Publicaciones en colaboración con investigadores/as de Universidad de Ciego de Ávila Máximo Gómez Báez (27)

2023

  1. A Systematic Review on Food Recommender Systems for Diabetic Patients

    International Journal of Environmental Research and Public Health, Vol. 20, Núm. 5

2022

  1. A fuzzy content-based group recommender system with dynamic selection of the aggregation functions

    International Journal of Approximate Reasoning, Vol. 150, pp. 273-296

  2. Contributions to data preprocessing for collaborative filtering recommender systems

    Anales de la Academia de Ciencias de Cuba, Vol. 12, Núm. 1

2021

  1. A Big Data Semantic Driven Context Aware Recommendation Method

    Advances in Intelligent Systems and Computing

  2. Content-based group recommender systems: A general taxonomy and further improvements

    Expert Systems with Applications, Vol. 184

2020

  1. Natural Noise Management in Recommender Systems Using Fuzzy Tools

    Studies in Computational Intelligence (Springer Verlag), pp. 1-24

2019

  1. A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items

    IEEE Access, Vol. 7, pp. 182664-182678

  2. A Health-Awareness Nutrition Recommender System

    Proceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019

  3. A food recommender system considering nutritional information and user preferences

    IEEE Access, Vol. 7, pp. 96695-96711

  4. Exploring fuzzy rating regularities for managing natural noise in collaborative recommendation

    International Journal of Computational Intelligence Systems, Vol. 12, Núm. 2, pp. 1382-1392

2018

  1. A fuzzy approach for natural noise management in group recommender systems

    Expert Systems with Applications, Vol. 94, pp. 237-249

  2. A fuzzy approach for recommending problems to solve in programming online judges

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. A recommender system for programming online judges using fuzzy information modeling

    Informatics, Vol. 5, Núm. 2

  4. On group recommendation supported by a minimum cost consensus model

    DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT

2017

  1. A recommendation approach for programming online judges supported by data preprocessing techniques

    Applied Intelligence, Vol. 47, Núm. 2, pp. 277-290

  2. A recommender system for supporting students in programming online judges

    Smart Innovation, Systems and Technologies

  3. An empirical study of natural noise management in group recommendation systems

    Decision Support Systems, Vol. 94, pp. 1-11

  4. Automatic detection of nutritional deficiencies in coffee tree leaves through shape and texture descriptors

    Journal of Digital Information Management, Vol. 15, Núm. 1, pp. 7-18

  5. Fuzzy tools in recommender systems: A survey

    International Journal of Computational Intelligence Systems, Vol. 10, Núm. 1, pp. 776-803

2016

  1. A fuzzy model for managing natural noise in recommender systems

    Applied Soft Computing Journal, Vol. 40, pp. 187-198