Driver intent data analysis & classification. - Luis Oswaldo Valencia-Rosado; David Rojas-Velazquez; Gibran Etcheverry (CONIELECOMP, 2018)

Newborn cry nonlinear features extraction and classification. - Lizbeth Peralta-Malváez; Omar Lopez-Rincon; David Rojas-Velazquez; Luis Oswaldo Valencia-Rosado; Roberto Rosas-Romero; Gibran Etcheverry (J. Intell. Fuzzy Syst., 2018)

Multi-objective Evolutionary Discretization of Gene Expression Profiles: Application to COVID-19 Severity Prediction. - David Rojas-Velazquez; Alberto Tonda; Itzel Rodríguez-Guerra; Aletta D. Kraneveld; Alejandro Lopez Rincon (EvoApplications@EvoStar, 2023)

Bayesian Optimization for the Inverse Problem in Electrocardiography. - Alejandro Lopez Rincon; David Rojas-Velazquez; Johan Garssen; Sander W. Van der Laan; Daniel L. Oberski; Alberto Tonda (SSCI, 2023)

Machine-Learning Analysis of mRNA: An Application to Inflammatory Bowel Disease. - David Rojas-Velazquez; Sarah Kidwai; Luciënne de Vries; Péter Tözsér; Luis Oswaldo Valencia-Rosado; Johan Garssen; Alberto Tonda; Alejandro Lopez Rincon (HSI, 2024)

Image Generation with Interactive Evolutionary System using Bayesian Optimization. - Y. Dianey Rueda-Arango; David Rojas-Velazquez; Aleksandra V. Gorelova; Johan Garssen; Alberto Tonda; Alejandro Lopez Rincon (HSI, 2024)

Exploring Human Perception of AI-Generated Artworks. - Y. Dianey Rueda-Arango; David Rojas-Velazquez; Aleksandra V. Gorelova; Alejandro Lopez Rincon (ISTAS, 2024)

Methodology for biomarker discovery with reproducibility in microbiome data using machine learning. - David Rojas-Velazquez; Sarah Kidwai; Aletta D. Kraneveld; Alberto Tonda; Daniel L. Oberski; Johan Garssen; Alejandro Lopez Rincon (BMC Bioinform., 2024)