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Diego Marcos Gonzalez, MSc

 https://orcid.org/0000-0001-5607-4445
    20172019
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    Fingerprint Dive into the research topics where Diego Marcos Gonzalez is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    • 4 Similar Researchers
    Neural networks Engineering & Materials Science
    Animals Engineering & Materials Science
    Unmanned aerial vehicles (UAV) Engineering & Materials Science
    Curricula Engineering & Materials Science
    Antennas Engineering & Materials Science
    train Earth & Environmental Sciences
    Mammals Engineering & Materials Science
    field method Earth & Environmental Sciences

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 2018 2019

    • 5 Conference contribution
    • 4 Paper
    • 2 Article
    • 1 internal PhD, WU

    Best practices to train deep models on imbalanced datasets—a case study on animal detection in aerial imagery

    Kellenberger, B., Marcos, D. & Tuia, D., 1 Jan 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Brefeld, U., Marascu, A., Pinelli, F., Curry, E., MacNamee, B., Hurley, N., Daly, E. & Berlingerio, M. (eds.). Springer Verlag, p. 630-634 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Best Practice
    Curricula
    Recommendations
    Animals
    Antennas

    Injecting spatial priors in Earth observation with machine vision

    Gonzalez, D., 2019, Wageningen: Wageningen University. 130 p.

    Research output: Thesis › internal PhD, WU › Academic

    Open Access

    Best practices to train deep models on imbalanced datasets - a case study on animal detection in aerial imagery

    Kellenberger, B. A., Marcos Gonzalez, D. & Tuia, D., 2018. 4 p.

    Research output: Contribution to conference › Paper › Academic › peer-review

    Open Access
    Curricula
    Animals
    Antennas
    Neural networks
    2 Citations (Scopus)

    Correcting Misaligned Rural Building Annotations in Open Street Map Using Convolutional Neural Networks Evidence

    Vargas-Munoz, J. E., Marcos, D., Lobry, S., dos Santos, J. A., Falcao, A. X. & Tuia, D., 5 Nov 2018, 2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings: Observing, Understanding And Forecasting The Dynamics Of Our Planet. IEEE Xplore, p. 1284-1287

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    field method
    train
    imagery
    developing world
    alignment

    Deep learning based methods for building segmentation from remote sensing data

    Lobry, S., Marcos Gonzalez, D., Vargas Munoz, J., Kellenberger, B. A., Srivastava, S. & Tuia, D., 2018. 4 p.

    Research output: Contribution to conference › Paper › Academic

    Projects 2017 2019

    Reduce, reuse and recycle: the 3 Rs of ground truth sustainability for land-cover mapping

    Marcos Gonzalez, D., Bregt, A. & Tuia, D.

    1/08/17 → 11/02/19

    Project: PhD