Jose Antonio Urigüen

Cognitive Neuroscience · 2015

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 26 citations into it; #6,641 of 10,852 by trust here, #8,899 by citations
• Signal Processing — 24 citations into it; #5,215 of 7,572 by trust here, #5,829 by citations

Whom Jose Antonio Urigüen trusts overall

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

1. Aapo Hyvärinen
2. Jean-François Cardoso
3. Seungjin Choi
4. Arnaud Delorme
5. Scott Makeig
6. David L. Donoho
7. Pierre Comon
8. Yannis Kopsinis
9. Nazareth P. Castellanos
10. Bernhard Schölkopf

Who trusts Jose Antonio Urigüen overall

1. Xiao Jiang
2. Guibin Bian
3. Soraia M. Alarcão
4. Zean Tian

Papers from Jose Antonio Urigüen's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
5. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. GENERATIVE ADVERSARIAL NETS
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• EEG artifact removal—state-of-the-art and guidelines (2015) — 883 citations