Giorgio Corani
Giorgio Corani
IDSIA (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale)
Verified email at - Homepage
Cited by
Cited by
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis
A Benavoli, G Corani, J Demšar, M Zaffalon
Journal of Machine Learning Research 18 (77), 1-36, 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
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
Learning Bayesian networks with thousands of variables
M Scanagatta, CP de Campos, G Corani, M Zaffalon
Advances in neural information processing systems 28, 2015
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
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
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
Evaluating credal classifiers by utility-discounted predictive accuracy
M Zaffalon, G Corani, D MauŠ
International Journal of Approximate Reasoning 53 (8), 1282-1301, 2012
Air pollution prediction via multi-label classification
G Corani, M Scanagatta
Environmental modelling & software 80, 259-264, 2016
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
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
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
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
A Bayesian approach for comparing cross-validated algorithms on multiple data sets
G Corani, A Benavoli
Machine Learning 100 (2), 285-304, 2015
Statistical comparison of classifiers through Bayesian hierarchical modelling
G Corani, A Benavoli, J Demšar, F Mangili, M Zaffalon
Machine Learning 106, 1817-1837, 2017
Bayesian networks with imprecise probabilities: Theory and application to classification
G Corani, A Antonucci, M Zaffalon
Data Mining: Foundations and Intelligent Paradigms: Volume 1: Clustering†…, 2012
Learning treewidth-bounded Bayesian networks with thousands of variables
M Scanagatta, G Corani, CP De Campos, M Zaffalon
Advances in neural information processing systems 29, 2016
Approximate structure learning for large Bayesian networks
M Scanagatta, G Corani, CP De Campos, M Zaffalon
Machine Learning 107, 1209-1227, 2018
Entropy-based pruning for learning Bayesian networks using BIC
CP de Campos, M Scanagatta, G Corani, M Zaffalon
Artificial Intelligence 260, 42-50, 2018
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
The system can't perform the operation now. Try again later.
Articles 1–20