RACIEL
YERA TOLEDO
PERSONAL INVESTIGADOR
Universidad de Ciego de Ávila Máximo Gómez Báez
Ciego de Ávila, CubaPublikationen in Zusammenarbeit mit Forschern von Universidad de Ciego de Ávila Máximo Gómez Báez (19)
2022
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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
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Natural Noise Management in Recommender Systems Using Fuzzy Tools
Studies in Computational Intelligence (Springer Verlag), pp. 1-24
2019
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A Health-Awareness Nutrition Recommender System
Proceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019
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A food recommender system considering nutritional information and user preferences
IEEE Access, Vol. 7, pp. 96695-96711
2018
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A fuzzy approach for natural noise management in group recommender systems
Expert Systems with Applications, Vol. 94, pp. 237-249
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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)
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A recommender system for programming online judges using fuzzy information modeling
Informatics, Vol. 5, Núm. 2
2017
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A recommendation approach for programming online judges supported by data preprocessing techniques
Applied Intelligence, Vol. 47, Núm. 2, pp. 277-290
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A recommender system for supporting students in programming online judges
Smart Innovation, Systems and Technologies
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An empirical study of natural noise management in group recommendation systems
Decision Support Systems, Vol. 94, pp. 1-11
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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
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Fuzzy tools in recommender systems: A survey
International Journal of Computational Intelligence Systems, Vol. 10, Núm. 1, pp. 776-803
2016
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A fuzzy model for managing natural noise in recommender systems
Applied Soft Computing Journal, Vol. 40, pp. 187-198
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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
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Managing natural noise in recommender systems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015
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Correcting noisy ratings in collaborative recommender systems
Knowledge-Based Systems, Vol. 76, pp. 96-108
2014
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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
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A regularity-based preprocessing method for collaborative recommender systems
Journal of Information Processing Systems, Vol. 9, Núm. 3, pp. 435-460
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Managing natural noise in collaborative recommender systems
Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013