Kernel density estimation for multiclass quantification. - Moreo, Alejandro; González, Pablo; Coz, Juan José del (Mach. Learn., 2025)

Quantification using permutation-invariant networks based on histograms. - Pérez-Mon, Olaya; Moreo, Alejandro; Coz, Juan José del; González, Pablo (Neural Comput. Appl., 2025)

Quantification via Gaussian Latent Space Representations. - Pérez-Mon, Olaya; Coz, Juan José del; González, Pablo (CoRR, 2025)

QuantificationLib: A Python library for quantification and prevalence estimation. - Castaño, Alberto; Alonso, Jaime; González, Pablo; Pérez, Pablo; Coz, Juan José del (SoftwareX, 2024)

Matching Distributions Algorithms Based on the Earth Mover's Distance for Ordinal Quantification. - Castaño, Alberto; González, Pablo; González, Jaime Alonso; Coz, Juan José del (IEEE Trans. Neural Networks Learn. Syst., 2024)

Kernel Density Estimation for Multiclass Quantification. - Moreo, Alejandro; González, Pablo; Coz, Juan José del (CoRR, 2024)

Quantification using Permutation-Invariant Networks based on Histograms. - Pérez-Mon, Olaya; Moreo, Alejandro; Coz, Juan José del; González, Pablo (CoRR, 2024)

An Equivalence Analysis of Binary Quantification Methods. - Castaño, Alberto; Alonso, Jaime; González, Pablo; Coz, Juan José del (2023)

Report on the 1st International Workshop on Learning to Quantify (LQ 2021). - Coz, Juan José del; González, Pablo; Moreo, Alejandro; Sebastiani, Fabrizio (SIGKDD Explor., 2022)

UniOviedo(Team2) at LeQua 2022: Comparison of traditional quantifiers and a new method based on Energy Distance. - Coz, Juan José del (2022)

Learning to Quantify: Methods and Applications (LQ 2021). - Coz, Juan José del; González, Pablo; Moreo, Alejandro; Sebastiani, Fabrizio (2021)

Histogram-based Deep Neural Network for Quantification. - González, Pablo; Coz, Juan José del (2021)

Improving the ε-approximate algorithm for Probabilistic Classifier Chains. - Fdez-Díaz, Miriam; Fdez-Díaz, Laura; Mena, Deiner; Montañés, Elena; Quevedo, José Ramón; Coz, Juan José del (Knowl. Inf. Syst., 2020)

Dynamic ensemble selection for quantification tasks. - Pérez-Gállego, Pablo; Castaño, Alberto; Quevedo, José Ramón; Coz, Juan José del (Inf. Fusion, 2019)

Rectifying Classifier Chains for Multi-Label Classification. - Senge, Robin; Coz, Juan José del; Hüllermeier, Eyke (CoRR, 2019)

Deep Learning and Preference Learning for Object Tracking: A Combined Approach. - Pang, Shu-Chao; Coz, Juan José del; Yu, Zhezhou; Luaces, Oscar; Díez, Jorge (Neural Process. Lett., 2018)

A Review on Quantification Learning. - González, Pablo; Castaño, Alberto; Chawla, Nitesh V.; Coz, Juan José del (ACM Comput. Surv., 2017)

Deep learning to frame objects for visual target tracking. - Pang, Shu-Chao; Coz, Juan José del; Yu, Zhezhou; Luaces, Oscar; Díez, Jorge (Eng. Appl. Artif. Intell., 2017)

Using ensembles for problems with characterizable changes in data distribution: A case study on quantification. - Pérez-Gállego, Pablo; Quevedo, José Ramón; Coz, Juan José del (Inf. Fusion, 2017)

A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains. - Mena, Deiner; Quevedo, José Ramón; Montañés, Elena; Coz, Juan José del (Knowl. Based Syst., 2017)

A family of admissible heuristics for A* to perform inference in probabilistic classifier chains. - Mena, Deiner; Montañés, Elena; Quevedo, José Ramón; Coz, Juan José del (Mach. Learn., 2017)

