Kazuyuki Murase

Artificial Intelligence · 2003–2016

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #16,737 of 35,345 by trust here, #19,018 by citations
• Model Architectures — 14 citations into it
• Management Science and Operations Research — 12 citations into it; #7,594 of 11,946 by trust here, #10,392 by citations
• Optimization & Training — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it; #13,965 of 21,575 by trust here, #15,162 by citations
• Economics and Econometrics — 5 citations into it

Whom Kazuyuki Murase trusts overall

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

1. Leo Breiman
2. Xin Yao
3. Robert A. Jacobs
4. Robert E. Schapire
5. Thomas G. Dietterich
6. Yong Liu
7. Anders Krogh
8. David E. Rumelhart
9. Weizhong Yan
10. Geoffrey E. Hinton

Who trusts Kazuyuki Murase overall

1. Kasun Bandara

Papers from Kazuyuki Murase's perspective

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

1. Bagging Predictors
2. A decision-theoretic generalization of on-line learning and an application to boosting
3. Adaptive Mixtures of Local Experts
4. ImageNet classification with deep convolutional neural networks
5. The Strength of Weak Learnability
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Hierarchical Mixtures of Experts and the EM Algorithm
8. Gradient-based learning applied to document recognition
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Random Forests

Their papers

• Layered Ensemble Architecture for Time Series Forecasting (2016) — 38 citations
• A New Adaptive Merging and Growing Algorithm for Designing Artificial Neural Networks (2009) — 129 citations
• A constructive algorithm for training cooperative neural network ensembles (2003) — 329 citations