Dr Mauricio Alvarez

Senior Lecturer in Machine Learning

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ORCID: 0000-0002-8980-4472
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Publications

1 - 10 out of 19Page size: 10
  1. 2022
  2. Published

    Predicting socioeconomic indicators using transfer learning on imagery data: an application in Brazil

    Castro, D. A. & Álvarez, M. A., 24 Mar 2022, In: GeoJournal.

    Research output: Contribution to journal › Review article › peer-review

    DOI: 10.1007/s10708-022-10618-3
  3. 2021
  4. Published

    Correlated Chained Gaussian Processes for Datasets With Multiple Annotators

    Gil-Gonzalez, J., Giraldo, J. J., Alvarez-Meza, A. M., Orozco-Gutierrez, A. & Alvarez, M. A., 11 Oct 2021, In: IEEE Transactions on NEural Networks and Learning Systems. p. 1-15

    Research output: Contribution to journal › Article › peer-review

    DOI: 10.1109/TNNLS.2021.3116943
  5. Published

    Bayesian inversion of a diffusion model with application to biology

    Croix, J. C., Durrande, N. & Alvarez, M. A., 1 Aug 2021, In: Journal of Mathematical Biology. 83, 2, 13.

    Research output: Contribution to journal › Article › peer-review

    DOI: 10.1007/s00285-021-01621-2
  6. Published

    A Support Vector machine-Based method for parameter estimation of an electric arc furnace model

    Marulanda-Durango, J., Escobar-Mejía, A., Alzate-Gómez, A. & Álvarez-López, M., Jul 2021, In: Electric Power Systems Research. 196, 107228.

    Research output: Contribution to journal › Article › peer-review

    DOI: 10.1016/j.epsr.2021.107228
  7. Published

    A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multioutput Gaussian Process Model

    Giraldo, J. J. & Alvarez, M. A., 24 May 2021, In: IEEE Transactions on NEural Networks and Learning Systems.

    Research output: Contribution to journal › Article › peer-review

    DOI: 10.1109/TNNLS.2021.3080238
  8. Published

    Physically-inspired gaussian process models for post-transcriptional regulation in Drosophila

    López-Lopera, A. F., Durrande, N. & Álvarez, M. A., 1 Mar 2021, In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18, 2, p. 656-666 11 p., 8723187.

    Research output: Contribution to journal › Article › peer-review

    DOI: 10.1109/TCBB.2019.2918774
  9. Published

    Differentially Private Regression and Classification with Sparse Gaussian Processes

    Smith, M. T., Álvarez, M. A. & Lawrence, N. D., 2021, In: Journal of Machine Learning Research. 22

    Research output: Contribution to journal › Article › peer-review

  10. 2020
  11. Published

    A discriminative multi-output gaussian processes scheme for brain electrical activity analysis

    Torres-Valencia, C., Orozco, Á., Cárdenas-Peña, D., Álvarez-Meza, A. & Álvarez, M., 1 Oct 2020, In: Applied Sciences (Switzerland). 10, 19, p. 1-15 15 p., 6765.

    Research output: Contribution to journal › Article › peer-review

    DOI: 10.3390/app10196765
  12. Published

    A machine learning approach to support deep brain stimulation programming

    Gómez-orozco, V., Pava, I. D. L., Álvarez-meza, A., Álvarez, M. A. & Orozco-Gutiérrez, Á., 1 Apr 2020, In: Revista Facultad de Ingenieria. 95, p. 20-33 14 p.

    Research output: Contribution to journal › Article › peer-review

    DOI: 10.17533/udea.redin.20190729
  13. Published

    Multi-task causal learning with Gaussian processes

    Aglietti, V., Damoulas, T., Álvarez, M. A. & González, J., 2020, In: Advances in Neural Information Processing Systems. 2020-December

    Research output: Contribution to journal › Conference article › peer-review

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