Ricardo Guerrero

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 36 citations into it
• Graph Learning — 16 citations into it
• Model Architectures — 5 citations into it

Whom Ricardo Guerrero trusts overall

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

1. Thomas Kipf

Who trusts Ricardo Guerrero overall

1. Miaoyun Zhao

Papers from Ricardo Guerrero's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. GENERATIVE ADVERSARIAL NETS
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Human-level control through deep reinforcement learning
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks (2018) — 497 citations
• Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents (2018) — 61 citations
• Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease (2018) — 743 citations
• Spectral Graph Convolutions for Population-based Disease Prediction (2017) — 250 citations
• Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge (2015) — 349 citations