Senén Barro

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Statistics and Probability — 34 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Statistical Learning Theory — 12 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Molecular Biology — 7 citations into it
• Information Systems — 5 citations into it; #3,208 of 8,771 by trust here, #895 by citations
• Optimization & Training — 5 citations into it

Whom Senén Barro trusts overall

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

1. Jerome H. Friedman
2. Leo Breiman
3. Max Kuhn
4. J. Ross Quinlan
5. Robert Tibshirani
6. Eric R. Ziegel
7. Trevor J. Hastie
8. Nicolai Meinshausen
9. Eibe Frank
10. Yoav Freund

Who trusts Senén Barro overall

1. Momin M. Malik
2. Laura Gustafson
3. Chintan Parmar
4. Le Zhang
5. Lucas K. Mentch

Papers from Senén Barro's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Bagging Predictors
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. The Elements of Statistical Learning
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. LIBSVM: A library for support vector machines
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• An extensive experimental survey of regression methods (2019) — 317 citations
• Do we need hundreds of classifiers to solve real world classification problems? (2014) — 3,241 citations