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Learning to classify software defects from crowds: a novel approach 

Hernández-González, J.; Rodríguez, D.; Inza, I.; Rachel, H.; Lozano, J.A.Autoridad BCAM (2017-11-01)
In software engineering, associating each reported defect with a cate- gory allows, among many other things, for the appropriate allocation of resources. Although this classification task can be automated using stan- dard ...
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A system for airport weather forecasting based on circular regression trees 

Rozas-Larrondo, P.; Inza, I.; Lozano, J.A.Autoridad BCAM (2017-11-01)
This paper describes a suite of tools and a model for improving the accuracy of airport weather forecasts produced by numerical weather prediction (NWP) products, by learning from the relationships between previously ...
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Measuring the Class-imbalance Extent of Multi-class Problems 

Ortigosa-Hernández, J.; Inza, I.; Lozano, J.A.Autoridad BCAM (2017-07-30)
Since many important real-world classification problems involve learning from unbalanced data, the challenging class-imbalance problem has lately received con- siderable attention in the community. Most of the methodological ...

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Inza, I. (3)
Lozano, J.A. (3)Hernández-González, J. (1)Ortigosa-Hernández, J. (1)Rachel, H. (1)Rodríguez, D. (1)Rozas-Larrondo, P. (1)SubjectBayesian network classifiers (1)Circular Variables (1)Learning from crowds (1)Machine Learning (1)Meteorology (1)Missing ground truth (1)Orthogonal defect classification (1)Regression Trees (1)Weather Forecasting (1)... másFecha
2017 (3)

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