Edwardo A. Garcia

Artificial Intelligence · 2008–2009

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it; #3,868 of 35,345 by trust here, #5,153 by citations
• Information Systems — 12 citations into it
• Electrical and Electronic Engineering — 8 citations into it; #701 of 16,539 by trust here, #4,094 by citations
• Optimization & Training — 7 citations into it
• Statistical Learning Theory — 6 citations into it
• Accounting — 5 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Edwardo A. Garcia trusts overall

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

1. Nathalie Japkowicz
2. Yoav Freund
3. Gang Wu
4. Nitesh V. Chawla
5. Pedro M. Domingos
6. J. Ross Quinlan
7. Tom Fawcett
8. Kai Ming Ting
9. Robert E. Schapire
10. Ş. Ertekin

Who trusts Edwardo A. Garcia overall

1. Sara Fotouhi
2. Justin Engelmann
3. Andrea Dal Pozzolo
4. Alberto Fernández
5. Bartosz Krawczyk
6. Sneha Kudugunta
7. Rukshan Batuwita
8. Tomasz Maciejewski
9. Shuhua Liu
10. Victoria López

Papers from Edwardo A. Garcia's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. The Nature of Statistical Learning Theory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. A decision-theoretic generalization of on-line learning and an application to boosting
8. SMOTE: Synthetic Minority Over-sampling Technique
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning from Imbalanced Data (2009) — 4,409 citations
• ADASYN: Adaptive synthetic sampling approach for imbalanced learning (2008) — 4,901 citations