Pablo Huijse

Orcid: 0000-0003-3541-1697

According to our database1, Pablo Huijse authored at least 18 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift.
Astron. Comput., 2023

2021
Bayesian Reconstruction of Fourier Pairs.
IEEE Trans. Signal Process., 2021

Informative Bayesian model selection for RR Lyrae star classifiers.
CoRR, 2021

A Comparison of Convolutional Neural Networks for RR Lyrae Light Curve Classification.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

2020
MPCC: Matching Priors and Conditionals for Clustering.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
An Information Theory Approach on Deciding Spectroscopic Follow Ups.
CoRR, 2019

2018
Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detection.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Clustering of Astronomical Transient Candidates Using Deep Variational Embedding.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
Robust period estimation using mutual information for multi-band light curves in the synoptic survey era.
CoRR, 2017

2016
Sleep-spindle identification on EEG signals from polysomnographie recordings using correntropy.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Discriminating Variable Star Candidates in Large Image Databases from the HiTS Survey Using NMF.
Proceedings of the INNS Conference on Big Data 2015, 2015

2014
A Novel, Fully Automated Pipeline for Period Estimation in the EROS 2 Data Set.
CoRR, 2014

Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases.
IEEE Comput. Intell. Mag., 2014

K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

2012
An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves.
IEEE Trans. Signal Process., 2012

2011
Period Estimation in Astronomical Time Series Using Slotted Correntropy.
IEEE Signal Process. Lett., 2011

2010
Period detection in light curves from astronomical objects using correntropy.
Proceedings of the International Joint Conference on Neural Networks, 2010


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