Dinani Gomes Amorim

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Statistics and Probability — 12 citations into it
• Statistical Learning Theory — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Information Systems — 5 citations into it; #3,207 of 8,771 by trust here, #895 by citations
• Optimization & Training — 5 citations into it

Whom Dinani Gomes Amorim trusts overall

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

1. Jerome H. Friedman
2. Max Kuhn
3. J. Ross Quinlan
4. Leo Breiman
5. Eric R. Ziegel
6. Eibe Frank
7. Yoav Freund
8. William W. Cohen
9. Niko Speybroeck
10. Robert Tibshirani

Who trusts Dinani Gomes Amorim overall

1. Momin M. Malik
2. Laura Gustafson
3. Chintan Parmar

Papers from Dinani Gomes Amorim's perspective

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

1. Bagging Predictors
2. The Elements of Statistical Learning
3. Experiments with a New Boosting Algorithm
4. Special Invited Paper-Additive logistic regression: A statistical view of boosting
5. LIBLINEAR: A Library for Large Linear Classification
6. Pattern Recognition and Neural Networks
7. Classification and regression trees
8. Regularization Paths for Generalized Linear Models via Coordinate Descent
9. ImageNet classification with deep convolutional neural networks
10. Gradient-based learning applied to document recognition

Their papers

• Do we need hundreds of classifiers to solve real world classification problems? (2014) — 3,241 citations