Mohammadreza Sheykhmousa

Ecology · 2020

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

• Ecology — 18 citations into it
• Environmental Engineering — 7 citations into it

Whom Mohammadreza Sheykhmousa trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Christopher K. I. Williams
2. Mahesh Pal
3. Max Kuhn
4. Yoav Freund
5. Jon Atli Benediktsson
6. Corinna Cortes
7. Martino Pesaresi
8. Paul M. Mather
9. Yali Amit
10. Taskin Kavzoglu

Papers from Mohammadreza Sheykhmousa's perspective

Ordered by how strongly the researchers Mohammadreza Sheykhmousa trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Support-Vector Networks
3. The Nature of Statistical Learning Theory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
6. Random Forests
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review (2020) — 776 citations