Giorgio Corani
Giorgio Corani
IDSIA (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale), Manno (Switzerland)
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Cited by
Cited by
Air quality prediction in Milan: feed-forward neural networks, pruned neural networks and lazy learning
G Corani
Ecological modelling 185 (2-4), 513-529, 2005
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis
A Benavoli, G Corani, J Demšar, M Zaffalon
The Journal of Machine Learning Research 18 (1), 2653-2688, 2017
Should we really use post-hoc tests based on mean-ranks?
A Benavoli, G Corani, F Mangili
The Journal of Machine Learning Research 17 (1), 152-161, 2016
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2.
G Corani, M Zaffalon
Journal of Machine Learning Research 9 (4), 2008
Learning Bayesian Networks with Thousands of Variables.
M Scanagatta, CP de Campos, G Corani, M Zaffalon
NIPS, 1864-1872, 2015
Coupling fuzzy modeling and neural networks for river flood prediction
G Corani, G Guariso
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and†…, 2005
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process
A Benavoli, G Corani, F Mangili, M Zaffalon, F Ruggeri
International conference on machine learning, 1026-1034, 2014
An ensemble of bayesian networks for multilabel classification
A Antonucci, G Corani, DD MauŠ, S Gabaglio
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
Evaluating credal classifiers by utility-discounted predictive accuracy
M Zaffalon, G Corani, D MauŠ
International Journal of Approximate Reasoning 53 (8), 1282-1301, 2012
Blastomere segmentation and 3d morphology measurements of early embryos from hoffman modulation contrast image stacks
A Giusti, G Corani, L Gambardella, C Magli, L Gianaroli
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro†…, 2010
Air pollution prediction via multi-label classification
G Corani, M Scanagatta
Environmental modelling & software 80, 259-264, 2016
Reinforcement learning in the operational management of a water system
A Castelletti, G Corani, A Rizzolli, R Soncinie-Sessa, E Weber
IFAC workshop on modeling and control in environmental issues, 325-330, 2002
Bayesian networks with imprecise probabilities: Theory and application to classification
G Corani, A Antonucci, M Zaffalon
Data Mining: Foundations and Intelligent Paradigms, 49-93, 2012
A Bayesian network model for predicting pregnancy after in vitro fertilization
G Corani, C Magli, A Giusti, L Gianaroli, LM Gambardella
Computers in biology and medicine 43 (11), 1783-1792, 2013
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables.
M Scanagatta, G Corani, CP de Campos, M Zaffalon
NIPS, 1462-1470, 2016
A tutorial on machine learning for failure management in optical networks
F Musumeci, C Rottondi, G Corani, S Shahkarami, F Cugini, M Tornatore
Journal of Lightwave Technology 37 (16), 4125-4139, 2019
Statistical comparison of classifiers through Bayesian hierarchical modelling
G Corani, A Benavoli, J Demšar, F Mangili, M Zaffalon
Machine Learning 106 (11), 1817-1837, 2017
An application of pruning in the design of neural networks for real time flood forecasting
G Corani, G Guariso
Neural Computing & Applications 14 (1), 66-77, 2005
Credal model averaging: an extension of Bayesian model averaging to imprecise probabilities
G Corani, M Zaffalon
Joint European Conference on Machine Learning and Knowledge Discovery in†…, 2008
Approximate structure learning for large Bayesian networks
M Scanagatta, G Corani, CP De Campos, M Zaffalon
Machine Learning 107 (8), 1209-1227, 2018
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