Juan José del Coz

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 23

Top Topics

Object Tracking

Preference Learning

Kernel Density Estimation

Multilabel Classification

Top Venues

Pattern Recognit.

Prog. Artif. Intell.

Publications

Alejandro Moreo, Pablo González, Juan José del Coz
Kernel Density Estimation for Multiclass Quantification. CoRR (2024)
Alberto Castaño, Pablo González, Jaime Alonso González, Juan José del Coz
Matching Distributions Algorithms Based on the Earth Mover's Distance for Ordinal Quantification. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Olaya Pérez-Mon, Alejandro Moreo, Juan José del Coz, Pablo González
Quantification using Permutation-Invariant Networks based on Histograms. CoRR (2024)
Alberto Castaño, Jaime Alonso, Pablo González, Pablo Pérez, Juan José del Coz
QuantificationLib: A Python library for quantification and prevalence estimation. SoftwareX 26 (2024)
Alberto Castaño, Jaime Alonso, Pablo González, Juan José del Coz
An Equivalence Analysis of Binary Quantification Methods. AAAI (2023)
Juan José del Coz
UniOviedo(Team2) at LeQua 2022: Comparison of traditional quantifiers and a new method based on Energy Distance. CLEF (Working Notes) (2022)
Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani
Report on the 1st International Workshop on Learning to Quantify (LQ 2021). SIGKDD Explor. 24 (1) (2022)
Pablo González, Juan José del Coz
Histogram-based Deep Neural Network for Quantification. CIKM Workshops (2021)
Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani
Learning to Quantify: Methods and Applications (LQ 2021). CIKM (2021)
Miriam Fdez-Díaz, Laura Fdez-Díaz, Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz
Improving the ε-approximate algorithm for Probabilistic Classifier Chains. Knowl. Inf. Syst. 62 (7) (2020)
Robin Senge, Juan José del Coz, Eyke Hüllermeier
Rectifying Classifier Chains for Multi-Label Classification. CoRR (2019)
Pablo Pérez-Gállego, Alberto Castaño, José Ramón Quevedo, Juan José del Coz
Dynamic ensemble selection for quantification tasks. Inf. Fusion 45 (2019)
Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez
Deep Learning and Preference Learning for Object Tracking: A Combined Approach. Neural Process. Lett. 47 (3) (2018)
Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz
A family of admissible heuristics for A* to perform inference in probabilistic classifier chains. Mach. Learn. 106 (1) (2017)
Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez
Deep learning to frame objects for visual target tracking. Eng. Appl. Artif. Intell. 65 (2017)
Deiner Mena, José Ramón Quevedo, Elena Montañés, Juan José del Coz
A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains. Knowl. Based Syst. 126 (2017)
Pablo Pérez-Gállego, José Ramón Quevedo, Juan José del Coz
Using ensembles for problems with characterizable changes in data distribution: A case study on quantification. Inf. Fusion 34 (2017)
Pablo González, Jorge Díez, Nitesh V. Chawla, Juan José del Coz
Why is quantification an interesting learning problem? Prog. Artif. Intell. 6 (1) (2017)
Pablo González, Alberto Castaño, Nitesh V. Chawla, Juan José del Coz
A Review on Quantification Learning. ACM Comput. Surv. 50 (5) (2017)
Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez
Combining Deep Learning and Preference Learning for Object Tracking. ICONIP (3) (2016)
Jorge Díez, Juan José del Coz, Oscar Luaces, Antonio Bahamonde
Using tensor products to detect unconditional label dependence in multilabel classifications. Inf. Sci. 329 (2016)
Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz
An overview of inference methods in probabilistic classifier chains for multilabel classification. WIREs Data Mining Knowl. Discov. 6 (6) (2016)
Enrique J. deAndrés-Galiana, Juan Luis Fernández Martínez, Oscar Luaces, Juan José del Coz, Leticia Huergo-Zapico, Andrea Acebes-Huerta, Segundo González, Ana P. González-Rodríguez
Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems. J. Biomed. Informatics 60 (2016)
Jorge Díez, Oscar Luaces, Juan José del Coz, Antonio Bahamonde
Optimizing different loss functions in multilabel classifications. Prog. Artif. Intell. 3 (2) (2015)
Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz
Using A* for Inference in Probabilistic Classifier Chains. IJCAI (2015)
José Barranquero, Jorge Díez, Juan José del Coz
Quantification-oriented learning based on reliable classifiers. Pattern Recognit. 48 (2) (2015)
Elena Montañés, Robin Senge, José Barranquero, José Ramón Quevedo, Juan José del Coz, Eyke Hüllermeier
Dependent binary relevance models for multi-label classification. Pattern Recognit. 47 (3) (2014)
