- Methodological overview Experiments Conclusions Credal Model Averaging: an Extension of Bayesian
- Coupling fuzzy modelling and neural networks for river flood prediction
- Classification of dementia types from cognitive profiles data
- A tree augmented classifier based on Extreme Imprecise Dirichlet Model
- Structural Risk Minimization: a robust method for density-dependence detection and
- VC-dimension and Structural Risk Minimization for the analysis of nonlinear
- An application of pruning in the design of neural networks for real time flood
- Air quality prediction in Milan: feed-forward neural networks, pruned neural networks and
- 3D Localization of Pronuclei of Human Zygotes using Texture Features from Multiple Focal
- 6th International Symposium on Imprecise Probability: Theories and Applications, Durham, United Kingdom, 2009 A tree augmented classifier based on Extreme Imprecise Dirichlet Model
- Reproducing human decisions in reservoir management: the case of lake Lugano
- PM10 forecasting with a local linear approach M. Bianchi, G. Corani*, G. Guariso*
- Fuzzy modelling of basin saturation state and neural networks for flood forecasting
- Artificial neural networks prediction of PM10 in the M. Cecchetti, G. Corani a
- A neural emission-receptor model for ozone reduction S.Barazzetta, G. Corani
- Bayesian estimation vs Imprecise Dirichlet Model From Naive Bayes to Naive Credal Classifier Further classifiers Conclusions Bayesian Networks
- Bayesian Networks with Imprecise Probabilities: Theory and Application to Classification
- Politecnico di Milano Dipartimento di Elettronica ed Informazione
- JNCC2 user manual and tutorial (ver 0.9) Giorgio Corani and Marco Zaffalon
- Lazy Naive Credal Classifier Giorgio Corani
- Journal of Machine Learning Research 9 (2008) 2695-2698 Submitted 5/08; Revised 9/08; Published 12/08 JNCC2: The Java Implementation Of Naive Credal Classifier 2
- Model selection in demographic time series using VC-bounds
- Introducing NCC2 Experimental Results Conclusions Naive Credal Classifier 2: an extension of Naive Bayes
- REINFORCEMENT LEARNING IN THE OPERATIONAL MANAGEMENT OF A WATER
- Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications
- JNCC2 user manual and tutorial (rev 1) Giorgio Corani and Marco Zaffalon
- Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise
- Prediction of ungulates abundance through local linear algorithms
- Journal of Machine Learning Research 9 (2008) 581-621 Submitted 1/07; Revised 2/08; Published 4/08 Learning Reliable Classifiers From Small or Incomplete Data Sets
- Restricting the IDM for classification G. Corani and A. Benavoli
- 7th International Symposium on Imprecise Probability: Theories and Applications, Innsbruck, Austria, 2011 Utility-Based Accuracy Measures to Empirically Evaluate Credal Classifiers
- Bayesian Networks with Imprecise Probabilities: Theory and Application to Classification
