| Computational intelligence challenges and applications on large-scale astronomical time series databases P Huijse, PA Estevez, P Protopapas, JC Principe, P Zegers IEEE Computational Intelligence Magazine 9 (3), 27-39, 2014 | 57 | 2014 |
| An information theoretic algorithm for finding periodicities in stellar light curves P Huijse, PA Estevez, P Protopapas, P Zegers, JC Principe IEEE Transactions on Signal Processing 60 (10), 5135-5145, 2012 | 42 | 2012 |
| The High Cadence Transient Survey (HITS). I. Survey design and supernova shock breakout constraints F Förster, JC Maureira, J San Martín, M Hamuy, J Martínez, P Huijse, ... The Astrophysical Journal 832 (2), 155, 2016 | 40 | 2016 |
| Period estimation in astronomical time series using slotted correntropy P Huijse, PA Estévez, P Zegers, JC Príncipe, P Protopapas IEEE Signal Processing Letters 18 (6), 371-374, 2011 | 29 | 2011 |
| The delay of shock breakout due to circumstellar material evident in most type II supernovae F Förster, TJ Moriya, JC Maureira, JP Anderson, S Blinnikov, F Bufano, ... Nature Astronomy 2 (10), 808-818, 2018 | 23 | 2018 |
| A novel, fully automated pipeline for period estimation in the eros 2 data set P Protopapas, P Huijse, PA Estevez, P Zegers, JC Principe, JB Marquette The Astrophysical Journal Supplement Series 216 (2), 25, 2015 | 15 | 2015 |
| Proper motions in the VVV Survey: Results for more than 15 million stars across NGC 6544 RC Ramos, M Zoccali, F Rojas, A Rojas-Arriagada, M Gárate, P Huijse, ... Astronomy & Astrophysics 608, A140, 2017 | 13 | 2017 |
| The VVV Survey RR Lyrae Population in the Galactic Center Region RC Ramos, D Minniti, F Gran, M Zoccali, J Alonso-García, P Huijse, ... The Astrophysical Journal 863 (1), 79, 2018 | 10 | 2018 |
| The High Cadence Transit Survey (HiTS): Compilation and Characterization of Light-curve Catalogs J Martínez-Palomera, F Förster, P Protopapas, JC Maureira, P Lira, ... The Astronomical Journal 156 (5), 186, 2018 | 7 | 2018 |
| Robust Period Estimation Using Mutual Information for Multiband Light Curves in the Synoptic Survey Era P Huijse, PA Estévez, F Förster, SF Daniel, AJ Connolly, P Protopapas, ... The Astrophysical Journal Supplement Series 236 (1), 12, 2018 | 7 | 2018 |
| Deep Learning for Image Sequence Classification of Astronomical Events R Carrasco-Davis, G Cabrera-Vives, F Förster, PA Estévez, P Huijse, ... Publications of the Astronomical Society of the Pacific 131 (1004), 108006, 2019 | 5 | 2019 |
| Enhanced rotational invariant convolutional neural network for supernovae detection E Reyes, PA Estévez, I Reyes, G Cabrera-Vives, P Huijse, R Carrasco, ... 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 5 | 2018 |
| Asteroids in the High Cadence Transient Survey J Peńa, C Fuentes, F Förster, JC Maureira, J San Martín, J Littín, P Huijse, ... The Astronomical Journal 155 (3), 135, 2018 | 5 | 2018 |
| HiTS real-time supernova detections F Forster, JC Maureira, G Pignata, J Martinez, G Medina, L Galbany, ... The Astronomer's Telegram 7122, 2015 | 5 | 2015 |
| When nature tries to trick us-An eclipsing eccentric close binary superposed on the central star of the planetary nebula M 3-2 HMJ Boffin, D Jones, R Wesson, Y Beletsky, B Miszalski, I Saviane, ... Astronomy & Astrophysics 619, A84, 2018 | 4 | 2018 |
| Period detection in light curves from astronomical objects using correntropy PA Estévez, P Huijse, P Zegers, JC Principe, P Protopapas The 2010 International Joint Conference on Neural Networks (IJCNN), 1-7, 2010 | 4 | 2010 |
| Sleep-spindle identification on EEG signals from polysomnographie recordings using correntropy S Ulloa, PA Estevez, P Huijse, CM Held, CA Perez, R Chamorro, ... 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 3 | 2016 |
| Optical spectrosopy of SNHiTS15D (Daniela) and SNHiTS15P (Rosemary) J Anderson, F Bufano, F Forster, JC Maureira, S Gonzalez-Gaitan, ... The Astronomer's Telegram 7162, 2015 | 3 | 2015 |
| Discriminating Variable Star Candidates in Large Image Databases from the HiTS Survey Using NMF. P Huijse, PA Estévez, F Förster, E Berrocal INNS Conference on Big Data, 29-38, 2015 | 3 | 2015 |
| Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders. P Huijse, N Astorga, PA Estévez, G Pignata ESANN, 2018 | 2 | 2018 |
Pablo EstevezDepartment of Electrical Engineering, University of ChileVerified email at cec.uchile.cl
