Casey Falk

Artificial Intelligence · 2016

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

Subfields

• Artificial Intelligence — 30 citations into it; #23,983 of 35,345 by trust here, #9,641 by citations

Whom Casey Falk trusts overall

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

1. Trevor J. Hastie
2. J. Ross Quinlan
3. Robert Tibshirani
4. David Freedman
5. Jiaming Zeng
6. Yossi Rubner
7. Berk Ustun
8. Michael Feldman
9. Girish Chandrashekar
10. Cristian Bucila

Who trusts Casey Falk overall

1. Lu Zhang
2. Yongkai Wu
3. Xintao Wu
4. Thibault Laugel
5. Sarah Tan
6. Luca Oneto
7. Jaspreet Singh
8. Giulia Vilone
9. Dena F. Mujtaba
10. Brent Daniel Mittelstadt

Papers from Casey Falk's perspective

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

1. Random Forests
2. Visualizing and Understanding Convolutional Networks
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. LIBSVM: A library for support vector machines
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Auditing black-box models for indirect influence (2016) — 310 citations
• Machine-learning-assisted materials discovery using failed experiments (2016) — 1,511 citations
• Auditing Black-box Models by Obscuring Features (2016) — 26 citations