Predicting academic performance of university students from multi-sources data in blended learning. - Wilson Chango; Rebeca Cerezo; Cristóbal Romero 001 (DATA, 2019)

Predicting students' performance using emotion detection from face-recording video when interacting with an ITS. - Wilson Chango; Miguel Sánchez-Santillán; Rebeca Cerezo; Cristóbal Romero 001 (EDM, 2020)

Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses. - Wilson Chango; Rebeca Cerezo; Cristóbal Romero 001 (Comput. Electr. Eng., 2021)

Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources. - Wilson Chango; Rebeca Cerezo; Miguel Sánchez-Santillán; Roger Azevedo; Cristóbal Romero 001 (J. Comput. High. Educ., 2021)

Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students. - Cristóbal Romero 001; Wilson Chango; Rebeca Cerezo (EDM, 2022)

A review on data fusion in multimodal learning analytics and educational data mining. - Wilson Chango; Juan Alfonso Lara; Rebeca Cerezo; Cristóbal Romero 001 (WIREs Data Mining Knowl. Discov., 2022)

Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses. - Wilson Chango; Rebeca Cerezo; C. Romero (CoRR, 2024)

Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources. - Wilson Chango; Rebeca Cerezo; Miguel Sánchez-Santillán; Roger Azevedo; C. Romero (CoRR, 2024)

Topologies in the Internet of Medical Things (IoMT), literature review. - Wilson Chango; Teresa Olivares; Francisc oDelicado (CoRR, 2024)