José Barranquero, Pablo González, Jorge Díez, Juan José del Coz
On the study of nearest neighbor algorithms for prevalence estimation in binary problems. Pattern Recognit. 46 (2) (2013)
Robin Senge, Juan José del Coz, Eyke Hüllermeier
Rectifying Classifier Chains for Multi-Label Classification. LWA (2013)
Elena Montañés, José Barranquero, Jorge Díez, Juan José del Coz
Enhancing directed binary trees for multi-class classification. Inf. Sci. 223 (2013)
Pablo González, Eva Alvarez, José Barranquero, Jorge Díez, Rafael Gonzalez-Quiros, Enrique Nogueira, Angel Lopez-Urrutia, Juan José del Coz
Multiclass Support Vector Machines With Example-Dependent Costs Applied to Plankton Biomass Estimation. IEEE Trans. Neural Networks Learn. Syst. 24 (11) (2013)
Oscar Luaces, Jorge Díez, José Barranquero, Juan José del Coz, Antonio Bahamonde
Binary relevance efficacy for multilabel classification. Prog. Artif. Intell. 1 (4) (2012)
Juan José del Coz, Jorge Díez, Antonio Bahamonde, Félix Goyache
Learning data structure from classes: A case study applied to population genetics. Inf. Sci. 193 (2012)
Robin Senge, Juan José del Coz, Eyke Hüllermeier
On the Problem of Error Propagation in Classifier Chains for Multi-label Classification. GfKl (2012)
Elena Montañés, José Ramón Quevedo, Juan José del Coz
Aggregating Independent and Dependent Models to Learn Multi-label Classifiers. ECML/PKDD (2) (2011)
Oscar Luaces, José Ramón Quevedo, Miguel Pérez-Enciso, Jorge Díez, Juan José del Coz, Antonio Bahamonde
Explaining the Genetic Basis of Complex Quantitative Traits through Prediction Models. J. Comput. Biol. 17 (12) (2010)
José Ramón Quevedo, Elena Montañés, Oscar Luaces, Juan José del Coz
Adapting Decision DAGs for Multipartite Ranking. ECML/PKDD (3) (2010)
Jorge Díez, Juan José del Coz, Antonio Bahamonde
A semi-dependent decomposition approach to learn hierarchical classifiers. Pattern Recognit. 43 (11) (2010)
Jorge Díez, Juan José del Coz, Antonio Bahamonde, Oscar Luaces
Soft Margin Trees. ECML/PKDD (1) (2009)
Antonio Bahamonde, Jaime Alonso, Juan José del Coz, Jorge Díez, José Ramón Quevedo, Oscar Luaces
Prediction and Inheritance of Phenotypes. IWINAC (1) (2009)
Juan José del Coz, Jorge Díez, Antonio Bahamonde
Learning Nondeterministic Classifiers. J. Mach. Learn. Res. 10 (2009)
Jaime Alonso, Juan José del Coz, Jorge Díez, Oscar Luaces, Antonio Bahamonde
Learning to Predict One or More Ranks in Ordinal Regression Tasks. ECML/PKDD (1) (2008)
Jorge Díez, Juan José del Coz, Oscar Luaces, Antonio Bahamonde
Clustering people according to their preference criteria. Expert Syst. Appl. 34 (2) (2008)
Juan José del Coz, Jorge Díez, Antonio Bahamonde, Carlos Sañudo, Matilde Alfonso, Philippe Berge, Eric Dransfield, Costas Stamataris, Demetrios Zygoyiannis, Tyri Valdimarsdottir, Edi Piasentier, Geoffrey Nute, Alan Fisher
Learning the Reasons Why Groups of Consumers Prefer Some Food Products. ICDM (2006)
Jorge Díez, Juan José del Coz, Carlos Sañudo, Pere Albertí, Antonio Bahamonde
A Kernel Based Method for Discovering Market Segments in Beef Meat. PKDD (2005)
Juan José del Coz, Gustavo F. Bayón, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Carlos Sañudo
Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM. NIPS (2004)
Jorge Díez, Gustavo F. Bayón, José Ramón Quevedo, Juan José del Coz, Oscar Luaces, Jaime Alonso, Antonio Bahamonde
Discovering Relevancies in Very Difficult Regression Problems: Applications to Sensory Data Analysis. ECAI (2004)
Oscar Luaces, Gustavo F. Bayón, José Ramón Quevedo, Jorge Díez, Juan José del Coz, Antonio Bahamonde
Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection. ECML (2004)
Antonio Bahamonde, Gustavo F. Bayón, Jorge Díez, José Ramón Quevedo, Oscar Luaces, Juan José del Coz, Jaime Alonso, Félix Goyache
Feature subset selection for learning preferences: a case study. ICML (2004)
Jorge Díez, Juan José del Coz, Oscar Luaces, Félix Goyache, Jaime Alonso, A. M. Peña, Antonio Bahamonde
Learning to Assess from Pair-Wise Comparisons. IBERAMIA (2002)
F. López, Félix Goyache, José Ramón Quevedo, Jaime Alonso, José Ranilla, Oscar Luaces, Antonio Bahamonde, Juan José del Coz
Un sistema inteligente para calificar morfológicamente a bovinos de la raza Asturiana de los Valles. Inteligencia Artif. 4 (10) (2000)
Juan José del Coz, Oscar Luaces, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde
Self-Organizing Cases to Find Paradigms. IWANN (1) (1999)
Oscar Luaces, Juan José del Coz, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde
Autonomous Clustering for Machine Learning. IWANN (1) (1999)