2024
M.A. Alsalem, A.H. Alamoodi, O.S. Albahri, A.S. Albahri, Luis Martínez, Raciel Yera, Ali M. Duhaim, Iman Mohamad Sharaf
Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach
https://doi.org/10.1016/j.eswa.2023.123066
published_6.pdf2.4 MB
Expert Systems with Applications, vol. 246, p. 123066, 2024.
Francisco J Baldán, Raciel Yera, Luis Martínez
"Natural noise management in collaborative recommender systems over time-related information"
https://doi.org/10.1007/s11227-024-06267-7
s11227-024-06267-7_0.pdf1.89 MB
"The Journal of Supercomputing", pp. 23628–23666, 2024.
Raciel Yera, Rosa María Rodríguez, Álvaro Labella, Luis Martínez
Una revisión sistemática sobre el uso de gamificación en la enseñanza de la programación
ACEDEDOT2024_final_ready.pdf802.74 KB
XV Workshop in Operations Management and Technology, Linares, Jaén (Spain), 14 – 16 de Marzo. 2024.
2023
Raciel Yera, Ahmad A. Alzahrani, Luis Martínez, Rosa María Rodríguez
A Systematic Review on Food Recommender Systems for Diabetic Patients
10.3390/ijerph20054248
2023-Yera et al-ijerph-20-04248.pdf784.35 KB
International Journal of Environmental Research and Public Health , vol. 20, p. 4248, 2023.
Raciel Yera, Rosa María Rodríguez, Luis Martínez
Exploring the Automatic Selection of Aggregation Methods in Group Recommendation
10.1007/978-3-031-39965-7_13
2023-Yera et al-LNCS.pdf923.71 KB
«Exploring the Automatic Selection of Aggregation Methods in Group Recommendation», in 13th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2023, Palma (Spain), September 4-8th, 2023, pp. 149–160.
Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez
Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks
https://doi.org/10.1016/j.knosys.2023.111016
Publicado_GANRS_2023_KBS.pdf3.1 MB
Knowledge-Based Systems, vol. 280, p. 111016, 2023.
2022
Raciel Yera, Álvaro Labella, Luis Martínez
Recomendación a grupos basada en un modelo de consenso de mínimo costo
«Recomendación a grupos basada en un modelo de consenso de mínimo costo», in Marketing Digital y Big Data, Madrid: Funcas, 2022, pp. 45-65.
Raciel Yera, Ahmad A. Alzahrani, Luis Martínez
Exploring post-hoc agnostic models for explainable cooking recipe recommendations
https://doi.org/10.1016/j.knosys.2022.109216
2022_knosys_exp_RS.pdf953.53 KB
Knowledge-Based Systems, vol. 251, p. 109216, 2022.
Raciel Yera, Ahmad A. Alzahrani, Luis Martínez
A fuzzy content-based group recommender system with dynamic selection of the aggregation functions
https://doi.org/10.1016/j.ijar.2022.08.015
1-s2.0-S0888613X2200127X-main.pdf1.83 MB
International Journal of Approximate Reasoning, vol. 150, pp. 273-296, 2022.
2021
Yilena Pérez-Almaguer, Raciel Yera, A. A. Alzahrani, Luis Martínez
Content-based group recommender systems: a general taxonomy and further improvements
https://doi.org/10.1016/j.eswa.2021.115444
Perez_Yera_etal_ESWA2021_ContentBased.pdf1.98 MB
Expert Systems with Applications, vol. 184, p. 115444, 2021.
2020
Raciel Yera, Jorge Castro, Luis Martínez
"Natural Noise Management in Recommender Systems Using Fuzzy Tools"
"10.1007/978-3-030-23760-8_1"
«"Natural Noise Management in Recommender Systems Using Fuzzy Tools"», in Computational Intelligence for Semantic Knowledge Management New Perspectives for Designing and Organizing Information Systems, vol. 837, "Cham": "Springer International Publishing", 2020, pp. 1-24.
Manuel José Barranco, Pedro José Sánchez, Jorge Castro, Raciel Yera
A Big Data Semantic Driven Context Aware Recommendation Method
http://doi.org/10.1007/978-3-030-51156-2_103
A Big Data Semantic Driven Context Aware Recommendation Method - 2021_Book_IntelligentAndFuzzyTechniquesS_INFUS_2020.pdf304.68 KB
«A Big Data Semantic Driven Context Aware Recommendation Method», in INFUS 2020 - International Conference on Intelligent and Fuzzy Systems 2020 - Estambul - Turquia, 2020, Advances in Intelligent Systems and Computing., vol. 1197, p. 894--902.
