Research

Publications
  1. Cooperative photometric redshift estimation

    Cavuoti, S., Tortora, C., Brescia, M., Longo, G., Radovich, M., Napolitano, N. R., Amaro, V. & Vellucci, C. Oct-2016 Proceedings of the International Astronomical Union: IAU Symposium. Vol. 325, p. 166-172 7 p. (Proceedings of the International Astronomical Union, IAU Symposium).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. METAPHOR: Probability density estimation for machine learning based photometric redshifts

    Amaro, V., Cavuoti, S., Brescia, M., Vellucci, C., Tortora, C. & Longo, G. Oct-2016 Proceedings of the International Astronomical Union, : IAU Symposium. Cambridge University Press, Vol. 325, p. 197-200 4 p. (Proceedings of the International Astronomical Union, IAU Symposium).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. METAPHOR: a machine-learning-based method for the probability density estimation of photometric redshifts

    Cavuoti, S., Amaro, V., Brescia, M., Vellucci, C., Tortora, C. & Longo, G. Feb-2017 In : Monthly Notices of the Royal Astronomical Society. 465, 2, p. 1959-1973 15 p.

    Research output: Contribution to journalArticle

  4. A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data

    Cavuoti, S., Tortora, C., Brescia, M., Longo, G., Radovich, M., Napolitano, N. R., Amaro, V., Vellucci, C., La Barbera, F., Getman, F. & Grado, A. 1-Apr-2017 In : Monthly Notices of the Royal Astronomical Society. 466, 2, p. 2039-2053 15 p.

    Research output: Contribution to journalArticle

  5. Finding strong gravitational lenses in the Kilo Degree Survey with Convolutional Neural Networks

    Petrillo, C. E., Tortora, C., Chatterjee, S., Vernardos, G., Koopmans, L. V. E., Verdoes Kleijn, G., Napolitano, N. R., Covone, G., Schneider, P., Grado, A. & McFarland, J. 1-Nov-2017 In : Monthly Notices of the Royal Astronomical Society. 472, 1, p. 1129-1150 22 p.

    Research output: Contribution to journalArticle

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