Phan Thanh Noi
Ecology · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 29 citations into it; #5,928 of 10,717 by trust here, #8,434 by citations
- Global and Planetary Change — 21 citations into it
- Media Technology — 15 citations into it; #2,383 of 3,621 by trust here, #2,479 by citations
- Environmental Engineering — 13 citations into it
- Atmospheric Science — 9 citations into it; #2,816 of 4,804 by trust here, #3,434 by citations
- Artificial Intelligence — 6 citations into it
Whom Phan Thanh Noi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Max Kuhn
- Jan G. P. W. Clevers
- Hector Franco-Lopez
- Elhadi Adam
- Aaron E. Maxwell
- Congcong Li
- Yuguo Qian
- Jordi Inglada
- Yang Shao
- Giorgos Mountrakis
Who trusts Phan Thanh Noi overall
Papers from Phan Thanh Noi's perspective
Ordered by how strongly the researchers Phan Thanh Noi trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
- Classification and Regression by randomForest
- Landsat continuity: Issues and opportunities for land cover monitoring
- Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery (Remote Sensing)
- Classification of hyperspectral remote sensing images with support vector machines (IEEE Transactions on Geoscience and Remote Sensing)
- A survey of image classification methods and techniques for improving classification performance
- Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers
- SENTINEL-2 SEN2COR: L2A Processor for Users
- Building Predictive Models in R Using the caret Package
Their papers
- Land Cover Classification using Google Earth Engine and Random Forest Classifier - The Role of Image Composition (2020) — 526 citations
- Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery (2017) — 1,229 citations