2019
Raciel Yera, Manuel José Barranco, A. A. Alzahrani, Luis Martínez
Exploring Fuzzy Rating Regularities for Managing Natural Noise in Collaborative Recommendation
https://doi.org/10.2991/ijcis.d.191115.001
125923236-publicado.pdf748.26 KB
International Journal of Computational Intelligence Systems, vol. 12, n.º 2, pp. 1382 - 1392, 2019.
Jorge Castro, Raciel Yera, A. A. Alzahrani, Pedro José Sánchez, Manuel José Barranco, Luis Martínez
A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items
10.1109/ACCESS.2019.2957881
08924671-published.pdf2.57 MB
IEEE Access, vol. 7, n.º 1, pp. 182664-182678, 2019.
Raciel Yera, Luis Martínez
A health-awareness nutrition recommender system
10.1109/ISKE47853.2019.9170432
2019-Yera et al.pdf160.91 KB
«A health-awareness nutrition recommender system», in IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, 14th-16th November, 2019, pp. 36-42.
Raciel Yera, A. A. Alzahrani, Luis Martínez
A food recommender system considering nutritional information and user preferences
10.1109/ACCESS.2019.2929413
On-line-food-nutrition.pdf8.72 MB
IEEE Access, vol. 7, n.º 1, pp. 96695-96711, 2019.
2018
Jorge Castro, Raciel Yera, Luis Martínez
A fuzzy approach for natural noise management in group recommender systems
https://doi.org/10.1016/j.eswa.2017.10.060
Expert Systems with Applications, vol. 94, pp. 237-249, 2018.
Raciel Yera, Álvaro Labella, Jorge Castro, Luis Martínez
On group recommendation supported by a minimum cost consensus model
https://doi.org/10.1142/9789813273238_0031
2018-Yera-FLINS.pdf256.24 KB
«On group recommendation supported by a minimum cost consensus model», in 13th International FLINS conference, 2018, vol. 11, pp. 227-234.
Raciel Yera, Yailé Caballero Mota, Luis Martínez
A Recommender System for Programming Online Judges Using Fuzzy Information Modeling
10.3390/informatics5020017
informatics-05-00017.pdf860.74 KB
Informatics, vol. 5, 2018.
2017
Jorge Castro, Raciel Yera, Luis Martínez
An empirical study of natural noise management in group recommendation systems
http://dx.doi.org/10.1016/j.dss.2016.09.020
Decision Support Systems, vol. 94, pp. 1-11, 2017.
Raciel Yera, Luis Martínez
Fuzzy Tools in Recommender Systems: A Survey
ijcis_10_776_803.pdf2.35 MB
International Journal of Computational Intelligence Systems, vol. 10, pp. 776-803, 2017.
Raciel Yera, Luis Martínez
A recommendation approach for programming online judges supported by data preprocessing techniques
10.1007/s10489-016-0892-x
Applied Intelligence, vol. 47, pp. 277-290, 2017.
Raciel Yera, Rosa María Rodríguez, Jorge Castro, Luis Martínez
A Recommender System for Supporting Students in Programming Online Judges
10.1007/978-3-319-59451-4
«A Recommender System for Supporting Students in Programming Online Judges», in 4th International Conference on Smart Education and E-Learning, 2017, vol. 75, pp. 215-224.
2016
Raciel Yera, Jorge Castro, Luis Martínez
A fuzzy model for managing natural noise in recommender systems
http://dx.doi.org/10.1016/j.asoc.2015.10.060
Applied Soft Computing, vol. 40, pp. 187-198, 2016.
Raciel Yera, Jorge Castro, Luis Martínez
An approach for natural noise management in recommender systems using fuzzy logic
10.1142/9789813146976_0019
«An approach for natural noise management in recommender systems using fuzzy logic», in 12th International FLINS Conference, 2016, pp. 99-104.
Luis Martínez, Jorge Castro, Raciel Yera
Managing Natural Noise in Recommender Systems
10.1007/978-3-319-49001-4
«Managing Natural Noise in Recommender Systems», in 5th International Conference on Theory and Practice of Natural Computing (TPNC 2016), 2016, pp. 3-17.
2015
Raciel Yera, Y Caballero, Luis Martínez
Correcting noisy ratings in collaborative recommender systems
publicado.pdf623.61 KB
Knowledge-based Systems, vol. 76, pp. 96-108, 2015.
2013
Raciel Yera, Luis Martínez, Y Caballero
Managing Natural Noise in Collaborative Recommender Systems
Martinez2013_IFSA.pdf547.21 KB
«Managing Natural Noise in Collaborative Recommender Systems», 2013, pp. 872-877.