María Pérez-Ortiz

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Statistics and Probability — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom María Pérez-Ortiz trusts overall

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

1. Vladimir Naumovich Vapnik
2. Richard Williams
3. Alex Smola
4. Wei Chu
5. Amnon Shashua
6. Christian Igel
7. Chih-Jen Lin
8. Ian H. Witten
9. Bernhard Schölkopf

Papers from María Pérez-Ortiz's perspective

Ordered by how strongly the researchers María Pérez-Ortiz trusts endorse each paper. Same corpus, a different order for every researcher.

1. Multitask Learning
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. LIBSVM: A library for support vector machines
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. The Elements of Statistical Learning
8. Long Short-Term Memory
9. Large Margin Rank Boundaries for Ordinal Regression
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Ordinal Regression Methods: Survey and Experimental Study (2016) — 445 citations