Jorge Díez

49 papers A* 2A 2B 1Journal 34Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing anomaly detection in satellite imagery using self-supervised learning techniques.
Neural Comput. Appl.
Raúl Barba-Rojas, José Luis Espinosa-Aranda, Jorge Díez
2025 J jnl
A multi-task framework for breast cancer segmentation and classification in ultrasound imaging.
Comput. Methods Programs Biomed.
Carlos Aumente-Maestro, Jorge Díez, Beatriz Remeseiro
2025 J jnl
AUDIT: An open-source Python library for AI model evaluation with use cases in MRI brain tumor segmentation.
Comput. Methods Programs Biomed.
Carlos Aumente-Maestro, Michael Müller, Beatriz Remeseiro, Jorge Díez, Mauricio Reyes
2025 J jnl
Attention-inspired text-based recommender system with explanatory capabilities.
Appl. Soft Comput.
Pablo Pérez-Núñez, Paul Buitelaar, Jorge Díez, Oscar Luaces, Antonio Bahamonde
2025 J jnl
Modeling biodiesel properties by preference learning: Case study of cetane number.
Eng. Appl. Artif. Intell.
Guillermo Díez-Valbuena, Alejandro García-Tuero, Eduardo Rodríguez, Antolin Hernández Battez, Jorge Díez
2025 J jnl
Towards Explainable Personalized Recommendations by Learning from Users' Photos.
CoRR
Jorge Díez, Pablo Pérez-Núñez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde
2024 A conf
Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models.
ECAI
Xiang Gu, Shuchao Pang, Anan Du, Yifei Wang, Jixiang Miao, Jorge Díez
2023 J jnl
All-in-one picture: visual summary of items in a recommender system.
Neural Comput. Appl.
Pablo Pérez-Núñez, Jorge Díez, Beatriz Remeseiro, Oscar Luaces, Antonio Bahamonde
2023 J jnl
Users' photos of items can reveal their tastes in a recommender system.
Inf. Sci.
Pablo Pérez-Núñez, Jorge Díez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde
2022 J jnl
Correction to: User encoding for clustering in very sparse recommender systems tasks.
Multim. Tools Appl.
Pablo Pérez-Núñez, Jorge Díez, Oscar Luaces, Antonio Bahamonde
2022 J jnl
User encoding for clustering in very sparse recommender systems tasks.
Multim. Tools Appl.
Pablo Pérez-Núñez, Jorge Díez, Oscar Luaces, Antonio Bahamonde
2020 J jnl
Improving recommender systems by encoding items and user profiles considering the order in their consumption history.
Prog. Artif. Intell.
Pablo Pérez-Núñez, Oscar Luaces, Antonio Bahamonde, Jorge Díez
2020 J jnl
Towards explainable personalized recommendations by learning from users' photos.
Inf. Sci.
Jorge Díez, Pablo Pérez-Núñez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde
2019 — conf
Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices in a Coarse-to-Fine Framework.
ICONIP (4)
Shu-Chao Pang, Anan Du, Xiaoli He, Jorge Díez, Mehmet A. Orgun
2019 J jnl
Optimizing novelty and diversity in recommendations.
Prog. Artif. Intell.
Jorge Díez, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Luaces, Antonio Bahamonde
2018 J jnl
A new method to learn growth curves of beef cattle using a factorization approach.
Comput. Electron. Agric.
Jaime Alonso, Jorge Díez, Oscar Luaces, Antonio Bahamonde
2018 J jnl
A peer assessment method to provide feedback, consistent grading and reduce students' burden in massive teaching settings.
Comput. Educ.
Oscar Luaces, Jorge Díez, Antonio Bahamonde
2018 J jnl
Deep Learning and Preference Learning for Object Tracking: A Combined Approach.
Neural Process. Lett.
Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez
2017 J jnl
Content-based methods in peer assessment of open-response questions to grade students as authors and as graders.
Knowl. Based Syst.
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
2017 J jnl
Deep learning to frame objects for visual target tracking.
Eng. Appl. Artif. Intell.
Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez
2017 B conf
Paving the way for providing teaching feedback in automatic evaluation of open response assignments.
IJCNN
Verónica Bolón-Canedo, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Amparo Alonso-Betanzos
2017 J jnl
Why is quantification an interesting learning problem?
Prog. Artif. Intell.
Pablo González, Jorge Díez, Nitesh V. Chawla, Juan José del Coz
2016 — conf
Combining Deep Learning and Preference Learning for Object Tracking.
ICONIP (3)
Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez
2016 J jnl
Using tensor products to detect unconditional label dependence in multilabel classifications.
Inf. Sci.
Jorge Díez, Juan José del Coz, Oscar Luaces, Antonio Bahamonde
2015 J jnl
A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments.
Knowl. Based Syst.
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso Lora, Antonio Bahamonde
2015 J jnl
Analysis of nutrition data by means of a matrix factorization method.
