Salvador España Boquera

Artificial Intelligence · 2009–2014

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #27,310 of 35,345 by trust here, #30,347 by citations
• Natural Language Processing — 20 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it; #16,120 of 21,575 by trust here, #17,757 by citations
• Large Language Models — 10 citations into it
• Model Architectures — 9 citations into it
• Speech & Audio — 8 citations into it
• Media Technology — 6 citations into it; #3,107 of 3,621 by trust here, #2,954 by citations

Whom Salvador España Boquera trusts overall

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

1. Andreas Stolcke
2. Urs-Viktor Marti
3. Yoshua Bengio
4. Alex Graves
5. Holger Schwenk
6. Horst Bunke
7. Alessandro Vinciarelli
8. Geoffrey E. Hinton
9. Frederick Jelinek
10. J. Urgen Schmidhuber

Who trusts Salvador España Boquera overall

1. Simon Wiesler
2. J. Urgen Schmidhuber
3. Thomas Breuel
4. Volkmar Frinken
5. Hermann Ney
6. Li Deng
7. Adnan Ul-Hasan

Papers from Salvador España Boquera's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Fast Evaluation of Connectionist Language Models (2009) — 19 citations
• Neural network language models for off-line handwriting recognition (2014) — 79 citations
• Long-short term memory neural networks language modeling for handwriting recognition (2012) — 28 citations
• Improving Offline Handwritten Text Recognition with Hybrid HMM/ANN Models (2011) — 342 citations