Jorge Díez

David Martínez-Rego

Prog. Artif. Intell., 2019

Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices in a Coarse-to-Fine Framework.

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[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Deep Learning and Preference Learning for Object Tracking: A Combined Approach.

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[DOI]

Neural Process. Lett., 2018

A new method to learn growth curves of beef cattle using a factorization approach.

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[DOI]

Comput. Electron. Agric., 2018

A peer assessment method to provide feedback, consistent grading and reduce students' burden in massive teaching settings.

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[DOI]

Comput. Educ., 2018

2017

Why is quantification an interesting learning problem?

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[DOI]

Prog. Artif. Intell., 2017

Content-based methods in peer assessment of open-response questions to grade students as authors and as graders.

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[DOI]

Alicia Troncoso

Knowl. Based Syst., 2017

Deep learning to frame objects for visual target tracking.

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[DOI]

Eng. Appl. Artif. Intell., 2017

Paving the way for providing teaching feedback in automatic evaluation of open response assignments.

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[DOI]

Verónica Bolón-Canedo

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Using tensor products to detect unconditional label dependence in multilabel classifications.

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[DOI]

Inf. Sci., 2016

Combining Deep Learning and Preference Learning for Object Tracking.

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[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Quantification-oriented learning based on reliable classifiers.

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[DOI]

José Barranquero

Pattern Recognit., 2015

Optimizing different loss functions in multilabel classifications.

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[DOI]

Prog. Artif. Intell., 2015

Analysis of nutrition data by means of a matrix factorization method.

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[DOI]

Teresita González de Cossío

Edna Gamboa

Thorsten Joachims

Prog. Artif. Intell., 2015

A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments.

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[DOI]

Alicia Troncoso Lora

Knowl. Based Syst., 2015

Mapping preferences into Euclidean space.

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[DOI]

Expert Syst. Appl., 2015

Including Content-Based Methods in Peer-Assessment of Open-Response Questions.

[BibT_eX]

[DOI]

Alicia Troncoso

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2013

Multiclass Support Vector Machines With Example-Dependent Costs Applied to Plankton Biomass Estimation.

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[DOI]

Rafael Gonzalez-Quiros

Enrique Nogueira

Angel Lopez-Urrutia

IEEE Trans. Neural Networks Learn. Syst., 2013

On the study of nearest neighbor algorithms for prevalence estimation in binary problems.

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[DOI]

Pattern Recognit., 2013

Enhancing directed binary trees for multi-class classification.

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Inf. Sci., 2013

2012

Binary relevance efficacy for multilabel classification.

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[DOI]

Prog. Artif. Intell., 2012

Learning data structure from classes: A case study applied to population genetics.

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[DOI]

Inf. Sci., 2012

2010

A semi-dependent decomposition approach to learn hierarchical classifiers.

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[DOI]

Pattern Recognit., 2010

Explaining the Genetic Basis of Complex Quantitative Traits through Prediction Models.

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J. Comput. Biol., 2010

2009

Learning Nondeterministic Classifiers.

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[DOI]

J. Mach. Learn. Res., 2009

Soft Margin Trees.

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Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Prediction and Inheritance of Phenotypes.

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Proceedings of the Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira.s Scientific Legacy, 2009

2008

Clustering people according to their preference criteria.

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[DOI]

Expert Syst. Appl., 2008

Learning to Predict One or More Ranks in Ordinal Regression Tasks.

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[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2006

Learning the Reasons Why Groups of Consumers Prefer Some Food Products.

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[DOI]

Demetrios Zygoyiannis

Proceedings of the Advances in Data Mining, 2006

2005

A Kernel Based Method for Discovering Market Segments in Beef Meat.

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[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

2004

Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Feature subset selection for learning preferences: a case study.

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[DOI]

Proceedings of the Machine Learning, 2004

Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection.

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Proceedings of the Machine Learning: ECML 2004, 2004

Discovering Relevancies in Very Difficult Regression Problems: Applications to Sensory Data Analysis.

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Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2002

Aplicacion de un proceso de seleccion de reglas a un sistema de aprendizaje.

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[DOI]

Jorge Díez Peláez

José Ranilla