Publicaciones en colaboración con investigadores/as de Universidad de Ciego de Ávila Máximo Gómez Báez (20)

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

2020

  1. Natural Noise Management in Recommender Systems Using Fuzzy Tools

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

2019

  1. A Health-Awareness Nutrition Recommender System

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

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

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

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

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

  2. An approach for natural noise management in recommender systems using fuzzy logic

    Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016

  3. Managing natural noise in recommender systems

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

2015

  1. Correcting noisy ratings in collaborative recommender systems

    Knowledge-Based Systems, Vol. 76, pp. 96-108

  2. DESARROLLO Y APLICACIÓN DE TÉCNICAS DE INTELIGENCIA COMPUTACIONAL

    Anales de la Academia de Ciencias de Cuba, Vol. 5, Núm. 3

2014

  1. An e-Learning collaborative filtering approach to suggest problems to solve in programming online judges

    International Journal of Distance Education Technologies, Vol. 12, Núm. 2, pp. 51-65

2013

  1. A regularity-based preprocessing method for collaborative recommender systems

    Journal of Information Processing Systems, Vol. 9, Núm. 3, pp. 435-460

  2. Managing natural noise in collaborative recommender systems

    Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013