Oscar Luaces

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 22

Top Topics

Object Tracking

Preference Learning

Peer Assessment

Recommender Systems

Top Venues

Prog. Artif. Intell.

Multim. Tools Appl.

Knowl. Based Syst.

Publications

Gonzalo de la Cruz, Madalena Lira, Oscar Luaces, Beatriz Remeseiro
Eye-LRCN: A Long-Term Recurrent Convolutional Network for Eye Blink Completeness Detection. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Pablo Pérez-Núñez, Jorge Díez, Beatriz Remeseiro, Oscar Luaces, Antonio Bahamonde
All-in-one picture: visual summary of items in a recommender system. Neural Comput. Appl. 35 (27) (2023)
Pablo Pérez-Núñez, Jorge Díez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde
Users' photos of items can reveal their tastes in a recommender system. Inf. Sci. 642 (2023)
Pablo Pérez-Núñez, Jorge Díez, Oscar Luaces, Antonio Bahamonde
Correction to: User encoding for clustering in very sparse recommender systems tasks. Multim. Tools Appl. 81 (23) (2022)
Pablo Pérez-Núñez, Jorge Díez, Oscar Luaces, Antonio Bahamonde
User encoding for clustering in very sparse recommender systems tasks. Multim. Tools Appl. 81 (2) (2022)
Jorge Díez, Pablo Pérez-Núñez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde
Towards explainable personalized recommendations by learning from users' photos. Inf. Sci. 520 (2020)
Pablo Pérez-Núñez, Oscar Luaces, Antonio Bahamonde, Jorge Díez
Improving recommender systems by encoding items and user profiles considering the order in their consumption history. Prog. Artif. Intell. 9 (1) (2020)
Jorge Díez, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Luaces, Antonio Bahamonde
Optimizing novelty and diversity in recommendations. Prog. Artif. Intell. 8 (1) (2019)
Oscar Luaces, Jorge Díez, Antonio Bahamonde
A peer assessment method to provide feedback, consistent grading and reduce students' burden in massive teaching settings. Comput. Educ. 126 (2018)
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)
Jaime Alonso, Jorge Díez, Oscar Luaces, Antonio Bahamonde
A new method to learn growth curves of beef cattle using a factorization approach. Comput. Electron. Agric. 151 (2018)
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
Content-based methods in peer assessment of open-response questions to grade students as authors and as graders. Knowl. Based Syst. 117 (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)
Verónica Bolón-Canedo, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Amparo Alonso-Betanzos
Paving the way for providing teaching feedback in automatic evaluation of open response assignments. IJCNN (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)
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)
Oscar Luaces, Jorge Díez, Thorsten Joachims, Antonio Bahamonde
Mapping preferences into Euclidean space. Expert Syst. Appl. 42 (22) (2015)
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
Including Content-Based Methods in Peer-Assessment of Open-Response Questions. ICDM Workshops (2015)
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso Lora, Antonio Bahamonde
A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments. Knowl. Based Syst. 85 (2015)
Jorge Díez, Edna Gamboa, Teresita González de Cossío, Oscar Luaces, Thorsten Joachims, Antonio Bahamonde
Analysis of nutrition data by means of a matrix factorization method. Prog. Artif. Intell. 3 (3-4) (2015)
Gerardo Lastra, Oscar Luaces, Antonio Bahamonde
Interval prediction for graded multi-label classification. Pattern Recognit. Lett. 49 (2014)
José Antonio Sánchez del Rivero, Elena Montañés-Roces, Begoña de la Roza-Delgado, Ana Soldado, Oscar Luaces, José Ramón Quevedo, Antonio Bahamonde
Feature selection for classification of animal feed ingredients from near infrared microscopy spectra. Inf. Sci. 241 (2013)
José Ramón Quevedo, Antonio Bahamonde, Miguel Pérez-Enciso, Oscar Luaces
Disease Liability Prediction from Large Scale Genotyping Data Using Classifiers with a Reject Option. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (1) (2012)
José Ramón Quevedo, Oscar Luaces, Antonio Bahamonde
Multilabel classifiers with a probabilistic thresholding strategy. Pattern Recognit. 45 (2) (2012)
Oscar Luaces, Jorge Díez, José Barranquero, Juan José del Coz, Antonio Bahamonde
Binary relevance efficacy for multilabel classification. Prog. Artif. Intell. 1 (4) (2012)
Oscar Luaces, Luiz Henrique A. Rodrigues, Carlos Alberto Alves Meira, Antonio Bahamonde
Using nondeterministic learners to alert on coffee rust disease. Expert Syst. Appl. 38 (11) (2011)
Gerardo Lastra, Oscar Luaces, José Ramón Quevedo, Antonio Bahamonde
Graphical Feature Selection for Multilabel Classification Tasks. IDA (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)
Oscar Luaces, Luiz Henrique A. Rodrigues, Carlos Alberto Alves Meira, José Ramón Quevedo, Antonio Bahamonde
Viability of an Alarm Predictor for Coffee Rust Disease Using Interval Regression. IEA/AIE (2) (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)
Oscar Luaces, Francisco Taboada, Guillermo M. Albaiceta, Luis A. Domínguez, Pedro Enríquez, Antonio Bahamonde
Predicting the probability of survival in intensive care unit patients from a small number of variables and training examples. Artif. Intell. Medicine 45 (1) (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)
Oscar Luaces, José Ramón Quevedo, Francisco Taboada, Guillermo M. Albaiceta, Antonio Bahamonde
Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area under the ROC Curve. IJCAI (2007)
José Ramón Quevedo, Antonio Bahamonde, Oscar Luaces
A simple and efficient method for variable ranking according to their usefulness for learning. Comput. Stat. Data Anal. 52 (1) (2007)
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)
José Ranilla, Oscar Luaces, Antonio Bahamonde
A heuristic for learning decision trees and pruning them into classification rules. AI Commun. 16 (2) (2003)
Oscar Luaces, Antonio Bahamonde
Inflating examples to obtain rules. Int. J. Intell. Syst. 18 (11) (2003)
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)
Jorge Díez Peláez, José Ranilla, Oscar Luaces
Aplicacion de un proceso de seleccion de reglas a un sistema de aprendizaje. Inteligencia Artif. 6 (15) (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)
Oscar Luaces, Antonio Bahamonde
Aprendizaje de la Similitud entre Casos con Valores Discretos y Numericos (Premio Accésit Jose Cuena). Inteligencia Artif. 4 (9) (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)
Oscar Luaces, Jaime Alonso, Enrique A. de la Cal, José Ranilla, Antonio Bahamonde
Machine Learning Usefulness Relies on Accuracy and Self-Maintenance. IEA/AIE (Vol. 2) (1998)