Asunción Jiménez-Cordero

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Statistics and Probability — 25 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Statistical Learning Theory — 9 citations into it
• Analytical Chemistry — 8 citations into it
• Molecular Biology — 8 citations into it
• Control and Systems Engineering — 7 citations into it
• Food Science — 5 citations into it

Whom Asunción Jiménez-Cordero trusts overall

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

1. Frédéric Ferraty
2. Eric R. Ziegel
3. Philippe Vieu
4. Emilio Carrizosa
5. Tong Zhang
6. H. Muller
7. Alex Smola
8. Aurore Delaigle
9. James O. Ramsay
10. Peter Hall

Papers from Asunción Jiménez-Cordero's perspective

Ordered by how strongly the researchers Asunción Jiménez-Cordero trusts endorse each paper. Same corpus, a different order for every researcher.

1. Functional Data Analysis
2. Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics)
3. Introduction to Support Vector Machines
4. ImageNet classification with deep convolutional neural networks
5. An Introduction to Variable and Feature Selection
6. Wrappers for Feature Subset Selection
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Most-predictive design points for functional data predictors
9. A Practical Guide to Splines
10. Generalized functional linear models

Their papers

• Selection of time instants and intervals with Support Vector Regression for multivariate functional data (2020) — 12 citations
• Functional-bandwidth kernel for Support Vector Machine with Functional Data: An alternating optimization algorithm (2019) — 20 citations