Oscar Luaces

David Martínez-Rego

Prog. Artif. Intell., 2019

2018

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

[BibT_eX]

[DOI]

Neural Process. Lett., 2018

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

[BibT_eX]

[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

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

[BibT_eX]

[DOI]

Alicia Troncoso

Knowl. Based Syst., 2017

Deep learning to frame objects for visual target tracking.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2017

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

[BibT_eX]

[DOI]

Verónica Bolón-Canedo

Enrique J. deAndrés-Galiana

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

2016

Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems.

[BibT_eX]

[DOI]

Juan Luis Fernández Martínez

Ana P. González-Rodríguez

Juan José del Coz

Leticia Huergo-Zapico

Andrea Acebes-Huerta

Segundo González

J. Biomed. Informatics, 2016

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

[BibT_eX]

[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

Optimizing different loss functions in multilabel classifications.

[BibT_eX]

[DOI]

Prog. Artif. Intell., 2015

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

[BibT_eX]

[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.

[BibT_eX]

[DOI]

Alicia Troncoso Lora

Knowl. Based Syst., 2015

Mapping preferences into Euclidean space.

[BibT_eX]

[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

2014

Interval prediction for graded multi-label classification.

[BibT_eX]

[DOI]

Gerardo Lastra

José Antonio Sánchez del Rivero

Pattern Recognit. Lett., 2014

2013

Feature selection for classification of animal feed ingredients from near infrared microscopy spectra.

[BibT_eX]

[DOI]

Elena Montañés-Roces

Begoña de la Roza-Delgado

Inf. Sci., 2013

2012

Disease Liability Prediction from Large Scale Genotyping Data Using Classifiers with a Reject Option.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Multilabel classifiers with a probabilistic thresholding strategy.

[BibT_eX]

[DOI]

Pattern Recognit., 2012

Binary relevance efficacy for multilabel classification.

[BibT_eX]

[DOI]

Prog. Artif. Intell., 2012

2011

Using nondeterministic learners to alert on coffee rust disease.

[BibT_eX]

[DOI]

Luiz Henrique A. Rodrigues

Carlos Alberto Alves Meira

Expert Syst. Appl., 2011

Graphical Feature Selection for Multilabel Classification Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

2010

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

[BibT_eX]

[DOI]

J. Comput. Biol., 2010

Adapting Decision DAGs for Multipartite Ranking.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Viability of an Alarm Predictor for Coffee Rust Disease Using Interval Regression.

[BibT_eX]

[DOI]

Luiz Henrique A. Rodrigues

Carlos Alberto Alves Meira

Proceedings of the Trends in Applied Intelligent Systems, 2010

2009

Predicting the probability of survival in intensive care unit patients from a small number of variables and training examples.

[BibT_eX]

[DOI]

Francisco Taboada

Guillermo M. Albaiceta

Luis A. Domínguez

Pedro Enríquez

Artif. Intell. Medicine, 2009

Soft Margin Trees.

[BibT_eX]

[DOI]

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

Prediction and Inheritance of Phenotypes.

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[DOI]

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.

[BibT_eX]

[DOI]

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

2007

A simple and efficient method for variable ranking according to their usefulness for learning.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2007

Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area under the ROC Curve.

[BibT_eX]

[DOI]

Francisco Taboada

Guillermo M. Albaiceta

Proceedings of the IJCAI 2007, 2007

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.

[BibT_eX]

[DOI]

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

2003

Inflating examples to obtain rules.

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[DOI]

Int. J. Intell. Syst., 2003

A heuristic for learning decision trees and pruning them into classification rules.

[BibT_eX]

[DOI]

José Ranilla

AI Commun., 2003

2002

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

[BibT_eX]

[DOI]

Jorge Díez Peláez

José Ranilla

Inteligencia Artif., 2002

Learning to Assess from Pair-Wise Comparisons.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2002

2000

Aprendizaje de la Similitud entre Casos con Valores Discretos y Numericos (Premio Accésit Jose Cuena).

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[DOI]