Fabrício Enembreck

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it; #35,339 of 35,345 by trust here, #20,836 by citations
• Management Science and Operations Research — 16 citations into it
• Information Systems — 14 citations into it
• Signal Processing — 11 citations into it
• Evaluation & Benchmarks — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Statistics and Probability — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Fabrício Enembreck trusts overall

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

1. Ludmila I. Kuncheva
2. Albert Bifet
3. Leo Breiman
4. Leandro L. Minku
5. G. Holmes
6. Bernhard Pfahringer
7. J. Ross Quinlan
8. Pedro M. Domingos
9. Nikunj C. Oza
10. João Gama

Who trusts Fabrício Enembreck overall

1. Da-Wei Zhou

Papers from Fabrício Enembreck's perspective

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

1. Bagging Predictors
2. A decision-theoretic generalization of on-line learning and an application to boosting
3. Random Forests
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adaptive Mixtures of Local Experts
7. Gradient-based learning applied to document recognition
8. Mining high-speed data streams
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Adaptive random forests for evolving data stream classification (2017) — 763 citations
• A Survey on Ensemble Learning for Data Stream Classification (2017) — 576 citations