Diego Marcos Gonzalez, MSc

Research Associate, Laboratory of Geo-information Science and Remote Sensing

https://orcid.org/0000-0001-5607-4445

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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.

12 Similar Researchers

Neural networks Engineering & Materials Science

Unmanned aerial vehicles (UAV) Engineering & Materials Science

Animals Engineering & Materials Science

imagery Earth & Environmental Sciences

Labels Engineering & Materials Science

learning Earth & Environmental Sciences

Chemical activation Engineering & Materials Science

train Earth & Environmental Sciences

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

Research Output 2018 2019

9 Conference paper
3 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 paper

Best Practice

Curricula

Recommendations

Animals

Antennas

1 Citation (Scopus)

Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning

Kellenberger, B., Marcos, D., Lobry, S. & Tuia, D., Dec 2019, In : IEEE Transactions on Geoscience and Remote Sensing. 57, 12, p. 9524-9533

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

Unmanned aerial vehicles (UAV)

Labels

Animals

imagery

learning

Injecting spatial priors in Earth observation with machine vision

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

Research output: Thesis › internal PhD, WU

Open Access

computer vision

remote sensing

imagery

pixel

land cover

Novelty detection in very high resolution urban scenes with Density Forests

Wendl, C., Marcos, D. & Tuia, D., 22 Aug 2019, 2019 Joint Urban Remote Sensing Event, JURSE 2019. Institute of Electrical and Electronics Engineers Inc., 8808974. (Joint Urban Remote Sensing Event (JURSE)).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

confidence

high resolution

estimation method

neural network

Chemical activation