yeratoledo

Posición
Colaboradores Invitados
Descripción

Raciel Yera Toledo graduado con título de oro de Ingeniero en Ciencias Informáticas y de Máster en Informática Aplicada en 2010 y 2012
respectivamente. En estos momentos se encuentra terminando sus estudios de doctorado en Ciencias Técnicas, especialidad Informática.
Actualmente es profesor de informática en la Universidad de Ciego de Ávila, Cuba. Sus intereses principales de investigación incluyen los
sistemas recomendadores y su aplicación a escenarios de e-learning. Recibió un Premio Anual Provincial de la Academia de Ciencias de Cuba
en el año 2013 por resultados asociados a esta línea de investigación.

ID ORCID

0000-0001-9759-261X

Publicaciones

A Recommender System for Supporting Students in Programming Online Judges Smart Education and e-Learning 2017 , 2017 | Otros DOI: 10.1007/978-3-319-59451-4_21
A recommendation approach for programming online judges supported by data preprocessing techniques Applied Intelligence , 2017 | Artículo de revista DOI: 10.1007/s10489-016-0892-x EID: 2-s2.0-85014573642 URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-85014573642&partnerID=MN8TOARS
An empirical study of natural noise management in group recommendation systems Decision Support Systems , 2017 | Artículo de revista DOI: 10.1016/j.dss.2016.09.020 EID: 2-s2.0-85001720294 URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-85001720294&partnerID=MN8TOARS
Automatic detection of nutritional deficiencies in coffee tree leaves through shape and texture descriptors Journal of Digital Information Management , 2017 | Artículo de revista EID: 2-s2.0-85016474670 URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-85016474670&partnerID=MN8TOARS
Fuzzy Tools in Recommender Systems: A Survey International Journal of Computational Intelligence Systems , 2017 | Artículo de revista DOI: 10.2991/ijcis.2017.10.1.52
An empirical study of natural noise management in group recommendation systems Decision Support Systems , 2016 | Artículo de revista DOI: 10.1016/j.dss.2016.09.020
AN APPROACH FOR NATURAL NOISE MANAGEMENT IN RECOMMENDER SYSTEMS USING FUZZY LOGIC Uncertainty Modelling in Knowledge Engineering and Decision Making , 2016 | Congreso DOI: 10.1142/9789813146976_0019
A fuzzy model for managing natural noise in recommender systems Applied Soft Computing , 2016 | Artículo de revista DOI: 10.1016/j.asoc.2015.10.060
A fuzzy model for managing natural noise in recommender systems Applied Soft Computing Journal , 2016 | Artículo de revista DOI: 10.1016/j.asoc.2015.10.060 EID: 2-s2.0-84950122489 URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84950122489&partnerID=MN8TOARS
Managing Natural Noise in Recommender Systems Theory and Practice of Natural Computing , 2016 | Otros DOI: 10.1007/978-3-319-49001-4_1
Managing natural noise in recommender systems Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2016 | Libro DOI: 10.1007/978-3-319-49001-4_1 EID: 2-s2.0-85005990055 URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-85005990055&partnerID=MN8TOARS
Correcting noisy ratings in collaborative recommender systems Knowledge-Based Systems , 2015 | Artículo de revista DOI: 10.1016/j.knosys.2014.12.011 EID: 2-s2.0-84923114888 URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84923114888&partnerID=MN8TOARS
An e-Learning collaborative filtering approach to suggest problems to solve in programming online judges International Journal of Distance Education Technologies , 2014 | Artículo de revista DOI: 10.4018/ijdet.2014040103 EID: 2-s2.0-84924351355 URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84924351355&partnerID=MN8TOARS
Managing natural noise in collaborative recommender systems 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS) , 2013 | Congreso DOI: 10.1109/ifsa-nafips.2013.6608515
A regularity-based preprocessing method for collaborative recommender systems Journal of Information Processing Systems , 2013 | Artículo de revista DOI: 10.3745/JIPS.2013.9.3.435 EID: 2-s2.0-84886790480 URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84886790480&partnerID=MN8TOARS
Managing natural noise in collaborative recommender systems Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 , 2013 | Congreso DOI: 10.1109/IFSA-NAFIPS.2013.6608515 EID: 2-s2.0-84886551476 URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84886551476&partnerID=MN8TOARS