Rafael M. O. Cruz

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #32,209 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 20 citations into it
• Statistics and Probability — 10 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Optimization & Training — 7 citations into it

Whom Rafael M. O. Cruz trusts overall

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

1. Ludmila I. Kuncheva
2. Leo Breiman
3. Subhash C. Bagui
4. Jerome H. Friedman
5. Yoav Freund
6. Trevor J. Hastie
7. Niko Speybroeck
8. Robert P. W. Duin
9. Lior Rokach
10. Robert E. Schapire

Who trusts Rafael M. O. Cruz overall

1. Lucas B. V. de Amorim
2. George D. C. Cavalcanti

Papers from Rafael M. O. Cruz's perspective

Ordered by how strongly the researchers Rafael M. O. Cruz trusts endorse each paper. Same corpus, a different order for every researcher.

1. Random Forests
2. Scikit-learn: Machine Learning in Python
3. Bagging Predictors
4. Nearest neighbor pattern classification
5. Greedy function approximation: A gradient boosting machine.
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Classification and regression trees
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• The choice of scaling technique matters for classification performance (2022) — 371 citations
• Dynamic classifier selection: Recent advances and perspectives (2018) — 430 citations