Antonio Bahamonde

Publication Activity (10 Years)

Years Active: 1985-2023
Publications (10 Years): 22

Top Topics

Matrix Factorization

Recommender Systems

Euclidean Space

Peer Assessment

Top Venues

Prog. Artif. Intell.

Comput. Electron. Agric.

Multim. Tools Appl.

Publications

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)
Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
Scalable feature selection using ReliefF aided by locality-sensitive hashing. Int. J. Intell. Syst. 36 (11) (2021)
Jorge Díez, Pablo Pérez-Núñez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde
Towards explainable personalized recommendations by learning from users' photos. Inf. Sci. 520 (2020)
Carlos Eiras-Franco, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
NN Graph Construction Using Auto-tuned Locality-sensitive Hashing. ACM Trans. Intell. Syst. Technol. 11 (6) (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)
Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
A scalable decision-tree-based method to explain interactions in dyadic data. Decis. Support Syst. 127 (2019)
Carlos Eiras-Franco, David Martínez-Rego, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
Large scale anomaly detection in mixed numerical and categorical input spaces. Inf. Sci. 487 (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)
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)
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)
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)
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)
Jaime Alonso, Alfonso Villa, Antonio Bahamonde
Improved estimation of bovine weight trajectories using Support Vector Machine Classification. Comput. Electron. Agric. 110 (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)
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)
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)
Jorge Díez, Juan José del Coz, Antonio Bahamonde
A semi-dependent decomposition approach to learn hierarchical classifiers. Pattern Recognit. 43 (11) (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)
Antonio Bahamonde
Editorial. Inteligencia Artif. 13 (44) (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)
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)
Alejandro Hernández-Arauzo, Miguel García-Torres, Antonio Bahamonde
Ranking Attributes Using Learning of Preferences by Means of SVM. CAEPIA (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, 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)
José Ranilla, Oscar Luaces, Antonio Bahamonde
A heuristic for learning decision trees and pruning them into classification rules. AI Commun. 16 (2) (2003)
José Ramón Quevedo, Elías F. Combarro, Antonio Bahamonde
Choosing among Algorithms to Improve Accuracy. IWANN (1) (2003)
Oscar Luaces, Antonio Bahamonde
Inflating examples to obtain rules. Int. J. Intell. Syst. 18 (11) (2003)
José Ranilla, Antonio Bahamonde
: Finding Accurate iNductions. Int. J. Hum. Comput. Stud. 56 (4) (2002)
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)
Antonio Bahamonde, Ramón P. Otero
Resumen CAEPIA-TTIA-2002. 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)
F. Martin, E. Panaigua, Ana García-Serrano, R. Rizo, S. Moral, F. Toledo, Antonio Bahamonde
Resumen de CAEPIA99 / TTIA99. Inteligencia Artif. 4 (9) (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)
José Ranilla, Ricardo Mones, Antonio Bahamonde
El Nivel de Impureza de una regla de clasificación aprendida a partir de ejemplos. Inteligencia Artif. 1 (4) (1997)
Pedro Hernández-Arauzo, Secundino López-García, Antonio Bahamonde
Artificial Neural Networks for the Computation of Traffic Queues. IWANN (1997)
Antonio Bahamonde, Enrique A. de la Cal, José Ranilla, Jaime Alonso
Self-Organizing Symbolic Learned Rules. IWANN (1997)
Camino R. Vela, Antonio Bahamonde
The Best Nondeterministic Representations of Finite Orderings. J. Comput. Syst. Sci. 51 (3) (1995)
Francisco Botana, Antonio Bahamonde
SHAPE: a machine learning system from examples. Int. J. Hum. Comput. Stud. 42 (2) (1995)
Camino R. Vela, Antonio Bahamonde
An algorithm to minimize representations of finite order relations. Int. J. Comput. Math. 41 (3-4) (1992)
Antonio Bahamonde
Cost Functors and Optimal Realization. J. Comput. Syst. Sci. 30 (3) (1985)