Kenji Yamanishi

Knowledge Discovery and Data Mining · 2000–2006

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Whom Kenji Yamanishi trusts overall

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

1. Jorma Rissanen
2. Radford M. Neal
3. Geoffrey E. Hinton
4. Jun'ichi Takeuchi
5. Rakesh Agrawal
6. Graham J. Williams

Who trusts Kenji Yamanishi overall

1. Song Liu
2. Manish Gupta
3. Yoshinobu Kawahara
4. Fei Tony Liu
5. Masashi Sugiyama
6. Stefano Zanero
7. Matthew V. Mahoney
8. Jun'ichi Takeuchi
9. Graham J. Williams
10. Simon Hawkins

Papers from Kenji Yamanishi's perspective

Ordered by how strongly the researchers Kenji Yamanishi 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. Fast Algorithms for Mining Association Rules
4. On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms (Knowledge Discovery and Data Mining)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Building a question answering test collection

Their papers

• Mining product reputations on the Web (2002) — 501 citations
• A unifying framework for detecting outliers and change points from time series (2006) — 303 citations
• A unifying framework for detecting outliers and change points from non-stationary time series data (2002) — 352 citations
• On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms (2000) — 718 citations