Paula Branco

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it; #26,611 of 35,345 by trust here, #21,878 by citations
• Electrical and Electronic Engineering — 18 citations into it
• Information Systems — 15 citations into it
• Accounting — 8 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Paula Branco trusts overall

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

1. Nathalie Japkowicz
2. David A. Cieslak
3. Nitesh V. Chawla
4. David J. Hand
5. Chao Chen
6. Taeho C. Jo
7. Haibo He
8. Yanmin Sun
9. Luís Torgo
10. Alberto Fernández

Who trusts Paula Branco overall

1. Marc-Andre Carbonneau
2. Palak Mahajan
3. Luís Torgo
4. Veronika Cheplygina
5. S. Uddin
6. Rita P. Ribeiro
7. Isar Nejadgholi
8. Aristotelis Chrysakis

Papers from Paula Branco's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Survey of Predictive Modeling on Imbalanced Domains (2016) — 1,064 citations
• SMOGN: a Pre-processing Approach for Imbalanced Regression (2017) — 309 citations
• SMOTE for Regression (2013) — 308 citations