Manuel Arias Chao

Control and Systems Engineering · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 21 citations into it; #7,056 of 8,257 by trust here, #6,083 by citations
• Artificial Intelligence — 7 citations into it
• Mechanical Engineering — 7 citations into it
• Safety, Risk, Reliability and Quality — 5 citations into it; #976 of 1,220 by trust here, #865 by citations

Whom Manuel Arias Chao trusts overall

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

1. Xiang Li
2. Diederik P. Kingma
3. Xavier Glorot
4. Simon Justin Julier
5. John L. Crassidis
6. Qian Ding
7. Jared D. Willard
8. Paulo da Costa
9. Yoshua Bengio
10. Jimmy Ba

Who trusts Manuel Arias Chao overall

1. Olga Fink
2. Valentin Sulzer
3. Kai F. Goebel
4. Chetan S. Kulkarni

Papers from Manuel Arias Chao's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Understanding the difficulty of training deep feedforward neural networks
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics (2021) — 312 citations
• Fusing Physics-based and Deep Learning Models for Prognostics (2020) — 388 citations