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Giorgio Corani
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- affiliation: University of Applied Sciences and Arts of Southern Switzerland, Switzerland
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2020 – today
- 2024
- [j30]Lorenzo Zambon, Dario Azzimonti, Giorgio Corani:
Efficient probabilistic reconciliation of forecasts for real-valued and count time series. Stat. Comput. 34(1): 21 (2024) - 2023
- [c29]Nicolò Rubattu, Gabriele Maroni, Giorgio Corani:
Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies. AALTD@ECML/PKDD 2023: 276-292 - 2022
- [j29]Laura Azzimonti, Giorgio Corani, Marco Scutari:
A Bayesian hierarchical score for structure learning from related data sets. Int. J. Approx. Reason. 142: 248-265 (2022) - [i12]Lorenzo Zambon, Dario Azzimonti, Giorgio Corani:
Probabilistic reconciliation of forecasts via importance sampling. CoRR abs/2210.02286 (2022) - 2021
- [c28]Alessio Benavoli, Giorgio Corani:
State Space Approximation of Gaussian Processes for Time Series Forecasting. AALTD@ECML/PKDD 2021: 21-35 - [c27]Giorgio Corani, Alessio Benavoli, Marco Zaffalon:
Time Series Forecasting with Gaussian Processes Needs Priors. ECML/PKDD (4) 2021: 103-117 - 2020
- [j28]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): 1565-1567 (2020) - [c26]Laura Azzimonti, Giorgio Corani, Marco Scutari:
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score. PGM 2020: 5-16 - [c25]Giorgio Corani, Dario Azzimonti, João P. S. C. Augusto, Marco Zaffalon:
Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule. ECML/PKDD (3) 2020: 211-226 - [c24]Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. WSDM 2020: 708-716 - [i11]Laura Azzimonti, Giorgio Corani, Marco Scutari:
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score. CoRR abs/2008.01683 (2020) - [i10]Giorgio Corani, Alessio Benavoli, João P. S. C. Augusto, Marco Zaffalon:
Automatic Forecasting using Gaussian Processes. CoRR abs/2009.08102 (2020)
2010 – 2019
- 2019
- [j27]Matteo Salani, Gianluca Corbellini, Giorgio Corani:
Hybrid heuristic for the optimal design of photovoltaic installations considering mismatch loss effects. Comput. Oper. Res. 108: 112-120 (2019) - [j26]Laura Azzimonti, Giorgio Corani, Marco Zaffalon:
Hierarchical estimation of parameters in Bayesian networks. Comput. Stat. Data Anal. 137: 67-91 (2019) - [j25]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: 100-101 (2019) - [j24]Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown:
Efficient feature selection using shrinkage estimators. Mach. Learn. 108(8-9): 1261-1286 (2019) - 2018
- [j23]Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Entropy-based pruning for learning Bayesian networks using BIC. Artif. Intell. 260: 42-50 (2018) - [j22]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: 152-166 (2018) - [j21]Mauro Scanagatta, Giorgio Corani, Cassio Polpo de Campos, Marco Zaffalon:
Approximate structure learning for large Bayesian networks. Mach. Learn. 107(8-10): 1209-1227 (2018) - [i9]Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang:
Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets. CoRR abs/1802.02468 (2018) - 2017
- [j20]Alessandro Antonucci, Giorgio Corani:
The multilabel naive credal classifier. Int. J. Approx. Reason. 83: 320-336 (2017) - [j19]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: 77:1-77:36 (2017) - [j18]Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon:
Statistical comparison of classifiers through Bayesian hierarchical modelling. Mach. Learn. 106(11): 1817-1837 (2017) - [c23]Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Improved Local Search in Bayesian Networks Structure Learning. AMBN 2017: 45-56 - [c22]Laura Azzimonti, Giorgio Corani, Marco Zaffalon:
Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables. ICDM 2017: 739-744 - [e2]Alessandro Antonucci, Giorgio Corani, Inés Couso, Sébastien Destercke:
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10-14 July 2017. Proceedings of Machine Learning Research 62, PMLR 2017 [contents] - [i8]Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Entropy-based Pruning for Learning Bayesian Networks using BIC. CoRR abs/1707.06194 (2017) - 2016
- [j17]Giorgio Corani, Mauro Scanagatta:
Air pollution prediction via multi-label classification. Environ. Model. Softw. 80: 259-264 (2016) - [j16]Cassio P. de Campos, Giorgio Corani, Mauro Scanagatta, Marco Cuccu, Marco Zaffalon:
Learning extended tree augmented naive structures. Int. J. Approx. Reason. 68: 153-163 (2016) - [j15]Alessio Benavoli, Giorgio Corani, Francesca Mangili:
Should We Really Use Post-Hoc Tests Based on Mean-Ranks? J. Mach. Learn. Res. 17: 5:1-5:10 (2016) - [c21]Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon:
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. NIPS 2016: 1462-1470 - [e1]Alessandro Antonucci, Giorgio Corani, Cassio Polpo de Campos:
Probabilistic Graphical Models - Eighth International Conference, PGM 2016, Lugano, Switzerland, September 6-9, 2016. Proceedings. JMLR Workshop and Conference Proceedings 52, JMLR.org 2016 [contents] - [i7]Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon:
Learning Bounded Treewidth Bayesian Networks with Thousands of Variables. CoRR abs/1605.03392 (2016) - [i6]Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon:
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. CoRR abs/1606.04316 (2016) - [i5]Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon:
Statistical comparison of classifiers through Bayesian hierarchical modelling. CoRR abs/1609.08905 (2016) - 2015
- [j14]Giorgio Corani, Andrea Mignatti:
Credal model averaging for classification: representing prior ignorance and expert opinions. Int. J. Approx. Reason. 56: 264-277 (2015) - [j13]Giorgio Corani, Alessio Benavoli:
A Bayesian approach for comparing cross-validated algorithms on multiple data sets. Mach. Learn. 100(2-3): 285-304 (2015) - [c20]Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon:
A Bayesian nonparametric procedure for comparing algorithms. ICML 2015: 1264-1272 - [c19]Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon:
Learning Bayesian Networks with Thousands of Variables. NIPS 2015: 1864-1872 - [c18]Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon:
Bayesian Hypothesis Testing in Machine Learning. ECML/PKDD (3) 2015: 199-202 - [i4]Alessio Benavoli, Giorgio Corani, Francesca Mangili:
Should we really use post-hoc tests based on mean-ranks? CoRR abs/1505.02288 (2015) - 2014
- [j12]Giorgio Corani, Alessandro Antonucci:
Credal ensembles of classifiers. Comput. Stat. Data Anal. 71: 818-831 (2014) - [j11]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): 1597-1600 (2014) - [c17]Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri:
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. ICML 2014: 1026-1034 - [c16]Giorgio Corani, Alessandro Antonucci, Denis Deratani Mauá, Sandra Gabaglio:
Trading off Speed and Accuracy in Multilabel Classification. Probabilistic Graphical Models 2014: 145-159 - [c15]Cassio P. de Campos, Marco Cuccu, Giorgio Corani, Marco Zaffalon:
Extended Tree Augmented Naive Classifier. Probabilistic Graphical Models 2014: 176-189 - [i3]Giorgio Corani, Andrea Mignatti:
Credal Model Averaging for classification: representing prior ignorance and expert opinions. CoRR abs/1405.3559 (2014) - 2013
- [j10]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): 1783-1792 (2013) - [c14]Alessandro Antonucci, Giorgio Corani, Denis Deratani Mauá, Sandra Gabaglio:
An Ensemble of Bayesian Networks for Multilabel Classification. IJCAI 2013: 1220-1225 - 2012
