George D. C. Cavalcanti

Artificial Intelligence · 2013–2022

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #32,210 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 20 citations into it
• Statistics and Probability — 10 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Optimization & Training — 7 citations into it
• Natural Language Processing — 5 citations into it

Whom George D. C. Cavalcanti trusts overall

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

1. Leo Breiman
2. Ludmila I. Kuncheva
3. Jerome H. Friedman
4. Subhash C. Bagui
5. Niko Speybroeck
6. Yoav Freund
7. Trevor J. Hastie
8. Thomas M. Cover
9. Tianqi Chen
10. Rafael M. O. Cruz

Who trusts George D. C. Cavalcanti overall

1. Lucas B. V. de Amorim
2. Rafael M. O. Cruz

Papers from George D. C. Cavalcanti's perspective

Ordered by how strongly the researchers George D. C. Cavalcanti trusts endorse each paper. Same corpus, a different order for every researcher.

1. Random Forests
2. Greedy function approximation: A gradient boosting machine.
3. Scikit-learn: Machine Learning in Python
4. Nearest neighbor pattern classification
5. XGBoost: A Scalable Tree Boosting System
6. Classification and regression trees
7. Bagging Predictors
8. ROUGE: A Package for Automatic Evaluation of Summaries
9. ImageNet classification with deep convolutional neural networks
10. A Theoretical Study on Six Classifier Fusion Strategies (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers

• Assessing sentence scoring techniques for extractive text summarization (2013) — 337 citations
• The choice of scaling technique matters for classification performance (2022) — 371 citations
• Dynamic classifier selection: Recent advances and perspectives (2018) — 430 citations