Expertise

  • Earth and Planetary Sciences

    • Machine Learning
    • Augmentation
    • Cartography
    • Core
    • Drill
    • Mineral
  • Computer Science

    • Cross-Validation
    • Artificial Neural Network

Organisations

Publications

2024

Evaluating geospatial machine learning predictions: a data-driven perspective on cross-validation (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Wang, Y.https://doi.org/10.3990/1.9789036563994High Resolution Remote Sensing Images from the Algerian steppic zone (2024)[Dataset Types › Dataset]. DANS Data Station Physical and Technical Sciences. de Oto, L. H., Khodadadzadeh, M., Tandjaoui, A. F., Kaddour, M. & Guerid, H.https://doi.org/10.17026/PT/POJGN2Remote sensing-based driving factors of desertification in the Algerian steppic zone (2024)[Dataset Types › Dataset]. DANS Data Station Physical and Technical Sciences. de Oto, L. H., Khodadadzadeh, M., Tandjaoui, A. F., Guerid, H. & Kaddour, M.https://doi.org/10.17026/PT/0DNFS0

2023

Spatial+: A new cross-validation method to evaluate geospatial machine learning models (2023)International Journal of Applied Earth Observation and Geoinformation (JAG), 121. Article 103364. Wang, Y., Khodadadzadeh, M. & Zurita-Milla, R.https://doi.org/10.1016/j.jag.2023.103364Springtime (2023)[Dataset Types › Dataset]. Zenodo. Kalverla, P., Alidoost, F., Verhoeven, S. & Khodadadzadeh, M.https://doi.org/10.5281/zenodo.7835300Spatial Plus Cross-Validation experiments datasets and codes (new) (2023)[Dataset Types › Dataset]. Zenodo. Wang, Y., Khodadadzadeh, M. & Zurita-Milla, R.https://doi.org/10.17026/dans-zwj-zauq

Research profiles

Address

University of Twente

Langezijds (building no. 19), room 1340
Hallenweg 8
7522 NH Enschede
Netherlands

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