Collaborations are essential for performing high quality and frontier research. Beyond our main institutions, we have collaborate with diverse teams, usually in transdisciplinary research efforts. Some of our most important collaborations and respective outputs have been:
With the Explainable Artificial Intelligence Research Group at Maastricht University, The Netherlands:
-Waterschoot, C. , Yera, R. , Tintarev, N., & Barile, F. (2025). With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations. Proceedings of 33rd ACM International Conference on User Modeling, Adaptation and Personalization. ACM.
With the R&D Division at Ayesa Servicios Digitales Avanzados S.L., Spain:
-Yera, R. , Dutta, B., Martínez, F.J. & Martínez, L. (2025). Characterizing provider fairness in a content-based e-service recommender system. Proceedings of 7th International Conference on Intelligent and Fuzzy Systems. Springer
With KNODIS research group at Polytechnic University of Madrid, Spain:
-Bobadilla, J., Gutiérrez, A., Yera, R., & Martínez, L. (2023). Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks. Knowledge-Based Systems, 280, 111016.
With the Artificial Intelligence Research Group at University of Camagüey, Cuba:
-Yera, R. , Caballero-Mota, Y. , & Martínez, L. (2015). Correcting noisy ratings in collaborative recommender systems. Knowledge-Based Systems, 76, 96-108.
-Yera, R., & Caballero-Mota, Y. (2018). A Fuzzy Approach for Recommending Problems to Solve in Programming Online Judges. In Advances in Soft Computing: 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Enseneda, Mexico, October 23-28, 2017, Proceedings, Part I 16 (pp. 208-220). Springer International Publishing.
-Yera Toledo, R., Caballero Mota, Y., Castro Gallardo, J., & Martínez López, L. (2022). Métodos de procesamiento de datos para sistemas recomendadores de filtrado colaborativo. Anales de la Academia de Ciencias de Cuba, 12(1).
With the Department of Touristic Management at University of Holguín, Cuba:
-Pérez-Almaguer, Y., Yera, R., Alzahrani, A. A., & Martínez, L. (2021). Content-based group recommender systems: A general taxonomy and further improvements. Expert Systems with Applications, 184, 115444.
-Pérez-Almaguer, Y., Carballo-Cruz, E., Caballero-Mota, Y., & Yera, R. (2024). Exploring content-based group recommendation for suggesting restaurants in Havana City. JUCS: Journal of Universal Computer Science, 30(1).
With the Department of Human Geography (Research Group HUM 355), at University of Granada, Spain
-Carballo-Cruz, E., Yera, R., Maroto-Martos, J. C., & Pinos-Navarrete, A. (2024). Spa tourism in Spain nowadays: Current state and opportunities. Cuadernos de turismo, (54), 201-220.
-Carballo-Cruz, E. , Yera, R., Maroto-Martos, J. C., & Pinos-Navarrete, A. (2024). Hacia la innovación turística en la hotelería: producto Diamond Club en la cayería norte de Cuba. Pasos: Revista de Turismo y Patrimonio Cultural, 22(4), 737-753.
With the Computing Research Group at Señor de Sipán University, Perú:
-Alcarazo-Ibáñez, F., Tuesta-Monteza, V., Mejía-Cabrera, H. I., Callejas, J. C., & Yera, R. (2020). Clasificación automática de Limón Sutil peruano (citrus aurantifolia) usando máquinas de vectores de soporte. Revista de Ciencia y Tecnología, (34), 1-10.