Manuel Carranza-García

Management Science and Operations Research · 2020

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 39 citations into it
• Artificial Intelligence — 35 citations into it
• Model Architectures — 21 citations into it
• Time-Series & Forecasting — 12 citations into it
• Economics and Econometrics — 11 citations into it

Whom Manuel Carranza-García trusts overall

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

1. Michael I. Jordan
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. G. Zhang
6. J. Urgen Schmidhuber
7. Vinod Nair
8. Jimmy Ba
9. Kaiming He
10. Alex Krizhevsky

Papers from Manuel Carranza-García's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• An Experimental Review on Deep Learning Architectures for Time Series Forecasting (2020) — 451 citations
• Temporal Convolutional Networks Applied to Energy-Related Time Series Forecasting (2020) — 299 citations