Giorgio Corani

发表

Coupling fuzzy modeling and neural networks for river flood prediction

Giorgio Guariso, Giorgio Corani, Giorgio Corani, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Utility-Based Accuracy Measures to Empirically Evaluate Credal Classifiers

Marco Zaffalon, Giorgio Corani, 2011 .

Likelihood-Based Naive Credal Classifier

Giorgio Corani, Alessandro Antonucci, M. Cattaneo, 2011 .

Model selection in demographic time series using VC-bounds

Giorgio Corani, M. Gatto, 2006 .

Impact on place of death in cancer patients: a causal exploration in southern Switzerland

Marco Zaffalon, Giorgio Corani, Nicola Vermes, 2020, BMC Palliative Care.

Impact on place of death in cancer patients: a causal exploration in southern Switzerland

Marco Zaffalon, Giorgio Corani, Nicola Vermes, 2020, BMC Palliative Care.

Bayesian Networks with Imprecise Probabilities: Theory and Application to Classification

Marco Zaffalon, Giorgio Corani, Alessandro Antonucci, 2012 .

Segmentation of Human Zygotes in Hoffman Modulation Contrast Images

Luca Maria Gambardella, Alessandro Giusti, Giorgio Corani, 2009 .

Localization of Pronuclei of Human Zygotes using Texture Features from Multiple Focal Planes

Alessandro Giusti, Giorgio Corani, Cristina Magli, 2010 .

Robust Bayesian model averaging for the analysis of presence–absence data

Giorgio Corani, Giorgio Corani, A. Mignatti, 2015, Environmental and Ecological Statistics.

Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule

Marco Zaffalon, Giorgio Corani, Dario Azzimonti, 2020, ECML/PKDD.

JNCC 2 : the Java implementation of the Naive Credal Classifier 2

Giorgio Corani, 2007 .

Impact on place of death in cancer patients: a causal exploration in southern Switzerland

Marco Zaffalon, Giorgio Corani, Nicola Vermes, 2020 .

PM 10 forecasting with a local linear approach

Giorgio Corani, G. Guariso, M. Bianchi, 2006 .

Probabilistic Reconciliation of Count Time Series

Giorgio Corani, Alessandro Antonucci, Dario Azzimonti, 2022, 2207.09322.

Probabilistic reconciliation of forecasts via importance sampling

Giorgio Corani, Dario Azzimonti, Lorenzo Zambon, 2022, ArXiv.

Probabilistic Reconciliation of Count Time Series

Giorgio Corani, Alessandro Antonucci, Dario Azzimonti, 2022, 2207.09322.

Efficient probabilistic reconciliation of forecasts for real-valued and count time series

Giorgio Corani, Dario Azzimonti, Lorenzo Zambon, 2022, 2210.02286.

Approximate structure learning for large Bayesian networks

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2018, Machine Learning.

Efficient feature selection using shrinkage estimators

Gavin Brown, Adam Pocock, Laura Azzimonti, 2019, Machine Learning.

A Bayesian hierarchical score for structure learning from related data sets

Laura Azzimonti, Giorgio Corani, Marco Scutari, 2020, Int. J. Approx. Reason..

An Ensemble of Bayesian Networks for Multilabel Classification

Denis Deratani Mauá, Giorgio Corani, Alessandro Antonucci, 2013, IJCAI.

Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2

Marco Zaffalon, Giorgio Corani, Marco Zaffalon, 2008, J. Mach. Learn. Res..

Should We Really Use Post-Hoc Tests Based on Mean-Ranks?

Francesca Mangili, Alessio Benavoli, Giorgio Corani, 2015, J. Mach. Learn. Res..

Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis pdf

Marco Zaffalon, Alessio Benavoli, Janez Demsar, 2016, J. Mach. Learn. Res..

Objective way to support embryo transfer: a probabilistic decision.

A. Giusti, L. Gambardella, Giorgio Corani, 2013, Human reproduction.

Structural risk minimization: a robust method for density-dependence detection and model selection

Giorgio Corani, Marino Gatto, Giorgio Corani, 2007 .

Comments on : “ Model Complexity Control for Regression Using VC Generalization Bounds ” : IEEE TNN , 10 ( 5 )

Giorgio Corani, M. Gatto, 2006 .

Blastomere segmentation and 3D morphology measurements of early embryos from Hoffman Modulation Contrast image stacks

Luca Maria Gambardella, Alessandro Giusti, Giorgio Corani, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Credal ensembles of classifiers

Giorgio Corani, Alessandro Antonucci, Giorgio Corani, 2014, Comput. Stat. Data Anal..

Credal model averaging of logistic regression for modeling the distribution of marmot burrows

Giorgio Corani, Andrea Mignatti, Giorgio Corani, 2013 .

Compression-based AODE Classifiers

Giorgio Corani, Alessandro Antonucci, Rocco De Rosa, 2012, ECAI.

Likelihood-Based Robust Classification with Bayesian Networks

Giorgio Corani, Alessandro Antonucci, Marco E. G. V. Cattaneo, 2012, IPMU.

Credal Classification based on AODE and compression coefficients pdf

Giorgio Corani, Alessandro Antonucci, Giorgio Corani, 2012, ArXiv.

A tree augmented classifier based on Extreme Imprecise Dirichlet Model

Giorgio Corani, Cassio Polpo de Campos, Giorgio Corani, 2010, Int. J. Approx. Reason..

Restricting the IDM for Classification

Alessio Benavoli, Giorgio Corani, Giorgio Corani, 2010, IPMU.

Robust Texture Recognition Using Credal Classifiers

Jürgen Schmidhuber, Alessandro Giusti, Davide Migliore, 2010, BMVC.

