Learning to Assess from Pair-Wise Comparisons. - Jorge Díez 001; Juan José del Coz; Oscar Luaces; Félix Goyache; Jaime Alonso 001; A. M. Peña; Antonio Bahamonde (IBERAMIA, 2002)

Aplicacion de un proceso de seleccion de reglas a un sistema de aprendizaje. - Jorge Díez Peláez 001; José Ranilla; Oscar Luaces (Inteligencia Artif., 2002)

Discovering Relevancies in Very Difficult Regression Problems: Applications to Sensory Data Analysis. - Jorge Díez 001; Gustavo F. Bayón; José Ramón Quevedo; Juan José del Coz; Oscar Luaces; Jaime Alonso 001; Antonio Bahamonde (ECAI, 2004)

Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection. - Oscar Luaces; Gustavo F. Bayón; José Ramón Quevedo; Jorge Díez 001; Juan José del Coz; Antonio Bahamonde (ECML, 2004)

Feature subset selection for learning preferences: a case study. - Antonio Bahamonde; Gustavo F. Bayón; Jorge Díez 001; José Ramón Quevedo; Oscar Luaces; Juan José del Coz; Jaime Alonso 001; Félix Goyache (ICML, 2004)

Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM. - Juan José del Coz; Gustavo F. Bayón; Jorge Díez 001; Oscar Luaces; Antonio Bahamonde; Carlos Sañudo (NIPS, 2004)

A Kernel Based Method for Discovering Market Segments in Beef Meat. - Jorge Díez 001; Juan José del Coz; Carlos Sañudo; Pere Albertí; Antonio Bahamonde (PKDD, 2005)

Learning the Reasons Why Groups of Consumers Prefer Some Food Products. - Juan José del Coz; Jorge Díez 001; Antonio Bahamonde; Carlos Sañudo; Matilde Alfonso; Philippe Berge; Eric Dransfield; Costas Stamataris; Demetrios Zygoyiannis; Tyri Valdimarsdottir; Edi Piasentier; Geoffrey Nute; et al. (ICDM, 2006)

Learning to Predict One or More Ranks in Ordinal Regression Tasks. - Jaime Alonso 001; Juan José del Coz; Jorge Díez 001; Oscar Luaces; Antonio Bahamonde (ECML/PKDD (1), 2008)

Clustering people according to their preference criteria. - Jorge Díez 001; Juan José del Coz; Oscar Luaces; Antonio Bahamonde (Expert Syst. Appl., 2008)

Prediction and Inheritance of Phenotypes. - Antonio Bahamonde; Jaime Alonso 001; Juan José del Coz; Jorge Díez 001; José Ramón Quevedo; Oscar Luaces (IWINAC (1), 2009)

Soft Margin Trees. - Jorge Díez 001; Juan José del Coz; Antonio Bahamonde; Oscar Luaces (ECML/PKDD (1), 2009)

Learning Nondeterministic Classifiers. - Juan José del Coz; Jorge Díez 001; Antonio Bahamonde (J. Mach. Learn. Res., 2009)

Explaining the Genetic Basis of Complex Quantitative Traits through Prediction Models. - Oscar Luaces; José Ramón Quevedo; Miguel Pérez-Enciso; Jorge Díez 001; Juan José del Coz; Antonio Bahamonde (J. Comput. Biol., 2010)

A semi-dependent decomposition approach to learn hierarchical classifiers. - Jorge Díez 001; Juan José del Coz; Antonio Bahamonde (Pattern Recognit., 2010)

Learning data structure from classes: A case study applied to population genetics. - Juan José del Coz; Jorge Díez 001; Antonio Bahamonde; Félix Goyache (Inf. Sci., 2012)

Binary relevance efficacy for multilabel classification. - Oscar Luaces; Jorge Díez 001; José Barranquero; Juan José del Coz; Antonio Bahamonde (Prog. Artif. Intell., 2012)

Enhancing directed binary trees for multi-class classification. - Elena Montañés; José Barranquero; Jorge Díez 001; Juan José del Coz (Inf. Sci., 2013)

On the study of nearest neighbor algorithms for prevalence estimation in binary problems. - José Barranquero; Pablo González; Jorge Díez 001; Juan José del Coz (Pattern Recognit., 2013)

Multiclass Support Vector Machines With Example-Dependent Costs Applied to Plankton Biomass Estimation. - Pablo González; Eva Alvarez; José Barranquero; Jorge Díez 001; Rafael Gonzalez-Quiros; Enrique Nogueira; Angel Lopez-Urrutia; Juan José del Coz (IEEE Trans. Neural Networks Learn. Syst., 2013)

Including Content-Based Methods in Peer-Assessment of Open-Response Questions. - Oscar Luaces; Jorge Díez 001; Amparo Alonso-Betanzos; Alicia Troncoso; Antonio Bahamonde (ICDM Workshops, 2015)

Mapping preferences into Euclidean space. - Oscar Luaces; Jorge Díez 001; Thorsten Joachims; Antonio Bahamonde (Expert Syst. Appl., 2015)

A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments. - Oscar Luaces; Jorge Díez 001; Amparo Alonso-Betanzos; Alicia Troncoso Lora; Antonio Bahamonde (Knowl. Based Syst., 2015)

Analysis of nutrition data by means of a matrix factorization method. - Jorge Díez 001; Edna Gamboa; Teresita González de Cossío; Oscar Luaces; Thorsten Joachims; Antonio Bahamonde (Prog. Artif. Intell., 2015)

