Oscar Luaces

55 papers A* 2A 1B 2Journal 36Unranked 13
YearRankTypeTitle / Venue / Authors
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
Towards Explainable Personalized Recommendations by Learning from Users' Photos.
CoRR
Jorge Díez, Pablo Pérez-Núñez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde
2024 J jnl
Eye-LRCN: A Long-Term Recurrent Convolutional Network for Eye Blink Completeness Detection.
IEEE Trans. Neural Networks Learn. Syst.
Gonzalo de la Cruz, Madalena Lira, Oscar Luaces, Beatriz Remeseiro
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 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
2016 — ed.
Advances in Artificial Intelligence - 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings
CAEPIA
Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado
2016 J jnl
Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems.
J. Biomed. Informatics
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
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
2014 J jnl
Interval prediction for graded multi-label classification.
Pattern Recognit. Lett.
Gerardo Lastra, Oscar Luaces, Antonio Bahamonde
2013 J jnl
Feature selection for classification of animal feed ingredients from near infrared microscopy spectra.
Inf. Sci.
José Antonio Sánchez del Rivero, Elena Montañés-Roces, Begoña de la Roza-Delgado, Ana Soldado, Oscar Luaces, José Ramón Quevedo, Antonio Bahamonde
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
Disease Liability Prediction from Large Scale Genotyping Data Using Classifiers with a Reject Option.
IEEE ACM Trans. Comput. Biol. Bioinform.
José Ramón Quevedo, Antonio Bahamonde, Miguel Pérez-Enciso, Oscar Luaces
2012 J jnl
Multilabel classifiers with a probabilistic thresholding strategy.
Pattern Recognit.
José Ramón Quevedo, Oscar Luaces, Antonio Bahamonde
2011 B conf
Graphical Feature Selection for Multilabel Classification Tasks.
IDA
Gerardo Lastra, Oscar Luaces, José Ramón Quevedo, Antonio Bahamonde
2011 J jnl
Using nondeterministic learners to alert on coffee rust disease.
Expert Syst. Appl.
Oscar Luaces, Luiz Henrique A. Rodrigues, Carlos Alberto Alves Meira, Antonio Bahamonde
2010 — conf
Adapting Decision DAGs for Multipartite Ranking.
ECML/PKDD (3)
José Ramón Quevedo, Elena Montañés, Oscar Luaces, Juan José del Coz
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
2010 — conf
Viability of an Alarm Predictor for Coffee Rust Disease Using Interval Regression.
IEA/AIE (2)
Oscar Luaces, Luiz Henrique A. Rodrigues, Carlos Alberto Alves Meira, José Ramón Quevedo, Antonio Bahamonde
2009 J jnl
Predicting the probability of survival in intensive care unit patients from a small number of variables and training examples.
Artif. Intell. Medicine
Oscar Luaces, Francisco Taboada, Guillermo M. Albaiceta, Luis A. Domínguez, Pedro Enríquez, 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
2007 J jnl
A simple and efficient method for variable ranking according to their usefulness for learning.
Comput. Stat. Data Anal.
José Ramón Quevedo, Antonio Bahamonde, Oscar Luaces
2007 A* conf
Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area under the ROC Curve.
IJCAI
Oscar Luaces, José Ramón Quevedo, Francisco Taboada, Guillermo M. Albaiceta, 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
2003 J jnl
A heuristic for learning decision trees and pruning them into classification rules.
AI Commun.
José Ranilla, Oscar Luaces, Antonio Bahamonde
2003 J jnl
Inflating examples to obtain rules.
Int. J. Intell. Syst.
Oscar Luaces, Antonio Bahamonde
2002 J jnl
Aplicacion de un proceso de seleccion de reglas a un sistema de aprendizaje.
Inteligencia Artif.
Jorge Díez Peláez, José Ranilla, Oscar Luaces
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
2000 J jnl
Aprendizaje de la Similitud entre Casos con Valores Discretos y Numericos (Premio Accésit Jose Cuena).
Inteligencia Artif.
Oscar Luaces, Antonio Bahamonde
2000 J jnl
Un sistema inteligente para calificar morfológicamente a bovinos de la raza Asturiana de los Valles.
Inteligencia Artif.
F. López, Félix Goyache, José Ramón Quevedo, Jaime Alonso, José Ranilla, Oscar Luaces, Antonio Bahamonde, Juan José del Coz
1999 — conf
Autonomous Clustering for Machine Learning.
IWANN (1)
Oscar Luaces, Juan José del Coz, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde
1999 — conf
Self-Organizing Cases to Find Paradigms.
IWANN (1)
Juan José del Coz, Oscar Luaces, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde
1998 — conf
Machine Learning Usefulness Relies on Accuracy and Self-Maintenance.
IEA/AIE (Vol. 2)
Oscar Luaces, Jaime Alonso, Enrique A. de la Cal, José Ranilla, Antonio Bahamonde