Javier Gonzalez-Dominguez

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #12,737 of 35,345 by trust here, #8,365 by citations
• Signal Processing — 29 citations into it; #3,189 of 7,572 by trust here, #1,189 by citations
• Speech & Audio — 13 citations into it; #705 of 1,076 by trust here, #487 by citations
• Model Architectures — 9 citations into it
• Natural Language Processing — 9 citations into it; #4,398 of 5,688 by trust here, #4,539 by citations
• Optimization & Training — 7 citations into it

Whom Javier Gonzalez-Dominguez trusts overall

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

1. Geoffrey E. Hinton
2. Douglas A. Reynolds
3. Felix Alexander Gers
4. Hynek Hermansky
5. Hasim Sak
6. Alex Graves
7. Joseph Dean
8. Abdel-rahman Mohamed
9. Patrick Kenny
10. J. Urgen Schmidhuber

Who trusts Javier Gonzalez-Dominguez overall

1. Xiangang Li
2. Xihong Wu
3. Wang Geng
4. Fred Richardson
5. Gregory Gelly
6. Weibo Liu
7. Weicheng Cai
8. David Snyder
9. Peng Shen
10. Wenfu Wang

Papers from Javier Gonzalez-Dominguez's perspective

Ordered by how strongly the researchers Javier Gonzalez-Dominguez 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep neural networks for small footprint text-dependent speaker verification (2014) — 959 citations
• Automatic language identification using long short-term memory recurrent neural networks (2014) — 164 citations
• Automatic language identification using deep neural networks (2014) — 265 citations
• Frame-by-frame language identification in short utterances using deep neural networks (2015) — 75 citations