Amaya Nogales-Gómez

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #17,492 of 35,345 by trust here, #24,417 by citations
• Computer Vision and Pattern Recognition — 12 citations into it
• Control and Systems Engineering — 12 citations into it
• Information Systems — 9 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Numerical Analysis — 8 citations into it
• Management Science and Operations Research — 7 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Amaya Nogales-Gómez trusts overall

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

1. Emilio Carrizosa
2. David Martens
3. Vladimir Naumovich Vapni
4. Yuhai Wu
5. Dolores Romero Morales
6. J. Paul Brooks
7. Bart Baesens
8. Eric R. Ziegel
9. R. Fisher
10. Volker Roth

Who trusts Amaya Nogales-Gómez overall

1. Berk Ustun
2. Cynthia Rudin
3. Emilio Carrizosa

Papers from Amaya Nogales-Gómez's perspective

Ordered by how strongly the researchers Amaya Nogales-Gómez trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. ImageNet classification with deep convolutional neural networks
3. LIBSVM: A library for support vector machines
4. Statistical Learning Theory
5. The Elements of Statistical Learning
6. UCI Repository of machine learning databases
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Gradient-based learning applied to document recognition
10. Regression Shrinkage and Selection via the Lasso

Their papers

• On handling indicator constraints in mixed integer programming (2016) — 113 citations
• Clustering Categories in Support Vector Machines (2017) — 31 citations
• Strongly agree or strongly disagree?: Rating features in Support Vector Machines (2016) — 29 citations