Detección automática de engaño en notas de opinión a partir de técnicas de perfilado de autores. - Jonathan Serrano-Pérez; Javier Sánchez-Junquera; Hugo Jair Escalante Balderas; Luis Villaseñor Pineda (Res. Comput. Sci., 2018)

Hierarchical Classification With Bayesian Networks and Chained Classifiers. - Jonathan Serrano-Pérez; Luis Enrique Sucar (FLAIRS, 2019)

PGM_PyLib: A Toolkit for Probabilistic Graphical Models in Python. - Jonathan Serrano-Pérez; Luis Enrique Sucar (PGM, 2020)

Artificial datasets for hierarchical classification. - Jonathan Serrano-Pérez; Luis Enrique Sucar (Expert Syst. Appl., 2021)

Semi-supervised Hierarchical Classification Based on Local Information. - Jonathan Serrano-Pérez; Luis Enrique Sucar (IBERAMIA, 2022)

Application of the LDA Model for Obtaining Topics from the WIKICORPUS. - Gerardo Martínez Guzmán; María Beatríz Bernábe-Loranca; Carmen Cerón-Garnica; Jonathan Serrano-Pérez; Etelvina Archundia-Sierra (Computación y Sistemas, 2022)

Semi-supervised Hierarchical Bayesian Multi-label Classification. - Jonathan Serrano-Pérez; Luis Enrique Sucar (IBERAMIA, 2024)

Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies. - Jonathan Serrano-Pérez; Raquel Díaz-Hernández; Luis Enrique Sucar (CoRR, 2024)

A semi-supervised hierarchical classifier based on local information. - Jonathan Serrano-Pérez; Luis Enrique Sucar (Pattern Anal. Appl., 2024)

Semi-supervised hierarchical multi-label classifier based on local information. - Jonathan Serrano-Pérez; Luis Enrique Sucar (Int. J. Approx. Reason., 2025)