An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves. - Christian Pieringer; Karim Pichara; Márcio Catelán; Pavlos Protopapas (CoRR, 2019)

Scalable End-to-end Recurrent Neural Network for Variable star classification. - Ignacio Becker; Karim Pichara; Márcio Catelán; Pavlos Protopapas; Carlos Aguirre; Fatemeh Nikzat (CoRR, 2020)

Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier. - Rodrigo Carrasco-Davis; Esteban Reyes; Camilo Valenzuela; Francisco Förster; Pablo A. Estévez; Giuliano Pignata; Franz E. Bauer; Ignacio Reyes; Paula Sánchez-Sáez; Guillermo Cabrera-Vives; Susana Eyheramendy; Márcio Catelán; et al. (CoRR, 2020)

Informative Bayesian model selection for RR Lyrae star classifiers. - Francisco Pérez-Galarce; Karim Pichara; Pablo Huijse; Márcio Catelán; Domingo Mery (CoRR, 2021)

Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift. - Francisco Pérez-Galarce; Karim Pichara; Pablo Huijse; Márcio Catelán; Domingo Mery (Astron. Comput., 2023)

Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories. - Manuel Pérez-Carrasco; Guillermo Cabrera-Vives; Lorena Hernández-García; Francisco Förster; Paula Sánchez-Sáez; Alejandra Muñoz Arancibia; Nicolás Astorga; Franz E. Bauer; Amelia Bayo; Martina Cádiz-Leyton; Márcio Catelán (CoRR, 2023)

A self-regulated convolutional neural network for classifying variable stars. - Francisco Pérez-Galarce; Jorge Martínez-Palomera; Karim Pichara; Pablo Huijse; Márcio Catelán (CoRR, 2025)

Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer. - Daniel Moreno-Cartagena; Guillermo Cabrera-Vives; Alejandra Muñoz Arancibia; Pavlos Protopapas; Francisco Förster; Márcio Catelán; Amelia Bayo; Pablo A. Estévez; Paula Sánchez-Sáez; Franz E. Bauer; M. Pavez-Herrera; Lorena Hernández-García; et al. (CoRR, 2025)