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
Expert Systems with Applications, vol. 246, p. 123066, 2024.
 https://doi.org/10.1016/j.eswa.2023.123066 published_6.pdf2.4 MB

2023

Raciel Yera, Rosa María Rodríguez, Luis Martínez Exploring the Automatic Selection of Aggregation Methods in Group Recommendation
«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.
 10.1007/978-3-031-39965-7_13 2023-Yera et al-LNCS.pdf923.71 KB
Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks
Knowledge-Based Systems, vol. 280, p. 111016, 2023.
 https://doi.org/10.1016/j.knosys.2023.111016 Publicado_GANRS_2023_KBS.pdf3.1 MB
Raciel Yera, Ahmad A. Alzahrani, Luis Martínez, Rosa María Rodríguez A Systematic Review on Food Recommender Systems for Diabetic Patients
International Journal of Environmental Research and Public Health , vol. 20, p. 4248, 2023.
 10.3390/ijerph20054248 2023-Yera et al-ijerph-20-04248.pdf784.35 KB

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
Knowledge-Based Systems, vol. 251, p. 109216, 2022.
 https://doi.org/10.1016/j.knosys.2022.109216 2022_knosys_exp_RS.pdf953.53 KB
Raciel Yera, Ahmad A. Alzahrani, Luis Martínez A fuzzy content-based group recommender system with dynamic selection of the aggregation functions
International Journal of Approximate Reasoning, vol. 150, pp. 273-296, 2022.
 https://doi.org/10.1016/j.ijar.2022.08.015 1-s2.0-S0888613X2200127X-main.pdf1.83 MB

2021

Yilena Pérez-Almaguer, Raciel Yera, A. A. Alzahrani, Luis Martínez Content-based group recommender systems: a general taxonomy and further improvements
Expert Systems with Applications, vol. 184, p. 115444, 2021.
 https://doi.org/10.1016/j.eswa.2021.115444 Perez_Yera_etal_ESWA2021_ContentBased.pdf1.98 MB

2020

Raciel Yera, Jorge Castro, Luis Martínez "Natural Noise Management in Recommender Systems Using Fuzzy Tools"
«"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.
 "10.1007/978-3-030-23760-8_1"
Manuel José Barranco, Pedro José Sánchez, Jorge Castro, Raciel Yera A Big Data Semantic Driven Context Aware Recommendation Method
«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.
 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

2019

Raciel Yera, A. A. Alzahrani, Luis Martínez A food recommender system considering nutritional information and user preferences
IEEE Access, vol. 7, n.º 1, pp. 96695-96711, 2019.
 10.1109/ACCESS.2019.2929413 On-line-food-nutrition.pdf8.72 MB
Raciel Yera, Manuel José Barranco, A. A. Alzahrani, Luis Martínez Exploring Fuzzy Rating Regularities for Managing Natural Noise in Collaborative Recommendation
International Journal of Computational Intelligence Systems, vol. 12, n.º 2, pp. 1382 - 1392, 2019.
 https://doi.org/10.2991/ijcis.d.191115.001 125923236-publicado.pdf748.26 KB
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
IEEE Access, vol. 7, n.º 1, pp. 182664-182678, 2019.
 10.1109/ACCESS.2019.2957881 08924671-published.pdf2.57 MB
Raciel Yera, Luis Martínez A health-awareness nutrition recommender system
«A health-awareness nutrition recommender system», in IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, 14th-16th November, 2019, pp. 36-42.
 10.1109/ISKE47853.2019.9170432 2019-Yera et al.pdf160.91 KB

2018

Jorge Castro, Raciel Yera, Luis Martínez A fuzzy approach for natural noise management in group recommender systems
Expert Systems with Applications, vol. 94, pp. 237-249, 2018.
 https://doi.org/10.1016/j.eswa.2017.10.060
Raciel Yera, Álvaro Labella, Jorge Castro, Luis Martínez On group recommendation supported by a minimum cost consensus model
«On group recommendation supported by a minimum cost consensus model», in 13th International FLINS conference, 2018, vol. 11, pp. 227-234.
 https://doi.org/10.1142/9789813273238_0031 2018-Yera-FLINS.pdf256.24 KB
Raciel Yera, Yailé Caballero Mota, Luis Martínez A Recommender System for Programming Online Judges Using Fuzzy Information Modeling
Informatics, vol. 5, 2018.
 10.3390/informatics5020017 informatics-05-00017.pdf860.74 KB

2017

Jorge Castro, Raciel Yera, Luis Martínez An empirical study of natural noise management in group recommendation systems
Decision Support Systems, vol. 94, pp. 1-11, 2017.
 http://dx.doi.org/10.1016/j.dss.2016.09.020
Raciel Yera, Luis Martínez Fuzzy Tools in Recommender Systems: A Survey
International Journal of Computational Intelligence Systems, vol. 10, pp. 776-803, 2017.
 ijcis_10_776_803.pdf2.35 MB
Raciel Yera, Luis Martínez A recommendation approach for programming online judges supported by data preprocessing techniques
Applied Intelligence, vol. 47, pp. 277-290, 2017.
 10.1007/s10489-016-0892-x
Raciel Yera, Rosa María Rodríguez, Jorge Castro, Luis Martínez A Recommender System for Supporting Students in Programming Online Judges
«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.
 10.1007/978-3-319-59451-4

2016

Raciel Yera, Jorge Castro, Luis Martínez A fuzzy model for managing natural noise in recommender systems
Applied Soft Computing, vol. 40, pp. 187-198, 2016.
 http://dx.doi.org/10.1016/j.asoc.2015.10.060
Raciel Yera, Jorge Castro, Luis Martínez An approach for natural noise management in recommender systems using fuzzy logic
«An approach for natural noise management in recommender systems using fuzzy logic», in 12th International FLINS Conference, 2016, pp. 99-104.
 10.1142/9789813146976_0019
Luis Martínez, Jorge Castro, Raciel Yera Managing Natural Noise in Recommender Systems
«Managing Natural Noise in Recommender Systems», in 5th International Conference on Theory and Practice of Natural Computing (TPNC 2016), 2016, pp. 3-17.
 10.1007/978-3-319-49001-4

2015

Raciel Yera, Y Caballero, Luis Martínez Correcting noisy ratings in collaborative recommender systems
Knowledge-based Systems, vol. 76, pp. 96-108, 2015.
 publicado.pdf623.61 KB
Raciel Yera, Yailé Caballero Mota, Luis Martínez Métodos de preprocesamiento de datos para sistemas recomendadores de filtrado colaborativo, con aplicación en un escenario de e-learning
Santa Clara: , 2015.
 tesis Raciel final.pdf2.55 MB

2013

Raciel Yera, Luis Martínez, Y Caballero Managing Natural Noise in Collaborative Recommender Systems
«Managing Natural Noise in Collaborative Recommender Systems», 2013, pp. 872-877.
 Martinez2013_IFSA.pdf547.21 KB