Why is quantification an interesting learning problem? - González, Pablo; Díez, Jorge; Chawla, Nitesh V.; Coz, Juan José del (Prog. Artif. Intell., 2017)

Using tensor products to detect unconditional label dependence in multilabel classifications. - Díez, Jorge; Coz, Juan José del; Luaces, Oscar; Bahamonde, Antonio (Inf. Sci., 2016)

Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems. - deAndrés-Galiana, Enrique J.; Martínez, Juan Luis Fernández; Luaces, Oscar; Coz, Juan José del; Huergo-Zapico, Leticia; Acebes-Huerta, Andrea; González, Segundo; González-Rodríguez, Ana P. (J. Biomed. Informatics, 2016)

An overview of inference methods in probabilistic classifier chains for multilabel classification. - Mena, Deiner; Montañés, Elena; Quevedo, José Ramón; Coz, Juan José del (WIREs Data Mining Knowl. Discov., 2016)

Combining Deep Learning and Preference Learning for Object Tracking. - Pang, Shu-Chao; Coz, Juan José del; Yu, Zhezhou; Luaces, Oscar; Díez, Jorge (2016)

Optimizing different loss functions in multilabel classifications. - Díez, Jorge; Luaces, Oscar; Coz, Juan José del; Bahamonde, Antonio (Prog. Artif. Intell., 2015)

Quantification-oriented learning based on reliable classifiers. - Barranquero, José; Díez, Jorge; Coz, Juan José del (Pattern Recognit., 2015)

Using A* for Inference in Probabilistic Classifier Chains. - Mena, Deiner; Montañés, Elena; Quevedo, José Ramón; Coz, Juan José del (2015)

Dependent binary relevance models for multi-label classification. - Montañés, Elena; Senge, Robin; Barranquero, José; Quevedo, José Ramón; Coz, Juan José del; Hüllermeier, Eyke (Pattern Recognit., 2014)

Enhancing directed binary trees for multi-class classification. - Montañés, Elena; Barranquero, José; Díez, Jorge; Coz, Juan José del (Inf. Sci., 2013)

On the study of nearest neighbor algorithms for prevalence estimation in binary problems. - Barranquero, José; González, Pablo; Díez, Jorge; Coz, Juan José del (Pattern Recognit., 2013)

Multiclass Support Vector Machines With Example-Dependent Costs Applied to Plankton Biomass Estimation. - González, Pablo; Alvarez, Eva; Barranquero, José; Díez, Jorge; Gonzalez-Quiros, Rafael; Nogueira, Enrique; Lopez-Urrutia, Angel; Coz, Juan José del (IEEE Trans. Neural Networks Learn. Syst., 2013)

Rectifying Classifier Chains for Multi-Label Classification. - Senge, Robin; Coz, Juan José del; Hüllermeier, Eyke (2013)

Learning data structure from classes: A case study applied to population genetics. - Coz, Juan José del; Díez, Jorge; Bahamonde, Antonio; Goyache, Félix (Inf. Sci., 2012)

Binary relevance efficacy for multilabel classification. - Luaces, Oscar; Díez, Jorge; Barranquero, José; Coz, Juan José del; Bahamonde, Antonio (Prog. Artif. Intell., 2012)

On the Problem of Error Propagation in Classifier Chains for Multi-label Classification. - Senge, Robin; Coz, Juan José del; Hüllermeier, Eyke (2012)

Aggregating Independent and Dependent Models to Learn Multi-label Classifiers. - Montañés, Elena; Quevedo, José Ramón; Coz, Juan José del (2011)

Explaining the Genetic Basis of Complex Quantitative Traits through Prediction Models. - Luaces, Oscar; Quevedo, José Ramón; Pérez-Enciso, Miguel; Díez, Jorge; Coz, Juan José del; Bahamonde, Antonio (J. Comput. Biol., 2010)

A semi-dependent decomposition approach to learn hierarchical classifiers. - Díez, Jorge; Coz, Juan José del; Bahamonde, Antonio (Pattern Recognit., 2010)

