Pedro J. García-Laencina

Artificial Intelligence · 2010

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #15,809 of 35,345 by trust here, #22,463 by citations

Whom Pedro J. García-Laencina trusts overall

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

1. J. Ross Quinlan
2. C. Levine
3. Yann LeCun
4. Richard J. Hathaway
5. Nojun Kwak
6. Yoshua Bengio
7. James C. Bezdek
8. Chong-Ho Choi
9. Jaka Demsar
10. Geoffrey E. Hinton

Who trusts Pedro J. García-Laencina overall

1. Jinsung Yoon
2. S. van Buuren
3. Dana Hughes
4. Zhiyong Cui
5. Mihaela van der Schaar
6. Nikolaus Correll
7. Zachary Chase Lipton
8. James Jordon
9. William R. Zame
10. Ruimin Ke

Papers from Pedro J. García-Laencina's perspective

Ordered by how strongly the researchers Pedro J. García-Laencina 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. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Pattern classification with missing data: a review (2010) — 799 citations
• Missing data imputation using statistical and machine learning methods in a real breast cancer problem (2010) — 582 citations