Giorgio Corani

78 papers A* 4A 4Journal 45Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Intermittent time series forecasting: local vs global models. CoRR Stefano Damato, Nicolò Rubattu, Dario Azzimonti, Giorgio Corani
2025	J	`jnl`	BayesReconPy: A Python package for forecast reconciliation. J. Open Source Softw. Anubhab Biswas, Lorenzo Nespoli, Dario Azzimonti, Lorenzo Zambon, Nicolò Rubattu, Giorgio Corani
2025	J	`jnl`	Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood. CoRR Stefano Damato, Dario Azzimonti, Giorgio Corani
2024	J	`jnl`	Efficient probabilistic reconciliation of forecasts for real-valued and count time series. Stat. Comput. Lorenzo Zambon, Dario Azzimonti, Giorgio Corani
2024	A	`conf`	Probabilistic reconciliation of mixed-type hierarchical time series. UAI Lorenzo Zambon, Dario Azzimonti, Nicolò Rubattu, Giorgio Corani
2023	—	`conf`	Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies. AALTD@ECML/PKDD Nicolò Rubattu, Gabriele Maroni, Giorgio Corani
2022	J	`jnl`	A Bayesian hierarchical score for structure learning from related data sets. Int. J. Approx. Reason. Laura Azzimonti, Giorgio Corani, Marco Scutari
2022	J	`jnl`	Probabilistic reconciliation of forecasts via importance sampling. CoRR Lorenzo Zambon, Dario Azzimonti, Giorgio Corani
2021	—	`conf`	State Space Approximation of Gaussian Processes for Time Series Forecasting. AALTD@ECML/PKDD Alessio Benavoli, Giorgio Corani
2021	—	`conf`	Time Series Forecasting with Gaussian Processes Needs Priors. ECML/PKDD (4) Giorgio Corani, Alessio Benavoli, Marco Zaffalon
2020	J	`jnl`	Automatic Forecasting using Gaussian Processes. CoRR Giorgio Corani, Alessio Benavoli, João P. S. C. Augusto, Marco Zaffalon
2020	J	`jnl`	Correction to: Efficient feature selection using shrinkage estimators. Mach. Learn. Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
2020	—	`conf`	Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule. ECML/PKDD (3) Giorgio Corani, Dario Azzimonti, João P. S. C. Augusto, Marco Zaffalon
2020	A	`conf`	Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. WSDM Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2020	—	`conf`	Structure Learning from Related Data Sets with a Hierarchical Bayesian Score. PGM Laura Azzimonti, Giorgio Corani, Marco Scutari
2020	J	`jnl`	Structure Learning from Related Data Sets with a Hierarchical Bayesian Score. CoRR Laura Azzimonti, Giorgio Corani, Marco Scutari
2019	J	`jnl`	Efficient feature selection using shrinkage estimators. Mach. Learn. Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown
2019	J	`jnl`	Hierarchical estimation of parameters in Bayesian networks. Comput. Stat. Data Anal. Laura Azzimonti, Giorgio Corani, Marco Zaffalon
2019	J	`jnl`	Hybrid heuristic for the optimal design of photovoltaic installations considering mismatch loss effects. Comput. Oper. Res. Matteo Salani, Gianluca Corbellini, Giorgio Corani
2019	J	`jnl`	Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '17). Int. J. Approx. Reason. Alessandro Antonucci, Giorgio Corani, Inés Couso, Sébastien Destercke
2018	J	`jnl`	Approximate structure learning for large Bayesian networks. Mach. Learn. Mauro Scanagatta, Giorgio Corani, Cassio Polpo de Campos, Marco Zaffalon
2018	J	`jnl`	Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets. CoRR Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
2018	J	`jnl`	Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets. Int. J. Approx. Reason. Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
2018	J	`jnl`	Entropy-based pruning for learning Bayesian networks using BIC. Artif. Intell. Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2017	J	`jnl`	Entropy-based Pruning for Learning Bayesian Networks using BIC. CoRR Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2017	A*	`conf`	Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables. ICDM Laura Azzimonti, Giorgio Corani, Marco Zaffalon