Lazy naive credal classifier

Marco Zaffalon, Giorgio Corani, Marco Zaffalon, 2009, U '09.

JNCC2: The Java Implementation Of Naive Credal Classifier 2

Marco Zaffalon, Giorgio Corani, Marco Zaffalon, 2008 .

Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities

Marco Zaffalon, Giorgio Corani, Marco Zaffalon, 2008, ECML/PKDD.

Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies

Giorgio Corani, Gabriele Maroni, Nicolo Rubattu, 2023, 2305.05575.

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process

Marco Zaffalon, Francesca Mangili, Alessio Benavoli, 2014, ICML.

Reinforcement learning in the operational management of a water system

Andrea Castelletti, Andrea Emilio Rizzoli, Enrico Weber, 2002 .

Probabilistic Reconciliation of Count Time Series

Giorgio Corani, Alessandro Antonucci, Dario Azzimonti, 2022, 2207.09322.

Time Series Forecasting with Gaussian Processes Needs Priors

Marco Zaffalon, Giorgio Corani, A. Benavoli, 2020, ECML/PKDD.

A Bayesian approach for comparing cross-validated algorithms on multiple data sets

Alessio Benavoli, Giorgio Corani, Giorgio Corani, 2015, Machine Learning.

A Bayesian network model for predicting pregnancy after in vitro fertilization

Luca Maria Gambardella, Alessandro Giusti, Giorgio Corani, 2013, Comput. Biol. Medicine.

Hierarchical estimation of parameters in Bayesian networks

Marco Zaffalon, Laura Azzimonti, Giorgio Corani, 2019, Comput. Stat. Data Anal..

Trading off Speed and Accuracy in Multilabel Classification

Denis Deratani Mauá, Giorgio Corani, Alessandro Antonucci, 2014, Probabilistic Graphical Models.

Air quality prediction in Milan: feed-forward neural networks, pruned neural networks and lazy learning

Giorgio Corani, Giorgio Corani, 2005 .

Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2016, NIPS.

Statistical comparison of classifiers through Bayesian hierarchical modelling

Marco Zaffalon, Francesca Mangili, Alessio Benavoli, 2016, Machine Learning.

Reproducing human decisions in reservoir management: the case of lake Lugano

Andrea Emilio Rizzoli, Marco Zaffalon, Giorgio Corani, 2009, ITEE.

Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets pdf

Marco Zaffalon, Giorgio Corani, Mauro Scanagatta, 2018, Int. J. Approx. Reason..

A Tutorial on Machine Learning for Failure Management in Optical Networks

Francesco Musumeci, Filippo Cugini, Massimo Tornatore, 2019, Journal of Lightwave Technology.

The multilabel naive credal classifier

Giorgio Corani, Alessandro Antonucci, Giorgio Corani, 2017, Int. J. Approx. Reason..

Using living labs to investigate the transition towards electric mobility: the e-mobiliTI experiment in Southern Switzerland

Andrea Emilio Rizzoli, Claudio Bonesana, Francesca Cellina, 2015 .

Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference

Marco Zaffalon, Giorgio Corani, Mauro Scanagatta, 2020, WSDM.

Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule

Marco Zaffalon, Giorgio Corani, Dario Azzimonti, 2019, ECML/PKDD.

Evaluating credal classifiers by utility-discounted predictive accuracy

Denis Deratani Mauá, Marco Zaffalon, Giorgio Corani, 2012, Int. J. Approx. Reason..

An application of pruning in the design of neural networks for real time flood forecasting

Giorgio Guariso, Giorgio Corani, Giorgio Corani, 2005, Neural Computing & Applications.

Air pollution prediction via multi-label classification

Giorgio Corani, Mauro Scanagatta, Giorgio Corani, 2016, Environ. Model. Softw..

Statistical comparison of classiﬁers through Bayesianhierarchical modelling

Janez Demšar, Marco Zaffalon, Francesca Mangili, 2016 .

Learning Bayesian Networks with Thousands of Variables

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2015, NIPS.

Improved Local Search in Bayesian Networks Structure Learning

Marco Zaffalon, Giorgio Corani, Mauro Scanagatta, 2017, AMBN.

Reconciling Hierarchical Forecasts via Bayes' Rule.

Marco Zaffalon, Giorgio Corani, Dario Azzimonti, 2019 .

State Space Approximation of Gaussian Processes for Time Series Forecasting

Alessio Benavoli, Giorgio Corani, Giorgio Corani, 2021, AALTD@ECML/PKDD.

VC-dimension and structural risk minimization for the analysis of nonlinear ecological models

Giorgio Corani, Marino Gatto, Giorgio Corani, 2006, Appl. Math. Comput..

Investigating mobility styles using smartphones: advantages and limitations according to a field study in Southern Switzerland

Andrea Emilio Rizzoli, Francesca Cellina, Anna Förster, 2014 .

Artificial neural networks prediction of PM10 in the Milan area

M. Cecchetti, G. Corani, G. Guarisoa, 2004 .

Extended Tree Augmented Naive Classifier

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2014, Probabilistic Graphical Models.

Efficient probabilistic reconciliation of forecasts for real-valued and count time series

Giorgio Corani, Dario Azzimonti, Lorenzo Zambon, 2022, Statistics and Computing.

Hybrid heuristic for the optimal design of photovoltaic installations considering mismatch loss effects

Giorgio Corani, Gianluca Corbellini, Matteo Salani, 2019, Comput. Oper. Res..

Entropy-based Pruning for Learning Bayesian Networks using BIC

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2017, Artif. Intell..