There is a lot of current work from my thesis that I have not published yet. I currently working with Pablo Huijse, Pavlos Protopapas and Pablo Estévez to make this work available as papers. You can have an idea of this work here. The following work is already published.

Publications

  • Nicolas Astorga, Pablo Huijse, Pavlos Protopapas and Pablo A. Estévez. “MPCC: Matching Priors and Conditionals for clustering”, European Conference on Computer Vision (ECCV), Glasglow, 2020. [paper] [code].
  • Nicolas Astorga, Pablo Huijse, Pablo A. Estévez, Francisco Forster, “Clustering of astronomical transient candidates using deep variational embedding”, Proceedings of the International. [paper] Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, 2018.
  • Francisco Forster et al. “The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker”. Accepted APJ. [paper]
  • Pablo Huijse, Nicolas Astorga, Pablo A. Estévez, Giuliano Pignata, “Latent representations of transients from an astronomical image difference pipeline using VAE”, Proceedings of the European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, 2018. [paper]
  • Ceena Modarres, Nicolás Astorga, Enrique López, Enrique and Viviane Meruane, “Convolutional neural networks for automated damage recognition and damage type identification”, Article in Structural Control and Health Monitoring, 2018. [paper]
  • Nicolás Astorga, Enrique López and Viviane Meruane, “Computer vision for structural damage quantification: A novel residual deep learning based approach: A Deep Learning Based Model”, Proceeding of European Safety and Reliability Conference (ESREL), 2018. [paper]
  • Guarda, Luis and Astorga, Nicolás and Droguett, Enrique and Moura, Marcio and Ramos Martins, Marcelo, “Drowsiness Detection Using Electroencephalography Signals: A Deep Learning Based Model”, Proceeding of Probabilistic Safety Assessment & Management (PSAM), 2018. [paper]