Prog. Artif. Intell.
Jorge Díez, Edna Gamboa, Teresita González de Cossío, Oscar Luaces, Thorsten Joachims, Antonio Bahamonde
2015 — conf
Including Content-Based Methods in Peer-Assessment of Open-Response Questions.
ICDM Workshops
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
2015 J jnl
Mapping preferences into Euclidean space.
Expert Syst. Appl.
Oscar Luaces, Jorge Díez, Thorsten Joachims, Antonio Bahamonde
2015 J jnl
Optimizing different loss functions in multilabel classifications.
Prog. Artif. Intell.
Jorge Díez, Oscar Luaces, Juan José del Coz, Antonio Bahamonde
2015 J jnl
Quantification-oriented learning based on reliable classifiers.
Pattern Recognit.
José Barranquero, Jorge Díez, Juan José del Coz
2013 J jnl
Enhancing directed binary trees for multi-class classification.
Inf. Sci.
Elena Montañés, José Barranquero, Jorge Díez, Juan José del Coz
2013 J jnl
Multiclass Support Vector Machines With Example-Dependent Costs Applied to Plankton Biomass Estimation.
IEEE Trans. Neural Networks Learn. Syst.
Pablo González, Eva Alvarez, José Barranquero, Jorge Díez, Rafael Gonzalez-Quiros, Enrique Nogueira, Angel Lopez-Urrutia, Juan José del Coz
2013 J jnl
On the study of nearest neighbor algorithms for prevalence estimation in binary problems.
Pattern Recognit.
José Barranquero, Pablo González, Jorge Díez, Juan José del Coz
2012 J jnl
Binary relevance efficacy for multilabel classification.
Prog. Artif. Intell.
Oscar Luaces, Jorge Díez, José Barranquero, Juan José del Coz, Antonio Bahamonde
2012 J jnl
Learning data structure from classes: A case study applied to population genetics.
Inf. Sci.
Juan José del Coz, Jorge Díez, Antonio Bahamonde, Félix Goyache
2010 J jnl
A semi-dependent decomposition approach to learn hierarchical classifiers.
Pattern Recognit.
Jorge Díez, Juan José del Coz, Antonio Bahamonde
2010 J jnl
Explaining the Genetic Basis of Complex Quantitative Traits through Prediction Models.
J. Comput. Biol.
Oscar Luaces, José Ramón Quevedo, Miguel Pérez-Enciso, Jorge Díez, Juan José del Coz, Antonio Bahamonde
2009 J jnl
Learning Nondeterministic Classifiers.
J. Mach. Learn. Res.
Juan José del Coz, Jorge Díez, Antonio Bahamonde
2009 — conf
Prediction and Inheritance of Phenotypes.
IWINAC (1)
Antonio Bahamonde, Jaime Alonso, Juan José del Coz, Jorge Díez, José Ramón Quevedo, Oscar Luaces
2009 — conf
Soft Margin Trees.
ECML/PKDD (1)
Jorge Díez, Juan José del Coz, Antonio Bahamonde, Oscar Luaces
2008 J jnl
Clustering people according to their preference criteria.
Expert Syst. Appl.
Jorge Díez, Juan José del Coz, Oscar Luaces, Antonio Bahamonde
2008 — conf
Learning to Predict One or More Ranks in Ordinal Regression Tasks.
ECML/PKDD (1)
Jaime Alonso, Juan José del Coz, Jorge Díez, Oscar Luaces, Antonio Bahamonde
2006 A* conf
Learning the Reasons Why Groups of Consumers Prefer Some Food Products.
ICDM
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
2005 — conf
A Kernel Based Method for Discovering Market Segments in Beef Meat.
PKDD
Jorge Díez, Juan José del Coz, Carlos Sañudo, Pere Albertí, Antonio Bahamonde
2004 — conf
Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection.
ECML
Oscar Luaces, Gustavo F. Bayón, José Ramón Quevedo, Jorge Díez, Juan José del Coz, Antonio Bahamonde
2004 A conf
Discovering Relevancies in Very Difficult Regression Problems: Applications to Sensory Data Analysis.
ECAI
Jorge Díez, Gustavo F. Bayón, José Ramón Quevedo, Juan José del Coz, Oscar Luaces, Jaime Alonso, Antonio Bahamonde
2004 A* conf
Feature subset selection for learning preferences: a case study.
ICML
Antonio Bahamonde, Gustavo F. Bayón, Jorge Díez, José Ramón Quevedo, Oscar Luaces, Juan José del Coz, Jaime Alonso, Félix Goyache
2004 — conf
Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM.
NIPS
Juan José del Coz, Gustavo F. Bayón, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Carlos Sañudo
2002 — conf
Learning to Assess from Pair-Wise Comparisons.
IBERAMIA
Jorge Díez, Juan José del Coz, Oscar Luaces, Félix Goyache, Jaime Alonso, A. M. Peña, Antonio Bahamonde