Yasuo Ariki

Artificial Intelligence · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #28,570 of 35,345 by trust here, #21,878 by citations
• Signal Processing — 7 citations into it; #6,112 of 7,572 by trust here, #4,051 by citations
• Speech & Audio — 5 citations into it

Whom Yasuo Ariki trusts overall

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

1. Hideki Kawahara
2. Geoffrey E. Hinton

Who trusts Yasuo Ariki overall

1. Yu Tsao
2. Hsin-Min Wang
3. Hsin-Te Hwang

Papers from Yasuo Ariki's perspective

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

1. A Fast Learning Algorithm for Deep Belief Nets
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Acoustic Modeling Using Deep Belief Networks
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. Spectral voice conversion for text-to-speech synthesis
9. Gradient-based learning applied to document recognition
10. 3D Object Recognition with Deep Belief Nets

Their papers

• Voice conversion in high-order eigen space using deep belief nets (2013) — 142 citations
• Emotional voice conversion using deep neural networks with MCC and F0 features (2016) — 45 citations