Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses by Aurora Esteban, Cristóbal Romero, Amelia Zafra

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Towards Portability of Models for Predicting Students’ Final Performance in University Courses Starting from Moodle Logs by Javier López-Zambrano, Juan A. Lara, Cristóbal Romero

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Aplicando minería de datos para descubrir rutas de aprendizaje frecuentes en Moodle by Alejandro Bogarín Vega, Cristóbal Romero Morales, Rebeca Cerezo Menéndez

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Construcción de cursos hipermedia adaptativos basados en Web utilizando AHA by Cristóbal Romero Morales, Sebastián Ventura Soto, Carlos de Castro

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Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets by Juan Luis Olmo, Cristóbal Romero, Eva Gibaja, Sebastián Ventura

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A Case-Study Comparison of Machine Learning Approaches for Predicting Student’s Dropout from Multiple Online Educational Entities by José Manuel Porras, Juan Alfonso Lara, Cristóbal Romero, Sebastián Ventura

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Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration United States of Americage Information by Pedro Espejo, Eva Gibaja, Victor Menéndez, Alfredo Zapata, Cristobal Romero

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KCTD5 and Ubiquitin Proteasome Signaling Are Required for Helicobacter pylori Adherence by Alhejandra Álvarez, Felipe Uribe, Jimena Canales, Cristóbal Romero, Andrea Soza, María A. Peña, Marcelo Antonelli, Oscar Almarza, Oscar Cerda, Oscar Cerda, Héctor Toledo

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