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Iñaki Inza
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Publications
- 2019
- [j40]Jerónimo Hernández-González, Iñaki Inza, Igor Granado, Oihane C. Basurko, Jose A. Fernandes, José Antonio Lozano:
Aggregated outputs by linear models: An application on marine litter beaching prediction. Inf. Sci. 481: 381-393 (2019) - [j39]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators. IEEE Trans. Knowl. Data Eng. 31(1): 195-200 (2019) - 2018
- [j38]Jerónimo Hernández-González, Daniel Rodríguez, Iñaki Inza, Rachel Harrison, José Antonio Lozano:
Learning to classify software defects from crowds: A novel approach. Appl. Soft Comput. 62: 579-591 (2018) - 2017
- [j36]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
Learning from Proportions of Positive and Unlabeled Examples. Int. J. Intell. Syst. 32(2): 109-133 (2017) - 2016
- [j33]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
Weak supervision and other non-standard classification problems: A taxonomy. Pattern Recognit. Lett. 69: 49-55 (2016) - 2015
- [j29]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
Multidimensional Learning from Crowds: Usefulness and Application of Expertise Detection. Int. J. Intell. Syst. 30(3): 326-354 (2015) - [c13]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions. CAEPIA 2015: 3-13 - 2013
- [j25]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
Learning Bayesian network classifiers from label proportions. Pattern Recognit. 46(12): 3425-3440 (2013) - [c12]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
Learning from Crowds in Multi-dimensional Classification Domains. CAEPIA 2013: 352-362 - 2011
- [c10]Jerónimo Hernández-González, Iñaki Inza:
Learning Naive Bayes Models for Multiple-Instance Learning with Label Proportions. CAEPIA 2011: 134-144
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