Nataliia Rehush
Environmental Engineering · 2021
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom Nataliia Rehush trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Urgen Schmidhuber (in Artificial Intelligence)
- David Small (in Environmental Engineering)
Papers from Nataliia Rehush's perspective
Ordered by how strongly the researchers Nataliia Rehush trusts endorse each paper. Same corpus, a different order for every researcher.
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Random Forests
- Deep learning in neural networks: An overview
- Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation
- Deep learning in remote sensing: a review (arXiv.org)
- A Coefficient of Agreement for Nominal Scales
- The class imbalance problem: A systematic study
- GMES Sentinel-1 mission
- Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends (Remote Sensing)
- National mapping and estimation of forest area by dominant tree species using Sentinel-2 data