Browsing by Author "Estévez Valencia, Pablo Antonio"

Now showing items 1-7 of 7

    • Alert classification for the alerce broker system: the real-time stamp classifier 
      Carrasco Davis, Rodrigo Antonio; Reyes, E.; Valenzuela, C.; Foerster, F.; Estévez Valencia, Pablo Antonio; Pignata, G.; Bauer, F. E.; Reyes, I.; Sánchez Sáez, P.; Cabrera Vives, G.; Eyheramendy, S.; Catelan, M.; Arredondo, J.; Castillo Navarrete, E.; Rodríguez Mancini, D.; Ruz Mieres, Daniela Valentina; Moya, A.; Sabatini Gacitúa, Luis Alfredo; Sepúlveda Cobo, Cristóbal Mario; Mahabal, A. A.; Silva Farfán, Javier Ignacio; Camacho Iñiguez, E.; Galbany, L. (IOP, 2021)
      We present a real-time stamp classifier of astronomical events for the Automatic Learning for the Rapid Classification of Events broker, ALeRCE. The classifier is based on a convolutional neural network, trained on alerts ...
    • Development of spiking neural networks based on Deep Learning and information theory 
      Intriago Chichanda, Jhon Alejandro (Universidad de Chile, 2021)
      Las Redes Neuronales Spiking (SNNs) son una posible vía para acortar la distancia entre el aprendizaje profundo y la neurociencia. Estos modelos se consideran redes neuronales biológicamente plausibles porque intentan ...
    • Finding periodicities in astronomical light curves using information theoretic learning 
      Huijse Heise, Pablo Andrés (Universidad de Chile, 2014)
      The analysis of time-variable astronomical phenomena is of great interest as it helps to improve our understanding of the structure and topology of our Universe, the mechanisms of galaxy and stellar evolution, etc. The ...
    • Going deep into schizophrenia with artificial intelligence 
      Cortés Briones, Jose A.; Tapia Rivas, Nicolás Igor; D'Souza, Deepak Cyril; Estévez Valencia, Pablo Antonio (Elsevier, 2022)
      Despite years of research, the mechanisms governing the onset, relapse, symptomatology, and treatment of schizophrenia (SZ) remain elusive. The lack of appropriate analytic tools to deal with the heterogeneity and complexity ...
    • Improving astronomical time-series classification via data augmentation with generative adversarial networks 
      García Jara, Germán Eduardo; Protopapas, Pavlos; Estévez Valencia, Pablo Antonio (IOP Publishing, 2022)
      Due to the latest advances in technology, telescopes with significant sky coverage will produce millions of astronomical alerts per night that must be classified both rapidly and automatically. Currently, classification ...
    • Modelos generativos-inferenciales: teoría y aplicaciones 
      Astorga Rocha, Nicolás Javier (Universidad de Chile, 2021)
      Esta tesis estudia modelos generativos-inferenciales (GI) \textit{i.e.} modelos generativos basados en redes neuronales que consideran un modelo de inferencia. El modelo de inferencia es útil para alcanzar las características ...
    • Monitoreo en línea de deformaciones en estructuras civiles y mineras mediante BOTDR 
      Mujica Toro, Luis Felipe (Universidad de Chile, 2014)
      Esta tesis presenta un resumen de las actividades, proyectos necesarios, implementación, resultados y discusión de éstos, para realizar una transferencia tecnológica de un sensor de deformaciones basado en la reflectometría ...