Giorgio Corani
Orcid: 0000-0002-1541-8384Affiliations:
- University of Applied Sciences and Arts of Southern Switzerland, Switzerland
According to our database1,
Giorgio Corani
authored at least 65 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on idsia.ch
On csauthors.net:
Bibliography
2024
Efficient probabilistic reconciliation of forecasts for real-valued and count time series.
Stat. Comput., February, 2024
2023
Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
2022
Int. J. Approx. Reason., 2022
2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021
2020
Mach. Learn., 2020
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
2019
Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '17).
Int. J. Approx. Reason., 2019
Comput. Stat. Data Anal., 2019
Hybrid heuristic for the optimal design of photovoltaic installations considering mismatch loss effects.
Comput. Oper. Res., 2019
2018
Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets.
Int. J. Approx. Reason., 2018
2017
Mach. Learn., 2017
Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis.
J. Mach. Learn. Res., 2017
Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017
2016
Environ. Model. Softw., 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
Mach. Learn., 2015
Credal model averaging for classification: representing prior ignorance and expert opinions.
Int. J. Approx. Reason., 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
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., 2014
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Comput. Biol. Medicine, 2013
Proceedings of the IJCAI 2013, 2013
2012
Int. J. Approx. Reason., 2012
Proceedings of the Advances in Computational Intelligence, 2012
2011
IEEE Trans. Vis. Comput. Graph., 2011
2010
Int. J. Approx. Reason., 2010
3D Localization of Pronuclei of Human Zygotes Using Textures from Multiple Focal Planes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Blastomere segmentation and 3D morphology measurements of early embryos from hoffman modulation contrast image stacks.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010
Proceedings of the British Machine Vision Conference, 2010
Simultaneous Focusing and Contouring of Human Zygotes for in Vitro Fertilization.
Proceedings of the BIOSIGNALS 2010, 2010
2009
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009
Proceedings of the Information Technologies in Environmental Engineering, 2009
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009
2008
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2.
J. Mach. Learn. Res., 2008
JNCC2: An extension of naive Bayes classifier suited for small and incomplete data sets.
Environ. Model. Softw., 2008
Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications.
Proceedings of The 2008 International Conference on Data Mining, 2008
2006
Environ. Model. Softw., 2006
VC-dimension and structural risk minimization for the analysis of nonlinear ecological models.
Appl. Math. Comput., 2006
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
2005
IEEE Trans. Syst. Man Cybern. Part C, 2005
An application of pruning in the design of neural networks for real time flood forecasting.
Neural Comput. Appl., 2005