Optimizing different loss functions in multilabel classifications. - Jorge Díez 001; Oscar Luaces; Juan José del Coz; Antonio Bahamonde (Prog. Artif. Intell., 2015)

Quantification-oriented learning based on reliable classifiers. - José Barranquero; Jorge Díez 001; Juan José del Coz (Pattern Recognit., 2015)

Combining Deep Learning and Preference Learning for Object Tracking. - Shu-Chao Pang; Juan José del Coz; Zhezhou Yu; Oscar Luaces; Jorge Díez 001 (ICONIP (3), 2016)

Using tensor products to detect unconditional label dependence in multilabel classifications. - Jorge Díez 001; Juan José del Coz; Oscar Luaces; Antonio Bahamonde (Inf. Sci., 2016)

Paving the way for providing teaching feedback in automatic evaluation of open response assignments. - Verónica Bolón-Canedo; Jorge Díez 001; Oscar Luaces; Antonio Bahamonde; Amparo Alonso-Betanzos (IJCNN, 2017)

Deep learning to frame objects for visual target tracking. - Shu-Chao Pang; Juan José del Coz; Zhezhou Yu; Oscar Luaces; Jorge Díez 001 (Eng. Appl. Artif. Intell., 2017)

Content-based methods in peer assessment of open-response questions to grade students as authors and as graders. - Oscar Luaces; Jorge Díez 001; Amparo Alonso-Betanzos; Alicia Troncoso; Antonio Bahamonde (Knowl. Based Syst., 2017)

Why is quantification an interesting learning problem? - Pablo González; Jorge Díez 001; Nitesh V. Chawla; Juan José del Coz (Prog. Artif. Intell., 2017)

A peer assessment method to provide feedback, consistent grading and reduce students' burden in massive teaching settings. - Oscar Luaces; Jorge Díez 001; Antonio Bahamonde (Comput. Educ., 2018)

A new method to learn growth curves of beef cattle using a factorization approach. - Jaime Alonso 001; Jorge Díez 001; Oscar Luaces; Antonio Bahamonde (Comput. Electron. Agric., 2018)

Deep Learning and Preference Learning for Object Tracking: A Combined Approach. - Shu-Chao Pang; Juan José del Coz; Zhezhou Yu; Oscar Luaces; Jorge Díez 001 (Neural Process. Lett., 2018)

Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices in a Coarse-to-Fine Framework. - Shu-Chao Pang; AnAn Du; Xiaoli He; Jorge Díez 001; Mehmet A. Orgun (ICONIP (4), 2019)

Optimizing novelty and diversity in recommendations. - Jorge Díez 001; David Martínez-Rego; Amparo Alonso-Betanzos; Oscar Luaces; Antonio Bahamonde (Prog. Artif. Intell., 2019)

Towards explainable personalized recommendations by learning from users' photos. - Jorge Díez 001; Pablo Pérez-Núñez; Oscar Luaces; Beatriz Remeseiro; Antonio Bahamonde (Inf. Sci., 2020)

Improving recommender systems by encoding items and user profiles considering the order in their consumption history. - Pablo Pérez-Núñez; Oscar Luaces; Antonio Bahamonde; Jorge Díez 001 (Prog. Artif. Intell., 2020)

User encoding for clustering in very sparse recommender systems tasks. - Pablo Pérez-Núñez; Jorge Díez 001; Oscar Luaces; Antonio Bahamonde (Multim. Tools Appl., 2022)

Correction to: User encoding for clustering in very sparse recommender systems tasks. - Pablo Pérez-Núñez; Jorge Díez 001; Oscar Luaces; Antonio Bahamonde (Multim. Tools Appl., 2022)

Users' photos of items can reveal their tastes in a recommender system. - Pablo Pérez-Núñez; Jorge Díez 001; Oscar Luaces; Beatriz Remeseiro; Antonio Bahamonde (Inf. Sci., 2023)

All-in-one picture: visual summary of items in a recommender system. - Pablo Pérez-Núñez; Jorge Díez 001; Beatriz Remeseiro; Oscar Luaces; Antonio Bahamonde (Neural Comput. Appl., 2023)

Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models. - Xiang Gu; Shuchao Pang; Anan Du; Yifei Wang; Jixiang Miao; Jorge Díez 001 (ECAI, 2024)

Attention-inspired text-based recommender system with explanatory capabilities. - Pablo Pérez-Núñez; Paul Buitelaar; Jorge Díez 001; Oscar Luaces; Antonio Bahamonde (Appl. Soft Comput., 2025)

A multi-task framework for breast cancer segmentation and classification in ultrasound imaging. - Carlos Aumente-Maestro; Jorge Díez 001; Beatriz Remeseiro (Comput. Methods Programs Biomed., 2025)

AUDIT: An open-source Python library for AI model evaluation with use cases in MRI brain tumor segmentation. - Carlos Aumente-Maestro; Michael Müller; Beatriz Remeseiro; Jorge Díez 001; Mauricio Reyes 001 (Comput. Methods Programs Biomed., 2025)

Modeling biodiesel properties by preference learning: Case study of cetane number. - Guillermo Díez-Valbuena; Alejandro García-Tuero; Eduardo Rodríguez; Antolin Hernández Battez; Jorge Díez 001 (Eng. Appl. Artif. Intell., 2025)