Cost Functors and Optimal Realization. - Antonio Bahamonde (J. Comput. Syst. Sci., 1985)

An algorithm to minimize representations of finite order relations. - Camino R. Vela; Antonio Bahamonde (Int. J. Comput. Math., 1992)

SHAPE: a machine learning system from examples. - Francisco Botana; Antonio Bahamonde (Int. J. Hum. Comput. Stud., 1995)

The Best Nondeterministic Representations of Finite Orderings. - Camino R. Vela; Antonio Bahamonde (J. Comput. Syst. Sci., 1995)

Self-Organizing Symbolic Learned Rules. - Antonio Bahamonde; Enrique A. de la Cal; José Ranilla; Jaime Alonso 001 (IWANN, 1997)

Artificial Neural Networks for the Computation of Traffic Queues. - Pedro Hernández-Arauzo; Secundino López-García; Antonio Bahamonde (IWANN, 1997)

El Nivel de Impureza de una regla de clasificación aprendida a partir de ejemplos. - José Ranilla; Ricardo Mones; Antonio Bahamonde (Inteligencia Artif., 1997)

Machine Learning Usefulness Relies on Accuracy and Self-Maintenance. - Oscar Luaces; Jaime Alonso 001; Enrique A. de la Cal; José Ranilla; Antonio Bahamonde (IEA/AIE (Vol. 2), 1998)

Self-Organizing Cases to Find Paradigms. - Juan José del Coz; Oscar Luaces; José Ramón Quevedo; Jaime Alonso 001; José Ranilla; Antonio Bahamonde (IWANN (1), 1999)

Autonomous Clustering for Machine Learning. - Oscar Luaces; Juan José del Coz; José Ramón Quevedo; Jaime Alonso 001; José Ranilla; Antonio Bahamonde (IWANN (1), 1999)

Un sistema inteligente para calificar morfológicamente a bovinos de la raza Asturiana de los Valles. - F. López; Félix Goyache; José Ramón Quevedo; Jaime Alonso 001; José Ranilla; Oscar Luaces; Antonio Bahamonde; Juan José del Coz (Inteligencia Artif., 2000)

Aprendizaje de la Similitud entre Casos con Valores Discretos y Numericos (Premio Accésit Jose Cuena). - Oscar Luaces; Antonio Bahamonde (Inteligencia Artif., 2000)

Resumen de CAEPIA99 / TTIA99. - F. Martin; E. Panaigua; Ana García-Serrano; R. Rizo; S. Moral; F. Toledo; Antonio Bahamonde (Inteligencia Artif., 2000)

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)

Resumen CAEPIA-TTIA-2002. - Antonio Bahamonde; Ramón P. Otero (Inteligencia Artif., 2002)

F AN: Finding Accurate iNductions. - José Ranilla; Antonio Bahamonde (Int. J. Hum. Comput. Stud., 2002)

Choosing among Algorithms to Improve Accuracy. - José Ramón Quevedo; Elías F. Combarro; Antonio Bahamonde (IWANN (1), 2003)

A heuristic for learning decision trees and pruning them into classification rules. - José Ranilla; Oscar Luaces; Antonio Bahamonde (AI Commun., 2003)

Inflating examples to obtain rules. - Oscar Luaces; Antonio Bahamonde (Int. J. Intell. Syst., 2003)

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)

Ranking Attributes Using Learning of Preferences by Means of SVM. - Alejandro Hernández-Arauzo; Miguel García-Torres; Antonio Bahamonde (CAEPIA, 2007)

Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area under the ROC Curve. - Oscar Luaces; José Ramón Quevedo; Francisco Taboada; Guillermo M. Albaiceta; Antonio Bahamonde (IJCAI, 2007)

A simple and efficient method for variable ranking according to their usefulness for learning. - José Ramón Quevedo; Antonio Bahamonde; Oscar Luaces (Comput. Stat. Data Anal., 2007)

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)

Editorial. - Antonio Bahamonde (Inteligencia Artif., 2009)

Predicting the probability of survival in intensive care unit patients from a small number of variables and training examples. - Oscar Luaces; Francisco Taboada; Guillermo M. Albaiceta; Luis A. Domínguez; Pedro Enríquez; Antonio Bahamonde (Artif. Intell. Medicine, 2009)

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

Viability of an Alarm Predictor for Coffee Rust Disease Using Interval Regression. - Oscar Luaces; Luiz Henrique A. Rodrigues; Carlos Alberto Alves Meira; José Ramón Quevedo; Antonio Bahamonde (IEA/AIE (2), 2010)

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)

Graphical Feature Selection for Multilabel Classification Tasks. - Gerardo Lastra; Oscar Luaces; José Ramón Quevedo; Antonio Bahamonde (IDA, 2011)

Using nondeterministic learners to alert on coffee rust disease. - Oscar Luaces; Luiz Henrique A. Rodrigues; Carlos Alberto Alves Meira; Antonio Bahamonde (Expert Syst. Appl., 2011)

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)

Multilabel classifiers with a probabilistic thresholding strategy. - José Ramón Quevedo; Oscar Luaces; Antonio Bahamonde (Pattern Recognit., 2012)

Disease Liability Prediction from Large Scale Genotyping Data Using Classifiers with a Reject Option. - José Ramón Quevedo; Antonio Bahamonde; Miguel Pérez-Enciso; Oscar Luaces (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Feature selection for classification of animal feed ingredients from near infrared microscopy spectra. - José Antonio Sánchez del Rivero; Elena Montañés-Roces; Begoña de la Roza-Delgado; Ana Soldado; Oscar Luaces; José Ramón Quevedo; Antonio Bahamonde (Inf. Sci., 2013)

Interval prediction for graded multi-label classification. - Gerardo Lastra; Oscar Luaces; Antonio Bahamonde (Pattern Recognit. Lett., 2014)

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)

Improved estimation of bovine weight trajectories using Support Vector Machine Classification. - Jaime Alonso 001; Alfonso Villa; Antonio Bahamonde (Comput. Electron. Agric., 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)

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)

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)

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)

A scalable decision-tree-based method to explain interactions in dyadic data. - Carlos Eiras-Franco; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos; Antonio Bahamonde (Decis. Support Syst., 2019)

Large scale anomaly detection in mixed numerical and categorical input spaces. - Carlos Eiras-Franco; David Martínez-Rego; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos; Antonio Bahamonde (Inf. Sci., 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)

Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing. - Carlos Eiras-Franco; David Martínez-Rego; Leslie Kanthan; César Piñeiro; Antonio Bahamonde; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos (ACM Trans. Intell. Syst. Technol., 2020)

Scalable feature selection using ReliefF aided by locality-sensitive hashing. - Carlos Eiras-Franco; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos; Antonio Bahamonde (Int. J. Intell. Syst., 2021)

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)

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)