Heitor Murilo Gomes
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it; #35,338 of 35,345 by trust here, #20,836 by citations
- Management Science and Operations Research — 23 citations into it
- Information Systems — 19 citations into it
- Signal Processing — 14 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Optimization & Training — 13 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Statistics and Probability — 8 citations into it
Whom Heitor Murilo Gomes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Albert Bifet
- Ludmila I. Kuncheva
- Leo Breiman
- G. Holmes
- Leandro L. Minku
- Pedro M. Domingos
- Bernhard Pfahringer
- Nikunj C. Oza
- Yoav Freund
- Geoff Hulten
Who trusts Heitor Murilo Gomes overall
Papers from Heitor Murilo Gomes's perspective
Ordered by how strongly the researchers Heitor Murilo Gomes trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Bagging Predictors
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- River: machine learning for streaming data in Python (2020) — 313 citations
- Adaptive random forests for evolving data stream classification (2017) — 763 citations
- A Survey on Ensemble Learning for Data Stream Classification (2017) — 576 citations