- [j9]Marco Zaffalon, Giorgio Corani, Denis Deratani Mauá:
Evaluating credal classifiers by utility-discounted predictive accuracy. Int. J. Approx. Reason. 53(8): 1282-1301 (2012) - [c13]Giorgio Corani, Alessandro Antonucci, Rocco De Rosa:
Compression-based AODE Classifiers. ECAI 2012: 264-269 - [c12]Alessandro Antonucci, Marco E. G. V. Cattaneo, Giorgio Corani:
Likelihood-Based Robust Classification with Bayesian Networks. IPMU (3) 2012: 491-500 - [i2]Giorgio Corani, Alessandro Antonucci:
Credal Classification based on AODE and compression coefficients. CoRR abs/1203.5716 (2012) - 2011
- [j8]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): 1757-1764 (2011) - [i1]Giorgio Corani, Cassio P. de Campos:
Improving parameter learning of Bayesian nets from incomplete data. CoRR abs/1110.3239 (2011) - 2010
- [j7]Giorgio Corani, Cassio P. de Campos:
A tree augmented classifier based on Extreme Imprecise Dirichlet Model. Int. J. Approx. Reason. 51(9): 1053-1068 (2010) - [c11]Alessandro Giusti, Giorgio Corani, Luca Maria Gambardella, Cristina Magli, Luca Gianaroli:
Simultaneous Focusing and Contouring of Human Zygotes for in Vitro Fertilization. BIOSIGNALS 2010: 151-158 - [c10]Giorgio Corani, Alessandro Giusti, Davide Migliore, Jürgen Schmidhuber:
Robust Texture Recognition Using Credal Classifiers. BMVC 2010: 1-10 - [c9]Giorgio Corani, Alessio Benavoli:
Restricting the IDM for Classification. IPMU (1) 2010: 328-337 - [c8]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: 1261-1264 - [c7]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: 488-495
2000 – 2009
- 2009
- [c6]Alessandro Giusti, Giorgio Corani, Luca Maria Gambardella, Cristina Magli, Luca Gianaroli:
Lighting-Aware Segmentation of Microscopy Images for In Vitro Fertilization. ISVC (1) 2009: 576-585 - [c5]Giorgio Corani, Andrea Emilio Rizzoli, A. Salvetti, Marco Zaffalon:
Reproducing human decisions in reservoir management: the case of lake Lugano. ITEE 2009: 252-263 - [c4]Giorgio Corani, Marco Zaffalon:
Lazy naive credal classifier. KDD Workshop on Knowledge Discovery from Uncertain Data 2009: 30-37 - 2008
- [j6]Giorgio Corani, Marco Zaffalon:
JNCC2: An extension of naive Bayes classifier suited for small and incomplete data sets. Environ. Model. Softw. 23(7): 960-961 (2008) - [j5]Giorgio Corani, Marco Zaffalon:
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2. J. Mach. Learn. Res. 9: 581-621 (2008) - [c3]Giorgio Corani, Marco Zaffalon:
Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications. DMIN 2008: 84-90 - [c2]Giorgio Corani, Marco Zaffalon:
Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities. ECML/PKDD (1) 2008: 257-271 - 2006
- [j4]Giorgio Corani, Marino Gatto:
VC-dimension and structural risk minimization for the analysis of nonlinear ecological models. Appl. Math. Comput. 176(1): 166-176 (2006) - [j3]Mauro Bianchi, Giorgio Corani, Giorgio Guariso, Ciro Pinto:
Prediction of ungulates abundance through local linear algorithms. Environ. Model. Softw. 21(10): 1508-1511 (2006) - [c1]Giorgio Corani, Chris Edgar, Isabelle Marshall, Keith Wesnes, Marco Zaffalon:
Classification of Dementia Types from Cognitive Profiles Data. PKDD 2006: 470-477 - 2005
- [b1]Giorgio Corani:
Environmental modelling via learning-from-data techniques. Polytechnic University of Milan, Italy, 2005 - [j2]Giorgio Corani, Giorgio Guariso:
An application of pruning in the design of neural networks for real time flood forecasting. Neural Comput. Appl. 14(1): 66-77 (2005) - [j1]Giorgio Corani, Giorgio Guariso:
Coupling fuzzy modeling and neural networks for river flood prediction. IEEE Trans. Syst. Man Cybern. Part C 35(3): 382-390 (2005)
Coauthor Index
aka: Cassio Polpo de Campos
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