Applied machine and deep learning techniques to automate the morphological classification of galaxies at scale (2016-2020)
đź“Ť National Institute for Space Research (INPE), Brazil

Thesis

Machine and deep learning applied to galaxy morphology
đź”— INPE’s digital library

Main Publications

  • Machine and Deep Learning Applied to Galaxy Morphology — A Comparative Study
    P. H. Barchi, R. R. de Carvalho, R. R. Rosa, R. Sautter, M. Soares-Santos, B. A. D. Marques, E. Clua, T. S. Gonçalves, C. de Sá-Freitas, T. C. Moura
    Astronomy and Computing, Vol. 30, 100334 (2020)
    đź”— ScienceDirect / Journal Article | arXiv:1901.07047

  • Gradient pattern analysis applied to galaxy morphology
    R. R. Rosa, R. R. de Carvalho, R. A. Sautter, P. H. Barchi, D. H. Stalder, T. C. Moura, S. B. Rembold, D. R. F. Morell, N. C. Ferreira
    Monthly Notices of the Royal Astronomical Society: Letters, Vol. 477 (1), L101–L105 (2018)
    đź”— Oxford Academic / MNRAS Letters

  • Modeling social and geopolitical disasters as extreme events: a case study considering the complex dynamics of international armed conflicts
    R. R. Rosa, J. Neelakshi, G. A. L. L. Pinheiro, P. H. Barchi, E. H. Shiguemori
    Towards mathematics, computers and environment: A disasters perspective, pp. 233–254 (2019)
    đź”— Springer / Book Chapter