Adapting Decision DAGs for Multipartite Ranking. - Quevedo, José Ramón; Montañés, Elena; Luaces, Oscar; Coz, Juan José del (2010)

Learning Nondeterministic Classifiers. - Coz, Juan José del; Díez, Jorge; Bahamonde, Antonio (J. Mach. Learn. Res., 2009)

Prediction and Inheritance of Phenotypes. - Bahamonde, Antonio; Alonso, Jaime; Coz, Juan José del; Díez, Jorge; Quevedo, José Ramón; Luaces, Oscar (2009)

Soft Margin Trees. - Díez, Jorge; Coz, Juan José del; Bahamonde, Antonio; Luaces, Oscar (2009)

Clustering people according to their preference criteria. - Díez, Jorge; Coz, Juan José del; Luaces, Oscar; Bahamonde, Antonio (Expert Syst. Appl., 2008)

Learning to Predict One or More Ranks in Ordinal Regression Tasks. - Alonso, Jaime; Coz, Juan José del; Díez, Jorge; Luaces, Oscar; Bahamonde, Antonio (2008)

Learning the Reasons Why Groups of Consumers Prefer Some Food Products. - Coz, Juan José del; Díez, Jorge; Bahamonde, Antonio; Sañudo, Carlos; Alfonso, Matilde; Berge, Philippe; Dransfield, Eric; Stamataris, Costas; Zygoyiannis, Demetrios; Valdimarsdottir, Tyri; Piasentier, Edi; Nute, Geoffrey; et al. (2006)

A Kernel Based Method for Discovering Market Segments in Beef Meat. - Díez, Jorge; Coz, Juan José del; Sañudo, Carlos; Albertí, Pere; Bahamonde, Antonio (2005)

Discovering Relevancies in Very Difficult Regression Problems: Applications to Sensory Data Analysis. - Díez, Jorge; Bayón, Gustavo F.; Quevedo, José Ramón; Coz, Juan José del; Luaces, Oscar; Alonso, Jaime; Bahamonde, Antonio (2004)

Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection. - Luaces, Oscar; Bayón, Gustavo F.; Quevedo, José Ramón; Díez, Jorge; Coz, Juan José del; Bahamonde, Antonio (2004)

Feature subset selection for learning preferences: a case study. - Bahamonde, Antonio; Bayón, Gustavo F.; Díez, Jorge; Quevedo, José Ramón; Luaces, Oscar; Coz, Juan José del; Alonso, Jaime; Goyache, Félix (2004)

Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM. - Coz, Juan José del; Bayón, Gustavo F.; Díez, Jorge; Luaces, Oscar; Bahamonde, Antonio; Sañudo, Carlos (2004)

Learning to Assess from Pair-Wise Comparisons. - Díez, Jorge; Coz, Juan José del; Luaces, Oscar; Goyache, Félix; Alonso, Jaime; Peña, A. M.; Bahamonde, Antonio (2002)

Un sistema inteligente para calificar morfológicamente a bovinos de la raza Asturiana de los Valles. - López, F.; Goyache, Félix; Quevedo, José Ramón; Alonso, Jaime; Ranilla, José; Luaces, Oscar; Bahamonde, Antonio; Coz, Juan José del (Inteligencia Artif., 2000)

Development of a distributive control scheme for fluorescent lighting based on LonWorks technology. - Alvarez, José Marcos Alonso; Bueno, Javier Ribas; Velasco, Juan José del Coz; Rodriguez, Antonio Javier Calleja; Corominas, Emilio López; Rico-Secades, Manuel (IEEE Trans. Ind. Electron., 2000)

Autonomous Clustering for Machine Learning. - Luaces, Oscar; Coz, Juan José del; Quevedo, José Ramón; Alonso, Jaime; Ranilla, José; Bahamonde, Antonio (1999)

Self-Organizing Cases to Find Paradigms. - Coz, Juan José del; Luaces, Oscar; Quevedo, José Ramón; Alonso, Jaime; Ranilla, José; Bahamonde, Antonio (1999)