Pedro Antonio Gutiérrez

Artificial Intelligence · 2008–2016

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Statistics and Probability — 16 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Pedro Antonio Gutiérrez 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
10. Tsuyoshi Kato

Papers from Pedro Antonio Gutiérrez's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Multitask Learning
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Ordinal Regression Methods: Survey and Experimental Study (2016) — 445 citations
• Measurements of the Higgs boson production and decay rates and coupling strengths using pp collision data at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\o (2015) — 279 citations
• Constraints on new phenomena via Higgs boson couplings and invisible decays with the ATLAS detector (2015) — 260 citations
• Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data (2008) — 59 citations