Antonio Bahamonde

Int. J. Intell. Syst., 2021

2020

Fast Distributed <i>k</i>NN Graph Construction Using Auto-tuned Locality-sensitive Hashing.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2020

Improving recommender systems by encoding items and user profiles considering the order in their consumption history.

[BibT_eX]

[DOI]

Prog. Artif. Intell., 2020

Towards explainable personalized recommendations by learning from users' photos.

[BibT_eX]

[DOI]

Inf. Sci., 2020

2019

Optimizing novelty and diversity in recommendations.

[BibT_eX]

[DOI]

David Martínez-Rego

Prog. Artif. Intell., 2019

Large scale anomaly detection in mixed numerical and categorical input spaces.

[BibT_eX]

[DOI]

Carlos Eiras-Franco

David Martínez-Rego

Inf. Sci., 2019

A scalable decision-tree-based method to explain interactions in dyadic data.

[BibT_eX]

[DOI]

Carlos Eiras-Franco

Decis. Support Syst., 2019

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.

[BibT_eX]

[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

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

[BibT_eX]

[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.

[BibT_eX]

[DOI]

Inf. Sci., 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

Improved estimation of bovine weight trajectories using Support Vector Machine Classification.

[BibT_eX]

[DOI]

Jaime Alonso

Alfonso Villa

Comput. Electron. Agric., 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

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

[BibT_eX]

[DOI]

Inf. Sci., 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

A semi-dependent decomposition approach to learn hierarchical classifiers.

[BibT_eX]

[DOI]

Juan José del Coz

Pattern Recognit., 2010

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

[BibT_eX]

[DOI]

J. Comput. Biol., 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

Learning Nondeterministic Classifiers.

[BibT_eX]

[DOI]

Juan José del Coz

J. Mach. Learn. Res., 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

Editorial.

[BibT_eX]

[DOI]

Inteligencia Artif., 2009

Soft Margin Trees.

[BibT_eX]

[DOI]

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

Prediction and Inheritance of Phenotypes.

[BibT_eX]

[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.

[BibT_eX]

[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

Alejandro Hernández-Arauzo

Proceedings of the IJCAI 2007, 2007

Ranking Attributes Using Learning of Preferences by Means of SVM.

[BibT_eX]

[DOI]

Miguel García-Torres

Proceedings of the Current Topics in Artificial Intelligence, 2007

2006

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

[BibT_eX]

[DOI]

Demetrios Zygoyiannis

Proceedings of the Advances in Data Mining, 2006

2005

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

[BibT_eX]

[DOI]

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

2004

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

[BibT_eX]

[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.

[BibT_eX]

[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.

[BibT_eX]

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

2003

Inflating examples to obtain rules.

[BibT_eX]

[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

Choosing among Algorithms to Improve Accuracy.

[BibT_eX]

[DOI]

Elías F. Combarro

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

2002

F <sub>AN</sub>: Finding Accurate iNductions.

[BibT_eX]

[DOI]

José Ranilla

Int. J. Hum. Comput. Stud., 2002

Resumen CAEPIA-TTIA-2002.

[BibT_eX]

[DOI]

Ramón P. Otero

Inteligencia Artif., 2002

Learning to Assess from Pair-Wise Comparisons.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2002

2000

Resumen de CAEPIA99 / TTIA99.

[BibT_eX]

[DOI]

Inteligencia Artif., 2000

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

[BibT_eX]

[DOI]

Inteligencia Artif., 2000

Un sistema inteligente para calificar morfológicamente a bovinos de la raza Asturiana de los Valles.

[BibT_eX]

[DOI]

Inteligencia Artif., 2000

1999

Autonomous Clustering for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Foundations and Tools for Neural Modeling, 1999

Self-Organizing Cases to Find Paradigms.

[BibT_eX]

[DOI]

Proceedings of the Foundations and Tools for Neural Modeling, 1999

1998

Machine Learning Usefulness Relies on Accuracy and Self-Maintenance.

[BibT_eX]

[DOI]

Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998

1997

El Nivel de Impureza de una regla de clasificación aprendida a partir de ejemplos.

[BibT_eX]

[DOI]

José Ranilla

Ricardo Mones

Inteligencia Artif., 1997

Artificial Neural Networks for the Computation of Traffic Queues.

[BibT_eX]

[DOI]

Pedro Hernández-Arauzo

Secundino López-García

Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Self-Organizing Symbolic Learned Rules.

[BibT_eX]

[DOI]

Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1995

The Best Nondeterministic Representations of Finite Orderings.

[BibT_eX]

[DOI]

Camino R. Vela

J. Comput. Syst. Sci., 1995

SHAPE: a machine learning system from examples.

[BibT_eX]

[DOI]

Francisco Botana

Int. J. Hum. Comput. Stud., 1995

1992

An algorithm to minimize representations of finite order relations.

[BibT_eX]

[DOI]

Camino R. Vela

Int. J. Comput. Math., 1992

1985

Cost Functors and Optimal Realization.

[BibT_eX]

[DOI]