Jun'ichi Takeuchi

Knowledge Discovery and Data Mining · 2000–2006

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Whom Jun'ichi Takeuchi trusts overall

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

1. Jorma Rissanen
2. Radford M. Neal
3. Kenji Yamanishi
4. Geoffrey E. Hinton

Who trusts Jun'ichi Takeuchi overall

1. Song Liu
2. Manish Gupta
3. Yoshinobu Kawahara
4. Gioele Ciaparrone
5. Masashi Sugiyama
6. Fei Tony Liu
7. Makoto Yamada
8. Ludmila I. Kuncheva
9. Kenji Yamanishi
10. Nigel Collier

Papers from Jun'ichi Takeuchi's perspective

Ordered by how strongly the researchers Jun'ichi Takeuchi trusts endorse each paper. Same corpus, a different order for every researcher.

1. On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms (Knowledge Discovery and Data Mining)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• 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