2017	—	`conf`	Improved Local Search in Bayesian Networks Structure Learning. AMBN Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2017	—	`ed.`	Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10-14 July 2017. ISIPTA Alessandro Antonucci, Giorgio Corani, Inés Couso, Sébastien Destercke
2017	J	`jnl`	Statistical comparison of classifiers through Bayesian hierarchical modelling. Mach. Learn. Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon
2017	J	`jnl`	The multilabel naive credal classifier. Int. J. Approx. Reason. Alessandro Antonucci, Giorgio Corani
2017	J	`jnl`	Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis. J. Mach. Learn. Res. Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon
2016	J	`jnl`	Air pollution prediction via multi-label classification. Environ. Model. Softw. Giorgio Corani, Mauro Scanagatta
2016	J	`jnl`	Learning Bounded Treewidth Bayesian Networks with Thousands of Variables. CoRR Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon
2016	—	`conf`	Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. NIPS Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon
2016	J	`jnl`	Learning extended tree augmented naive structures. Int. J. Approx. Reason. Cassio P. de Campos, Giorgio Corani, Mauro Scanagatta, Marco Cuccu, Marco Zaffalon
2016	—	`ed.`	Probabilistic Graphical Models - Eighth International Conference, PGM 2016, Lugano, Switzerland, September 6-9, 2016. Proceedings Probabilistic Graphical Models Alessandro Antonucci, Giorgio Corani, Cassio Polpo de Campos
2016	J	`jnl`	Should We Really Use Post-Hoc Tests Based on Mean-Ranks? J. Mach. Learn. Res. Alessio Benavoli, Giorgio Corani, Francesca Mangili
2016	J	`jnl`	Statistical comparison of classifiers through Bayesian hierarchical modelling. CoRR Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon
2016	J	`jnl`	Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. CoRR Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon
2015	J	`jnl`	A Bayesian approach for comparing cross-validated algorithms on multiple data sets. Mach. Learn. Giorgio Corani, Alessio Benavoli
2015	A*	`conf`	A Bayesian nonparametric procedure for comparing algorithms. ICML Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon
2015	—	`conf`	Bayesian Hypothesis Testing in Machine Learning. ECML/PKDD (3) Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon
2015	J	`jnl`	Credal model averaging for classification: representing prior ignorance and expert opinions. Int. J. Approx. Reason. Giorgio Corani, Andrea Mignatti
2015	—	`conf`	Learning Bayesian Networks with Thousands of Variables. NIPS Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon
2015	J	`jnl`	Should we really use post-hoc tests based on mean-ranks? CoRR Alessio Benavoli, Giorgio Corani, Francesca Mangili
2014	A*	`conf`	A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. ICML Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri
2014	J	`jnl`	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. Marco Zaffalon, Giorgio Corani
2014	J	`jnl`	Credal Model Averaging for classification: representing prior ignorance and expert opinions. CoRR Giorgio Corani, Andrea Mignatti
2014	J	`jnl`	Credal ensembles of classifiers. Comput. Stat. Data Anal. Giorgio Corani, Alessandro Antonucci
2014	—	`conf`	Extended Tree Augmented Naive Classifier. Probabilistic Graphical Models Cassio P. de Campos, Marco Cuccu, Giorgio Corani, Marco Zaffalon
2014	—	`conf`	Trading off Speed and Accuracy in Multilabel Classification. Probabilistic Graphical Models Giorgio Corani, Alessandro Antonucci, Denis Deratani Mauá, Sandra Gabaglio
2013	J	`jnl`	A Bayesian network model for predicting pregnancy after in vitro fertilization. Comput. Biol. Medicine Giorgio Corani, Cristina Magli, Alessandro Giusti, Luca Gianaroli, Luca Maria Gambardella
