1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ChileCL9 papers
- Center for Astrophysics Harvard & SmithsonianUS3 papers
- Harvard UniversityUS3 papers
- Universidad de Los Andes, ChileCL3 papers
- University of FloridaUS3 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- Delft University of TechnologyNL1 paper
- Institut d'Astrophysique de ParisFR1 paper
- KTH Royal Institute of TechnologySE1 paper
- Millennium Institute of AstrophysicsCL1 paper
- Stockholm UniversitySE1 paper
- Universidad de AntofagastaCL1 paper
9 papers
A review on steeply inclined settlers for water clarification
Cristian Reyes, Fernando Apaz, Yarko Niño +3
Steeply inclined settlers (SIS) are solid-liquid separators that feature close, inclined confining elements that allow significant settling enhancement when compared to vertical ta…
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach
Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar +1
Deep Reinforcement Learning (DRL) has become a powerful methodology to solve complex decision-making problems. However, DRL has several limitations when used in real-world problems…
The NAO Backpack: An Open-hardware Add-on for Fast Software Development with the NAO Robot
Matías Mattamala, Gonzalo Olave, Clayder González +2
We present an open-source accessory for the NAO robot, which enables to test computationally demanding algorithms in an external platform while preserving robot's autonomy and mobi…
Robustness and convergence of fractional systems and their applications to adaptive systems
Javier A. Gallegos, Manuel A. Duarte-Mermoud
Our general aim is to give sufficient conditions for robustness behavior and convergence to the equilibrium point of linear time-varying fractional system's solutions. We approach…
A Review of Feature Selection Methods Based on Mutual Information
Jorge R. Vergara, Pablo A. Estévez
In this work we present a review of the state of the art of information theoretic feature selection methods. The concepts of feature relevance, redundance and complementarity (syne…
A review of learning vector quantization classifiers
David Nova, Pablo A. Estevez
In this work we present a review of the state of the art of Learning Vector Quantization (LVQ) classifiers. A taxonomy is proposed which integrates the most relevant LVQ approaches…
A Novel, Fully Automated Pipeline for Period Estimation in the EROS 2 Data Set
Pavlos Protopapas, Pablo Huijse, Pablo A. Estevez +2
We present a new method to discriminate periodic from non-periodic irregularly sampled lightcurves. We introduce a periodic kernel and maximize a similarity measure derived from in…
An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves
Pablo Huijse, Pablo A. Estevez, Pavlos Protopapas +2
We propose a new information theoretic metric for finding periodicities in stellar light curves. Light curves are astronomical time series of brightness over time, and are characte…
Period Estimation in Astronomical Time Series Using Slotted Correntropy
Pablo Huijse, Pablo A. Estévez, Pablo Zegers +2
In this letter, we propose a method for period estimation in light curves from periodic variable stars using correntropy. Light curves are astronomical time series of stellar brigh…