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 | 497 | 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 | 416 | 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 | 291 | 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 | 138 | 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 | 121 | 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 | 113 | 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 | 104 | 2008 |
Evaluating credal classifiers by utility-discounted predictive accuracy M Zaffalon, G Corani, D Mauá International Journal of Approximate Reasoning 53 (8), 1282-1301, 2012 | 86 | 2012 |
Air pollution prediction via multi-label classification G Corani, M Scanagatta Environmental modelling & software 80, 259-264, 2016 | 78 | 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 | 75 | 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 | 68 | 2002 |
An ensemble of Bayesian networks for multilabel classification A Antonucci, G Corani, DD Mauá, S Gabaglio Twenty-third international joint conference on artificial intelligence, 2013 | 66 | 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 | 62 | 2010 |
Statistical comparison of classifiers through Bayesian hierarchical modelling G Corani, A Benavoli, J Demšar, F Mangili, M Zaffalon Machine Learning 106, 1817-1837, 2017 | 59 | 2017 |
A Bayesian approach for comparing cross-validated algorithms on multiple data sets G Corani, A Benavoli Machine Learning 100 (2), 285-304, 2015 | 59 | 2015 |
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 | 55 | 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 | 52 | 2016 |
Approximate structure learning for large Bayesian networks M Scanagatta, G Corani, CP De Campos, M Zaffalon Machine Learning 107, 1209-1227, 2018 | 46 | 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 | 46 | 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 | 44 | 2013 |