2013	A*	`conf`	An Ensemble of Bayesian Networks for Multilabel Classification. IJCAI Alessandro Antonucci, Giorgio Corani, Denis Deratani Mauá, Sandra Gabaglio
2012	A	`conf`	Compression-based AODE Classifiers. ECAI Giorgio Corani, Alessandro Antonucci, Rocco De Rosa
2012	J	`jnl`	Credal Classification based on AODE and compression coefficients CoRR Giorgio Corani, Alessandro Antonucci
2012	J	`jnl`	Evaluating credal classifiers by utility-discounted predictive accuracy. Int. J. Approx. Reason. Marco Zaffalon, Giorgio Corani, Denis Deratani Mauá
2012	—	`conf`	Likelihood-Based Robust Classification with Bayesian Networks. IPMU (3) Alessandro Antonucci, Marco E. G. V. Cattaneo, Giorgio Corani
2011	J	`jnl`	Artificial Defocus for Displaying Markers in Microscopy Z-Stacks. IEEE Trans. Vis. Comput. Graph. Alessandro Giusti, Pierluigi Taddei, Giorgio Corani, Luca Maria Gambardella, Cristina Magli, Luca Gianaroli
2011	J	`jnl`	Improving parameter learning of Bayesian nets from incomplete data CoRR Giorgio Corani, Cassio P. de Campos
2010	—	`conf`	3D Localization of Pronuclei of Human Zygotes Using Textures from Multiple Focal Planes. MICCAI (2) Alessandro Giusti, Giorgio Corani, Luca Maria Gambardella, Cristina Magli, Luca Gianaroli
2010	J	`jnl`	A tree augmented classifier based on Extreme Imprecise Dirichlet Model. Int. J. Approx. Reason. Giorgio Corani, Cassio P. de Campos
2010	—	`conf`	Blastomere segmentation and 3D morphology measurements of early embryos from hoffman modulation contrast image stacks. ISBI Alessandro Giusti, Giorgio Corani, Luca Maria Gambardella, Cristina Magli, Luca Gianaroli
2010	—	`conf`	Restricting the IDM for Classification. IPMU (1) Giorgio Corani, Alessio Benavoli
2010	A	`conf`	Robust Texture Recognition Using Credal Classifiers. BMVC Giorgio Corani, Alessandro Giusti, Davide Migliore, Jürgen Schmidhuber
2010	—	`conf`	Simultaneous Focusing and Contouring of Human Zygotes for in Vitro Fertilization. BIOSIGNALS Alessandro Giusti, Giorgio Corani, Luca Maria Gambardella, Cristina Magli, Luca Gianaroli
2009	—	`conf`	Lazy naive credal classifier. KDD Workshop on Knowledge Discovery from Uncertain Data Giorgio Corani, Marco Zaffalon
2009	—	`conf`	Lighting-Aware Segmentation of Microscopy Images for In Vitro Fertilization. ISVC (1) Alessandro Giusti, Giorgio Corani, Luca Maria Gambardella, Cristina Magli, Luca Gianaroli
2009	—	`conf`	Reproducing human decisions in reservoir management: the case of lake Lugano. ITEE Giorgio Corani, Andrea Emilio Rizzoli, A. Salvetti, Marco Zaffalon
2008	—	`conf`	Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities. ECML/PKDD (1) Giorgio Corani, Marco Zaffalon
2008	J	`jnl`	JNCC2: An extension of naive Bayes classifier suited for small and incomplete data sets. Environ. Model. Softw. Giorgio Corani, Marco Zaffalon
2008	J	`jnl`	Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2. J. Mach. Learn. Res. Giorgio Corani, Marco Zaffalon
2008	—	`conf`	Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications. DMIN Giorgio Corani, Marco Zaffalon
2006	—	`conf`	Classification of Dementia Types from Cognitive Profiles Data. PKDD Giorgio Corani, Chris Edgar, Isabelle Marshall, Keith Wesnes, Marco Zaffalon
2006	J	`jnl`	Prediction of ungulates abundance through local linear algorithms. Environ. Model. Softw. Mauro Bianchi, Giorgio Corani, Giorgio Guariso, Ciro Pinto
2006	J	`jnl`	VC-dimension and structural risk minimization for the analysis of nonlinear ecological models. Appl. Math. Comput. Giorgio Corani, Marino Gatto
2005	J	`jnl`	An application of pruning in the design of neural networks for real time flood forecasting. Neural Comput. Appl. Giorgio Corani, Giorgio Guariso
2005	J	`jnl`	Coupling fuzzy modeling and neural networks for river flood prediction. IEEE Trans. Syst. Man Cybern. Part C Giorgio Corani, Giorgio Guariso
2005	—	`—`	Environmental modelling via learning-from-data techniques. Giorgio Corani