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ORCIDAntonio Bahamonde
- > Home > Persons > Antonio Bahamonde
Publications
- 2025
[j47]Pablo Pérez-Núñez
, Paul Buitelaar, Jorge Díez, Oscar Luaces, Antonio Bahamonde:
Attention-inspired text-based recommender system with explanatory capabilities. Appl. Soft Comput. 184: 113650 (2025)- [i1]Jorge Díez, Pablo Pérez-Núñez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde:
Towards Explainable Personalized Recommendations by Learning from Users' Photos. CoRR abs/2510.21455 (2025) - 2023
- [j46]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: 119227 (2023) - [j45]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): 20339-20349 (2023) - 2022
- [j44]Pablo Pérez-Núñez, Jorge Díez, Oscar Luaces, Antonio Bahamonde:
User encoding for clustering in very sparse recommender systems tasks. Multim. Tools Appl. 81(2): 2467-2488 (2022) - [j43]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): 34165-34166 (2022) - 2020
- [j41]Jorge Díez, Pablo Pérez-Núñez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde:
Towards explainable personalized recommendations by learning from users' photos. Inf. Sci. 520: 416-430 (2020) - [j40]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): 67-75 (2020) - 2019
- [j36]Jorge Díez, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Luaces, Antonio Bahamonde:
Optimizing novelty and diversity in recommendations. Prog. Artif. Intell. 8(1): 101-109 (2019) - 2018
- [j35]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: 283-295 (2018) - [j34]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: 77-83 (2018) - 2017
- [j33]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: 79-87 (2017) - [c22]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: 3447-3453 - 2016
- [j32]Jorge Díez, Juan José del Coz, Oscar Luaces, Antonio Bahamonde:
Using tensor products to detect unconditional label dependence in multilabel classifications. Inf. Sci. 329: 20-32 (2016) - 2015
- [j30]Oscar Luaces, Jorge Díez, Thorsten Joachims, Antonio Bahamonde:
Mapping preferences into Euclidean space. Expert Syst. Appl. 42(22): 8588-8596 (2015) - [j29]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: 322-328 (2015) - [j28]Jorge Díez, Oscar Luaces, Juan José del Coz, Antonio Bahamonde:
Optimizing different loss functions in multilabel classifications. Prog. Artif. Intell. 3(2): 107-118 (2015) - [j27]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): 119-127 (2015) - [c21]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: 273-279 - 2012
- [j24]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: 22-35 (2012) - [j23]Oscar Luaces, Jorge Díez, José Barranquero, Juan José del Coz, Antonio Bahamonde:
Binary relevance efficacy for multilabel classification. Prog. Artif. Intell. 1(4): 303-313 (2012) - 2010
- [j19]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): 1711-1723 (2010) - [j18]Jorge Díez, Juan José del Coz, Antonio Bahamonde:
A semi-dependent decomposition approach to learn hierarchical classifiers. Pattern Recognit. 43(11): 3795-3804 (2010) - 2009
- [j15]Juan José del Coz, Jorge Díez, Antonio Bahamonde:
Learning Nondeterministic Classifiers. J. Mach. Learn. Res. 10: 2273-2293 (2009) - [c18]Antonio Bahamonde, Jaime Alonso, Juan José del Coz, Jorge Díez, José Ramón Quevedo, Oscar Luaces:
Prediction and Inheritance of Phenotypes. IWINAC (1) 2009: 275-284 - [c17]Jorge Díez, Juan José del Coz, Antonio Bahamonde, Oscar Luaces:
Soft Margin Trees. ECML/PKDD (1) 2009: 302-314 - 2008
- [j14]Jorge Díez, Juan José del Coz, Oscar Luaces, Antonio Bahamonde:
Clustering people according to their preference criteria. Expert Syst. Appl. 34(2): 1274-1284 (2008) - [c16]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: 39-54 - 2006
- [c13]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: 297-309 - 2005
- [c12]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: 462-469 - 2004
- [c11]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: 993-994 - [c10]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: 286-297 - [c9]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 - [c8]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: 321-328 - 2002
- [c6]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: 481-490
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last updated on 2025-12-28 00:20 CET by the dblp team
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