Giorgio Corani

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 39

Top Topics

Bayesian Networks

Bounded Treewidth

Structure Learning

Gaussian Processes

Top Venues

Int. J. Approx. Reason.

Publications

Lorenzo Zambon, Dario Azzimonti, Giorgio Corani
Efficient probabilistic reconciliation of forecasts for real-valued and count time series. Stat. Comput. 34 (1) (2024)
Nicolò Rubattu, Gabriele Maroni, Giorgio Corani
Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies. AALTD@ECML/PKDD (2023)
Lorenzo Zambon, Dario Azzimonti, Giorgio Corani
Probabilistic reconciliation of forecasts via importance sampling. CoRR (2022)
Laura Azzimonti, Giorgio Corani, Marco Scutari
A Bayesian hierarchical score for structure learning from related data sets. Int. J. Approx. Reason. 142 (2022)
Giorgio Corani, Alessio Benavoli, Marco Zaffalon
Time Series Forecasting with Gaussian Processes Needs Priors. ECML/PKDD (4) (2021)
Alessio Benavoli, Giorgio Corani
State Space Approximation of Gaussian Processes for Time Series Forecasting. AALTD@ECML/PKDD (2021)
Laura Azzimonti, Giorgio Corani, Marco Scutari
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score. PGM (2020)
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
Correction to: Efficient feature selection using shrinkage estimators. Mach. Learn. 109 (8) (2020)
Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. WSDM (2020)
Giorgio Corani, Dario Azzimonti, João P. S. C. Augusto, Marco Zaffalon
Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule. ECML/PKDD (3) (2020)
Laura Azzimonti, Giorgio Corani, Marco Scutari
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score. CoRR (2020)
Giorgio Corani, Alessio Benavoli, João P. S. C. Augusto, Marco Zaffalon
Automatic Forecasting using Gaussian Processes. CoRR (2020)
Laura Azzimonti, Giorgio Corani, Marco Zaffalon
Hierarchical estimation of parameters in Bayesian networks. Comput. Stat. Data Anal. 137 (2019)
Matteo Salani, Gianluca Corbellini, Giorgio Corani
Hybrid heuristic for the optimal design of photovoltaic installations considering mismatch loss effects. Comput. Oper. Res. 108 (2019)
Alessandro Antonucci, Giorgio Corani, Inés Couso, Sébastien Destercke
Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '17). Int. J. Approx. Reason. 111 (2019)
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
Efficient feature selection using shrinkage estimators. Mach. Learn. 108 (8-9) (2019)
Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets. Int. J. Approx. Reason. 95 (2018)
Mauro Scanagatta, Giorgio Corani, Cassio Polpo de Campos, Marco Zaffalon
Approximate structure learning for large Bayesian networks. Mach. Learn. 107 (8-10) (2018)
Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets. CoRR (2018)
Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
Entropy-based pruning for learning Bayesian networks using BIC. Artif. Intell. 260 (2018)
Alessandro Antonucci, Giorgio Corani
The multilabel naive credal classifier. Int. J. Approx. Reason. 83 (2017)
Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon
Statistical comparison of classifiers through Bayesian hierarchical modelling. Mach. Learn. 106 (11) (2017)
Laura Azzimonti, Giorgio Corani, Marco Zaffalon
Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables. ICDM (2017)
Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon
Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis. J. Mach. Learn. Res. 18 (2017)
Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
Improved Local Search in Bayesian Networks Structure Learning. AMBN (2017)
Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
Entropy-based Pruning for Learning Bayesian Networks using BIC. CoRR (2017)
Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon
Learning Bounded Treewidth Bayesian Networks with Thousands of Variables. CoRR (2016)
Giorgio Corani, Mauro Scanagatta
Air pollution prediction via multi-label classification. Environ. Model. Softw. 80 (2016)
Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. NIPS (2016)
Cassio P. de Campos, Giorgio Corani, Mauro Scanagatta, Marco Cuccu, Marco Zaffalon
Learning extended tree augmented naive structures. Int. J. Approx. Reason. 68 (2016)
Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. CoRR (2016)
Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon
Statistical comparison of classifiers through Bayesian hierarchical modelling. CoRR (2016)
Alessio Benavoli, Giorgio Corani, Francesca Mangili
Should We Really Use Post-Hoc Tests Based on Mean-Ranks? J. Mach. Learn. Res. 17 (2016)
Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon
Learning Bayesian Networks with Thousands of Variables. NIPS (2015)
Giorgio Corani, Andrea Mignatti
Credal model averaging for classification: representing prior ignorance and expert opinions. Int. J. Approx. Reason. 56 (2015)
Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon
Bayesian Hypothesis Testing in Machine Learning. ECML/PKDD (3) (2015)
Giorgio Corani, Alessio Benavoli
