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Raciel Yera
Miembro
Universidad de Jaén (España)
yeratoledo@gmail.com
+34 953214212
Raciel Yera es actualmente Investigador Postdoctoral Marie Curie en la Universidad de Jaén. Previamente ha sido profesor en el Departamento de Ciencias Informáticas en la Universidad de Ciego de Ávila, Cuba (2012-2022), y posteriormente Investigador Postdoctoral María Zambrano (2022-2024). Es Doctor en Ciencias Técnicas desde 2016, siendo su principal área de investigación la personalización y los sistemas de recomendación. Ha presentado su trabajo en revistas y conferencias reconocidas, como Knowledge-Based Systems, Decision Support Systems, Applied Soft Computing, o la conferencia User Modeling, Adaptation, and Personalization (UMAP).
Publicaciones
Solo se muestran los años con publicaciones disponibles:
- Cualquiera -Articulos revistaCapitulos de librosCongreso internacionalCongresos NacionalesLibrosRevista Nacional
2024
Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach
EXPERT SYSTEMS WITH APPLICATIONS, vol. 246, year. 2024, DOI: 10.1016/j.eswa.2023.123066
Natural noise management in collaborative recommender systems over time-related information
JOURNAL OF SUPERCOMPUTING, vol. 80, year. 2024, pág. 23628–23666, DOI: 10.1007/s11227-024-06267-7
Una revisión sistemática sobre el uso de gamificación en la enseñanza de la programación
XV Workshop in Operations Management and Technology, Linares, Jaén (Spain), 14 – 16 de Marzo, year. 2024
2023
Exploring the Automatic Selection of Aggregation Methods in Group Recommendation
13th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2023, Palma (Spain), September 4-8th, year. 2023, pág. 149–160, Springer, DOI: 10.1007/978-3-031-39965-7_13
2022
A fuzzy content-based group recommender system with dynamic selection of the aggregation functions
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 150, year. 2022, pág. 273–296, DOI: 10.1016/j.ijar.2022.08.015
Exploring post-hoc agnostic models for explainable cooking recipe recommendations
KNOWLEDGE-BASED SYSTEMS, vol. 251, year. 2022, DOI: 10.1016/j.knosys.2022.109216
Recomendación a grupos basada en un modelo de consenso de mínimo costo
Marketing Digital y Big Data, year. 2022, pág. 45-65, Funcas
Recomendación a grupos basada en un modelo de consenso de mínimo costo
Marketing Digital y Big Data, year. 2022, pág. 45-65, Funcas
2021
Content-based group recommender systems: A general taxonomy and further improvements
EXPERT SYSTEMS WITH APPLICATIONS, vol. 184, year. 2021, DOI: 10.1016/j.eswa.2021.115444
2019
A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items
IEEE ACCESS, vol. 7, year. 2019, pág. 182664–182678, DOI: 10.1109/ACCESS.2019.2957881
A Food Recommender System Considering Nutritional Information and User Preferences
IEEE ACCESS, vol. 7, year. 2019, pág. 96695–96711, DOI: 10.1109/ACCESS.2019.2929413
A health-awareness nutrition recommender system
IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, 14th-16th November, year. 2019, pág. 36-42, DOI: 10.1109/ISKE47853.2019.9170432
Exploring Fuzzy Rating Regularities for Managing Natural Noise in Collaborative Recommendation
INTERNATIONAL JOURNAL OF COMPUTATIONAL IN℡LIGENCE SYSTEMS, vol. 12, year. 2019, pág. 1382–1392, DOI: 10.2991/ijcis.d.191115.001
2018
A fuzzy approach for natural noise management in group recommender systems
EXPERT SYSTEMS WITH APPLICATIONS, vol. 94, year. 2018, pág. 237–249, DOI: 10.1016/j.eswa.2017.10.060
On group recommendation supported by a minimum cost consensus model
13th International FLINS conference, vol. 11, year. 2018, pág. 227-234, World Scientific, DOI: https://doi.org/10.1142/9789813273238_0031
2017
A recommendation approach for programming online judges supported by data preprocessing techniques
APPLIED IN℡LIGENCE, vol. 47, year. 2017, pág. 277–290, DOI: 10.1007/s10489-016-0892-x
A Recommender System for Supporting Students in Programming Online Judges
4th International Conference on Smart Education and E-Learning, vol. 75, year. 2017, pág. 215-224, Springer, DOI: 10.1007/978-3-319-59451-4
An empirical study of natural noise management in group recommendation systems
DECISION SUPPORT SYSTEMS, vol. 94, year. 2017, pág. 1–11, DOI: 10.1016/j.dss.2016.09.020
Fuzzy Tools in Recommender Systems: A Survey
INTERNATIONAL JOURNAL OF COMPUTATIONAL IN℡LIGENCE SYSTEMS, vol. 10, year. 2017, pág. 776–803, DOI: 10.2991/ijcis.2017.10.1.52
2016
A fuzzy model for managing natural noise in recommender systems
APPLIED SOFT COMPUTING, vol. 40, year. 2016, pág. 187–198, DOI: 10.1016/j.asoc.2015.10.060
An approach for natural noise management in recommender systems using fuzzy logic
12th International FLINS Conference, year. 2016, pág. 99-104, World Scientific, DOI: 10.1142/9789813146976_0019
Managing Natural Noise in Recommender Systems
5th International Conference on Theory and Practice of Natural Computing (TPNC 2016), year. 2016, pág. 3-17, Springer, DOI: 10.1007/978-3-319-49001-4
2015
Correcting noisy ratings in collaborative recommender systems
KNOWLEDGE-BASED SYSTEMS, vol. 76, year. 2015, pág. 96–108, DOI: 10.1016/j.knosys.2014.12.011
2013
Managing Natural Noise in Collaborative Recommender Systems
year. 2013, pág. 872-877, 2013 Joint IFSA World Congress - NAFIPS Annual Meeting