Artificial Neural Network techniques to distinguish children with Fetal Alcohol Spectrum Disorder from psychometric data. - Vannessa de J. Duarte (SCCC, 2020)

Agile Methodology and Service-Learning: : Experience in Engineering in Information and Management Control Students. - Vannessa de J. Duarte; Cristian Vidal 001; Sergio Contreras; Margareth Cleveland-Slimming (SCCC, 2021)

Detecting Fetal Alcohol Spectrum Disorder in children using Artificial Neural Network. - Vannessa de J. Duarte; Paul Leger; Sergio Contreras; Hiroaki Fukuda (CoRR, 2021)

Machine Learning and Marketing: A Systematic Literature Review. - Vannessa de J. Duarte; Sergio Zuniga-Jara; Sergio Contreras (IEEE Access, 2022)

Exploring Functionality and Efficiency of Feature Model Product Configuration Solutions. - Cristian Vidal Silva; Jesennia Cárdenas-Cobo; Aurora Sánchez-Ortiz; Vannessa de J. Duarte; Miguel Tupac-Yupanqui (IEEE Access, 2022)

Evaluations of Integrated Programming Environment for First-Year Students in Computer Engineering. - Matias Salinas; Paul Leger; Hiroaki Fukuda; Nicolás Cardozo; Vannessa de J. Duarte; Ismael Figueroa (J. Univers. Comput. Sci., 2023)

Information System Development by Using Agile Teamwork and Service-Learning. - Vannessa de J. Duarte; Margareth Cleveland-Slimming; Cristian Vidal 001; Sergio Contreras (IEEE Trans. Educ., 2023)

Wildfire Occurrence and Damage Dataset for Chile (1985-2024): A Real Data Resource for Early Detection and Prevention Systems. - Cristian Vidal Silva; Roberto Pizarro; Miguel Castillo-Soto; Claudia de la Fuente; Vannessa de J. Duarte; Claudia Sangüesa; Alfredo Ibañez; Rodrigo Paredes; Ben Ingram (Data, 2025)