2019. Billy Peralta, Ariel Saavedra, Luis Alberto Caro, Alvaro Soto. Mixture of Experts with Entropic Regularization for Data Classification. Entropy Vol 21(2) 190

2016. Billy Peralta, Alberto Caro, Alvaro Soto. A Proposal of Supervised Clustering with Dirichlet Process with Labels. Journal Pattern Recognition Letters
Aceptado, en prensa.

2016. Billy Peralta, Alberto Caro. Improved Object Recognition with Decision Trees Using Subspace Clustering. Journal of Advanced Computational Intelligence and Intelligent Informatics Vol 20 (1) published online.

2014. Billy Peralta, Alvaro Soto. Embedded local Feature Selection within Mixture of Experts. Journal Information Sciences Vol 269, published online.

2013. Billy Peralta, Pablo Espinace, Alvaro Soto. Enhancing K-Means Using Class Labels. Journal Intelligent Data Analysis Vol 17 (6), published online.

2011. Billy Peralta, Alvaro Soto. Mixing Hierarchical Contexts for Object Recognition Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (ISI Conference Proceedings Citation Index – Science).

2019-2021.  Smart City Innovation towards Efficient Urban Spaces. INNOVACITY. Investigador

2015-2017. Reconocimiento de Objetos usando Aprendizaje de Máquinas en la era Big-Data. FONDECYT de Iniciación Nro 11140892. Investigador Principal

2012-2014. Medición de flujos y densidades espaciales de clientes en grandes tiendas de retail usando múltiples cámaras de video. FONDEF D10I1054
Investigador.

2009. Millennium Nucleus in Plant Functional Genomics. Millenium. Alumno doctoral/Investigador

2008-2009. A mobile robot using a decision theoretical planner based on Hierarchical and spatiotemporal reasoning to adaptively communicate relevant content. Fondecyt1070760. Alumno doctoral/Investigador