Dilli Paudel

Ecology, Evolution, Behavior and Systematics · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Ecology, Evolution, Behavior and Systematics — 9 citations into it
• Artificial Intelligence — 7 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Dilli Paudel trusts overall

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

1. Jerome H. Friedman
2. David Ruppert
3. Teuvo Kohonen
4. Christoph von der Malsburg
5. Andrew Crane-Droesch
6. Thomas M. Cover
7. Trevor J. Hastie
8. Bernhard E. Boser
9. David William Aha
10. Jiaxuan You

Papers from Dilli Paudel's perspective

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

1. Random Forests
2. Deep Learning
3. Greedy function approximation: A gradient boosting machine.
4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
5. Scikit-learn: Machine Learning in Python
6. Nearest neighbor pattern classification
7. ImageNet classification with deep convolutional neural networks
8. A training algorithm for optimal margin classifiers
9. Ridge Regression: Biased Estimation for Nonorthogonal Problems
10. Semantic Compositionality through Recursive Matrix-Vector Spaces

Their papers

• Machine learning for large-scale crop yield forecasting (2020) — 312 citations