Beatriz de la Iglesia

Artificial Intelligence · 2006–2015

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #31,068 of 35,345 by trust here, #25,809 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Beatriz de la Iglesia trusts overall

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

1. Jerome H. Friedman
2. Mark A. Hall
3. Kari Torkkola
4. Hanchuan Peng
5. Chris H. Q. Ding
6. Kalyanmoy Deb
7. Daphne Koller
8. George H. John
9. Iffat A. Gheyas
10. Xiaofei He

Who trusts Beatriz de la Iglesia overall

1. Ayush Jaiswal
2. Paul J. McMurdie

Papers from Beatriz de la Iglesia's perspective

Ordered by how strongly the researchers Beatriz de la Iglesia trusts endorse each paper. Same corpus, a different order for every researcher.

1. Information Theory: 1948-1998 - Guest Editorial
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. UCI Repository of machine learning databases
6. Wrappers for Feature Subset Selection
7. Learning Multiple Layers of Features from Tiny Images
8. An Introduction to Variable and Feature Selection
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Survey on Feature Selection (2015) — 255 citations
• Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms (2006) — 568 citations