Claus de Castro Aranha

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #18,430 of 35,345 by trust here, #27,551 by citations
• Computer Vision and Pattern Recognition — 5 citations into it; #11,624 of 21,575 by trust here, #17,757 by citations
• Generative Models — 5 citations into it; #1,069 of 1,956 by trust here, #1,748 by citations

Whom Claus de Castro Aranha trusts overall

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

1. Jost Tobias Springenberg
2. Individualized Treat
3. Guillaume Lemaitre
4. Nitesh V. Chawla
5. Haibo He
6. Giovanni Mariani
7. Maayan Frid-Adar
8. Jinsung Yoon

Who trusts Claus de Castro Aranha overall

1. Vinay Uday Prabhu
2. Nandan Thakur
3. William S. Peebles
4. Ateret Anaby-Tavor
5. Abeba Birhane

Papers from Claus de Castro Aranha's perspective

Ordered by how strongly the researchers Claus de Castro Aranha trusts endorse each paper. Same corpus, a different order for every researcher.

1. GENERATIVE ADVERSARIAL NETS
2. SMOTE: Synthetic Minority Over-sampling Technique
3. Progressive Growing of GANs for Improved Quality, Stability, and Variation
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. ADASYN: Adaptive synthetic sampling approach for imbalanced learning (IEEE World Congress on Computational Intelligence)
10. Going deeper with convolutions

Their papers

• Data Augmentation Using GANs (2019) — 234 citations