. PGM conference. » in dettaglio Mignatti, A., Corani, G.& Rizzoli, A. (2012) Credal Model Averaging: dealing robustly with model uncertainty on small data sets. In International Environmental Modelling and Software Society (iEMSs) 2012 International Congress on Environmental Modelling and Software. Managing Resources of a Limited Planet: Pathways and Visions under Uncertainty, Sixth Biennial Meeting, pp.163-170. iEMSs, Manno, Switzerland. » in dettaglio Corani, G., Giusti, A., Migliore, D.& Schmidhuber, J. (2010) Robust texture recognition using credal classifiers., pp.781-7810. BMVA Press. » in dettaglio Corani, G.& Zaffalon, M. (2009) Lazy naive credal classifier., pp.30-37. ACM. » in dettaglio Corani, G.& Zaffalon, M. (2008) Credal model averaging: an extension of Bayesian model averaging to imprecise probabilities. In Machine Learning and Knowledge Discovery in Databases, pp.257-271. Springer, Berlin / Heidelberg. » in dettaglio Corani, G.& Zaffalon, M. (2008) Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications., pp.84-90. Worldcomp. » in dettaglio Corani, G., Edgar, C., Marshall, I., Wesnes, K.& Zaffalon, M. (2006) Classification of dementia types from cognitive profiles data. In Knowledge Discovery in Databases: PKDD 2006, pp.470-477. Springer. » in dettaglio

Capitolo di un libro 5 Elementi

Corani, G., Abellán, J., Masegosa, A., Moral, S.& Zaffalon, M. 2014. Classification. In Introduction to Imprecise Probabilities, Augustin Thomas ,Coolen Frank ,De Cooman Gert ,Troffaes Mattias , pp.261-285. Wiley. » in dettaglio Corani, G.& Mignatti, A. 2013. Credal model averaging of logistic regression for modeling the distribution of marmot burrows. In Proceedings ISIPTA '13 (the Eighth International Symposium on Imprecise Probability: Theories and Applications)., pp.233-243. SIPTA (Society for Imprecise Probability: Theory and Applications). » in dettaglio Corani, G., Antonucci, A.& Zaffalon, M. 2012. Bayesian networks with imprecise probabilities: theory and application to classification. In Data Mining: Foundations and Intelligent Paradigms, Intelligent Systems Reference Library, vol. 23, pp.49-93. Springer, Berlin / Heidelberg. » in dettaglio Corani, G.& Benavoli, A. 2010. Restricting the IDM for classification. In Information Processing and Management of Uncertainty in Knowledge-based Systems. Theory and Methods, Communications in Computer and Information Science, vol. 80, pp.328-337. Springer, Berlin / Heidelberg. » in dettaglio Corani, G., Rizzoli, A., Salvetti, A.& Zaffalon, M. 2009. Reproducing human decisions in reservoir management: the case of lake lugano. In Information Technologies in Environmental Engineering, pp.252-263. Springer, Berlin / Heidelberg. » in dettaglio

Report 6 Elementi

Corani, G., Benavoli, A., Demšar, J., Mangili, F.& Zaffalon, M. (2016) Statistical comparison of classifiers through Bayesian hierarchical modelling. IDSIA. » in dettaglio Corani, G.& Benavoli, A. (2015) Bayesian comparison of two cross-validated algorithms on multiple data sets.. IDSIA. » in dettaglio Antonucci, A., Cattaneo, P.& Corani, G. (2012) Likelihood-Based Robust Classification with Bayesian Networks. IDSIA. » in dettaglio Zaffalon, M., Corani, G.& Deratani Maua, D. (2012) Evaluating credal classifiers by utility-discounted predictive accuracy. IDSIA. » in dettaglio Corani, G.& Zaffalon, M. (2007) JNCC2: the Java implementation of the Naive Credal Classifier2. IDSIA. » in dettaglio Corani, G.& Zaffalon, M. (2007) Naive Credal Classifier 2: a robust approach to classification for small and incomplete data sets. IDSIA. » in dettaglio

Progetti di cui è responsabile

Meteo-Aware » in dettaglio

Progetti di cui è membro

DESIGNPV » in dettaglio ViSyNDI » in dettaglio OmniProfiler » in dettaglio BOARD Predictive Analytics: estensione di BOARD con strumenti avanzati di supporto alla decisioni ba » in dettaglio e-mobiliTI - Penetrazione della mobilità elettrica individuale in Ticino: un approccio partecipativo » in dettaglio Multi Model Inference For dealing with Uncertainty in Environ... » in dettaglio Tracemyworld - Sviluppo di tecnologie e servizi innovativi in ambiente AJAX e Web2.0 per un portale » in dettaglio Intelligent INvitro INcubator » in dettaglio Credal Model Averaging For dealing with Uncertainty in Environmental Modelling » in dettaglio Classification of cognitive profiles » in dettaglio

 
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