A Bayesian approach for comparing cross-validated algorithms on multiple data sets. Mach. Learn. 100 (2-3) (2015)
Alessio Benavoli, Giorgio Corani, Francesca Mangili
Should we really use post-hoc tests based on mean-ranks? CoRR (2015)
Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon
A Bayesian nonparametric procedure for comparing algorithms. ICML (2015)
Cassio P. de Campos, Marco Cuccu, Giorgio Corani, Marco Zaffalon
Extended Tree Augmented Naive Classifier. Probabilistic Graphical Models (2014)
Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. ICML (2014)
Giorgio Corani, Andrea Mignatti
Credal Model Averaging for classification: representing prior ignorance and expert opinions. CoRR (2014)
Giorgio Corani, Alessandro Antonucci
Credal ensembles of classifiers. Comput. Stat. Data Anal. 71 (2014)
Marco Zaffalon, Giorgio Corani
Comments on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks" by Andrés R. Masegosa and Serafín Moral. Int. J. Approx. Reason. 55 (7) (2014)
Giorgio Corani, Alessandro Antonucci, Denis Deratani Mauá, Sandra Gabaglio
Trading off Speed and Accuracy in Multilabel Classification. Probabilistic Graphical Models (2014)
Giorgio Corani, Cristina Magli, Alessandro Giusti, Luca Gianaroli, Luca Maria Gambardella
A Bayesian network model for predicting pregnancy after in vitro fertilization. Comput. Biol. Medicine 43 (11) (2013)
Alessandro Antonucci, Giorgio Corani, Denis Deratani Mauá, Sandra Gabaglio
An Ensemble of Bayesian Networks for Multilabel Classification. IJCAI (2013)
Giorgio Corani, Alessandro Antonucci
Credal Classification based on AODE and compression coefficients CoRR (2012)
Marco Zaffalon, Giorgio Corani, Denis Deratani Mauá
Evaluating credal classifiers by utility-discounted predictive accuracy. Int. J. Approx. Reason. 53 (8) (2012)
Giorgio Corani, Alessandro Antonucci, Rocco De Rosa
Compression-based AODE Classifiers. ECAI (2012)
Alessandro Antonucci, Marco E. G. V. Cattaneo, Giorgio Corani
Likelihood-Based Robust Classification with Bayesian Networks. IPMU (3) (2012)
Giorgio Corani, Cassio P. de Campos
Improving parameter learning of Bayesian nets from incomplete data CoRR (2011)
Alessandro Giusti, Pierluigi Taddei, Giorgio Corani, Luca Maria Gambardella, Cristina Magli, Luca Gianaroli
Artificial Defocus for Displaying Markers in Microscopy Z-Stacks. IEEE Trans. Vis. Comput. Graph. 17 (12) (2011)
Giorgio Corani, Alessio Benavoli
Restricting the IDM for Classification. IPMU (1) (2010)
Alessandro Giusti, Giorgio Corani, Luca Maria Gambardella, Cristina Magli, Luca Gianaroli
Blastomere segmentation and 3D morphology measurements of early embryos from hoffman modulation contrast image stacks. ISBI (2010)
Alessandro Giusti, Giorgio Corani, Luca Maria Gambardella, Cristina Magli, Luca Gianaroli
3D Localization of Pronuclei of Human Zygotes Using Textures from Multiple Focal Planes. MICCAI (2) (2010)
Alessandro Giusti, Giorgio Corani, Luca Maria Gambardella, Cristina Magli, Luca Gianaroli
Simultaneous Focusing and Contouring of Human Zygotes for in Vitro Fertilization. BIOSIGNALS (2010)
Giorgio Corani, Alessandro Giusti, Davide Migliore, Jürgen Schmidhuber
Robust Texture Recognition Using Credal Classifiers. BMVC (2010)
Giorgio Corani, Cassio P. de Campos
A tree augmented classifier based on Extreme Imprecise Dirichlet Model. Int. J. Approx. Reason. 51 (9) (2010)
Giorgio Corani, Marco Zaffalon
Lazy naive credal classifier. KDD Workshop on Knowledge Discovery from Uncertain Data (2009)
Alessandro Giusti, Giorgio Corani, Luca Maria Gambardella, Cristina Magli, Luca Gianaroli
Lighting-Aware Segmentation of Microscopy Images for In Vitro Fertilization. ISVC (1) (2009)
Giorgio Corani, Andrea Emilio Rizzoli, A. Salvetti, Marco Zaffalon
Reproducing human decisions in reservoir management: the case of lake Lugano. ITEE (2009)
Giorgio Corani, Marco Zaffalon
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2. J. Mach. Learn. Res. 9 (2008)
Giorgio Corani, Marco Zaffalon
Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications. DMIN (2008)
Giorgio Corani, Marco Zaffalon
Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities. ECML/PKDD (1) (2008)
Giorgio Corani, Marco Zaffalon
JNCC2: An extension of naive Bayes classifier suited for small and incomplete data sets. Environ. Model. Softw. 23 (7) (2008)
Mauro Bianchi, Giorgio Corani, Giorgio Guariso, Ciro Pinto
Prediction of ungulates abundance through local linear algorithms. Environ. Model. Softw. 21 (10) (2006)
Giorgio Corani, Marino Gatto
VC-dimension and structural risk minimization for the analysis of nonlinear ecological models. Appl. Math. Comput. 176 (1) (2006)
Giorgio Corani, Chris Edgar, Isabelle Marshall, Keith Wesnes, Marco Zaffalon
Classification of Dementia Types from Cognitive Profiles Data. PKDD (2006)
Giorgio Corani, Giorgio Guariso
An application of pruning in the design of neural networks for real time flood forecasting. Neural Comput. Appl. 14 (1) (2005)
Giorgio Corani, Giorgio Guariso
Coupling fuzzy modeling and neural networks for river flood prediction. IEEE Trans. Syst. Man Cybern. Part C 35 (3) (2005)