( en | de | ru )

 

Disambiguation of "Manrique, Rubén"

Author of the publication

copydeleteadd this publication to your clipboard
Investigating Learning Resources Precedence Relations via Concept Prerequisite Learning.

, , , , and . WI, page 198-205. IEEE Computer Society, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Rubén Tous

Matthias Manrique

Rubén Fernández-Busnadiego

Rubén Castillejos Guízar

Rubén López-Doncel

 

Other publications of authors with the same name

A Semantic Enhanced Course Recommender System via Knowledge Graphs for Limited User Information Scenarios., , and . SN Comput. Sci., 5 (1): 120 (January 2024)How does the size of a document affect linked open data user modeling strategies?, and . WI, page 1246-1252. ACM, (2017)Predicting Student Engagement Using Sequential Ensemble Model., , , and . IEEE Trans. Learn. Technol., (2024)Knowledge Graph-based Weighting Strategies for a Scholarly Paper Recommendation Scenario., and . KaRS@RecSys, volume 2290 of CEUR Workshop Proceedings, page 5-8. CEUR-WS.org, (2018)Enhancing Face Anti-spoofing Systems Through Synthetic Image Generation., and . ICAI, volume 1874 of Communications in Computer and Information Science, page 16-30. Springer, (2023)Towards automatic learning content sequence via linked open data.. WI, page 1230-1233. ACM, (2017)Exploring knowledge graphs for the identification of concept prerequisites., , and . Smart Learn. Environ., 6 (1): 21 (2019)Log mining for course recommendation in limited information scenarios., , , , and . EDM, International Educational Data Mining Society, (2022)Leave No One Behind - A Massive Online Learning Platform Free for Everyone., , , , and . AIED (Posters/Late Breaking Results/...), volume 1831 of Communications in Computer and Information Science, page 175-186. Springer, (2023)An Analysis of Student Representation, Representative Features and Classification Algorithms to Predict Degree Dropout., , , , and . LAK, page 401-410. ACM, (2019)