Jorge R. Vergara

Artificial Intelligence · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #14,779 of 35,345 by trust here, #21,878 by citations
• Information Theory — 7 citations into it
• Signal Processing — 5 citations into it

Whom Jorge R. Vergara trusts overall

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

1. Isabelle M Guyon
2. José Carlos Príncipe
3. Daphne Koller
4. Ron Kohavi
5. Andre´ Elisseeff
6. Lei Yu
7. Thomas M. Cover
8. Ioannis Tsamardinos
9. Hanchuan Peng
10. Alexander Kraskov

Who trusts Jorge R. Vergara overall

1. German Ignacio Parisi
2. Stefan Wermter
3. Jun Tani
4. Cornelius Weber
5. Tansel Dökeroğlu
6. Yi-Wei Chen
7. Verónica Bolón-Canedo

Papers from Jorge R. Vergara's perspective

Ordered by how strongly the researchers Jorge R. Vergara 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Information Theory: 1948-1998 - Guest Editorial
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A review of feature selection methods based on mutual information (2013) — 1,221 citations
• Nonlinear Time Series Analysis by Using Gamma Growing Neural Gas (2012) — 11 citations