Diego Parente Paiva Mesquita

Doctoral Candidate

Research outputs

  1. 2019
  2. Published

    Gaussian kernels for incomplete data

    Mesquita, D. P. P., Gomes, J. P. P., Corona, F., Souza, A. H. & Nobre, J. S., 1 Apr 2019, In : Applied Soft Computing Journal. 77, p. 356-365 10 p.

    Research output: Contribution to journalArticle

  3. Published

    Artificial Neural Networks with Random Weights for Incomplete Datasets

    Mesquita, D. P. P., Gomes, J. P. P. & Rodrigues, L. R., 1 Jan 2019, In : Neural Processing Letters. 28 p.

    Research output: Contribution to journalArticle

  4. Accepted/In press

    Embarrassingly parallel MCMC using deep invertible transformations

    Mesquita, D., Blomstedt, P. & Kaski, S., 1 Jan 2019, (Accepted/In press) Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI 2019, Tel Aviv, Israel, July 22-25, 2019. AUAI Press

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  5. E-pub ahead of print

    A sparse linear regression model for incomplete datasets

    Veras, M. B. A., Mesquita, D. P. P., Mattos, C. L. C. & Gomes, J. P. P., 2019, In : Pattern Analysis and Applications.

    Research output: Contribution to journalArticle

ID: 14518954