Michael J. Kane
Statistics and Probability · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 59 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 114 citations into it
- Artificial Intelligence — 91 citations into it
- Computer Vision and Pattern Recognition — 51 citations into it
- Computational Mechanics — 41 citations into it
- Statistical and Nonlinear Physics — 39 citations into it
- Computational Theory and Mathematics — 38 citations into it
- Computer Networks and Communications — 27 citations into it
- Signal Processing — 24 citations into it
Whom Michael J. Kane trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael W. Mahoney
- M. J. van der Laan
- Tim Bollerslev
- Petros Drineas
- Donald B. Rubin
- Robert Tibshirani
- Leo Breiman
- Andy Liaw
- Judea Pearl
- James M. Robins
Who trusts Michael J. Kane overall
Papers from Michael J. Kane's perspective
Ordered by how strongly the researchers Michael J. Kane trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Et al
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Handbook of Big Data (2016) — 63 citations
- Comparison of ARIMA and Random Forest time series models for prediction of avian influenza H5N1 outbreaks (2014) — 353 citations