Ryan J. Urbanowicz

Artificial Intelligence · 2009–2023

A researcher in the Science corpus: 8 papers; trusts 21 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan J. Urbanowicz trusts overall

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

  1. Igor Kononenko
  2. Jason H. Moore
  3. Huan Liu
  4. Heather J. Cordell
  5. Robert Tibshirani
  6. Casey S. Greene
  7. Peter W. Frey
  8. Yijun Sun
  9. Jeff Kiralis
  10. Ester Bernadó-Mansilla

Who trusts Ryan J. Urbanowicz overall

  1. Randal S. Olson
  2. Jason H. Moore
  3. Jing Li
  4. Marc-André Zöller
  5. Nathan Bartley
  6. Jeff Kiralis
  7. Tansel Dökeroğlu
  8. Zexian Zeng
  9. Nicholas Pudjihartono
  10. Davide Chicco

Papers from Ryan J. Urbanowicz's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Regression Shrinkage and Selection via the Lasso

Their papers