T. Frescino

Ecological Modeling · 2002–2006

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Ecological Modeling — 9 citations into it; #1,505 of 2,530 by trust here, #1,430 by citations
• Nature and Landscape Conservation — 9 citations into it; #388 of 6,941 by trust here, #1,643 by citations
• Statistics and Probability — 9 citations into it

Whom T. Frescino trusts overall

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

1. Yann LeCun
2. Yoshua Bengio

Who trusts T. Frescino overall

1. Michael P. Austin
2. Wilfried Thuiller
3. B. Schr
4. Jane Elith
5. J. Leathwick
6. Andreas Hamann
7. Björn Reineking
8. Gretchen G. Moisen
9. Antoine Guisan
10. Elizabeth A. Freeman

Papers from T. Frescino's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods (2006) — 299 citations
• Comparing five modelling techniques for predicting forest characteristics (2002) — 486 citations