Period detection in light curves from astronomical objects using correntropy. - Pablo A. Estévez; Pablo Huijse; Pablo Zegers; José C. Príncipe; Pavlos Protopapas (IJCNN, 2010)

Period Estimation in Astronomical Time Series Using Slotted Correntropy. - Pablo Huijse; Pablo A. Estévez; Pablo Zegers; José Carlos Príncipe; Pavlos Protopapas (IEEE Signal Process. Lett., 2011)

An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves. - Pablo Huijse; Pablo A. Estévez; Pavlos Protopapas; Pablo Zegers; José Carlos Príncipe (IEEE Trans. Signal Process., 2012)

K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models. - David Nova; Pablo A. Estévez; Pablo Huijse (WSOM, 2014)

Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases. - Pablo Huijse; Pablo A. Estévez; Pavlos Protopapas; José C. Príncipe; Pablo Zegers (IEEE Comput. Intell. Mag., 2014)

A Novel, Fully Automated Pipeline for Period Estimation in the EROS 2 Data Set. - Pavlos Protopapas; Pablo Huijse; Pablo A. Estévez; Pablo Zegers; José C. Príncipe (CoRR, 2014)

Discriminating Variable Star Candidates in Large Image Databases from the HiTS Survey Using NMF. - Pablo Huijse; Pablo A. Estévez; Francisco Förster; Emanuel Berrocal (INNS Conference on Big Data, 2015)

Sleep-spindle identification on EEG signals from polysomnographie recordings using correntropy. - Sebastian Ulloa; Pablo A. Estévez; Pablo Huijse; Claudio M. Held; Claudio A. Perez; Rodrigo Chamorro; Marcelo Garrido; Cecilia Algarin; Patricio Peirano (EMBC, 2016)

Robust period estimation using mutual information for multi-band light curves in the synoptic survey era. - Pablo Huijse; Pablo A. Estévez; Francisco Förster; Scott F. Daniel; Andrew J. Connolly; Pavlos Protopapas; Rodrigo Carrasco; José C. Príncipe (CoRR, 2017)

Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders. - Pablo Huijse; Nicolas Astorga; Pablo A. Estévez; Giuliano Pignata (ESANN, 2018)

Clustering of Astronomical Transient Candidates Using Deep Variational Embedding. - Nicolas Astorga; Pablo Huijse; Pablo A. Estévez; Francisco Förster (IJCNN, 2018)

Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detection. - Esteban Reyes; Pablo A. Estévez; Ignacio Reyes; Guillermo Cabrera-Vives; Pablo Huijse; Rodrigo Carrasco; Francisco Förster (IJCNN, 2018)

An Information Theory Approach on Deciding Spectroscopic Follow Ups. - Javiera Astudillo; Pavlos Protopapas; Karim Pichara; Pablo Huijse (CoRR, 2019)

MPCC: Matching Priors and Conditionals for Clustering. - Nicolás Astorga; Pablo Huijse; Pavlos Protopapas; Pablo A. Estévez (ECCV (23), 2020)

A Comparison of Convolutional Neural Networks for RR Lyrae Light Curve Classification. - Alfredo Morales; Javier Rojas; Pablo Huijse; Rodrigo Contreras Ramos (LA-CCI, 2021)

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

Bayesian Reconstruction of Fourier Pairs. - Felipe A. Tobar; Lerko Araya-Hernández; Pablo Huijse; Petar M. Djuric (IEEE Trans. Signal Process., 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)

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