M. C. Deo

IEEE Journal of Oceanic Engineering · 2001–2016

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 13 researchers here, as inferred from the citation graph.

Whom M. C. Deo trusts overall

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

1. Stéphane Mallat

Who trusts M. C. Deo overall

1. Gong Li
2. V. Ediger
3. M. Moeini‐Aghtaie
4. Thanasis G. Barbounis
5. Jing Shi

Papers from M. C. Deo's perspective

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

1. The Cascade-Correlation Learning Architecture
2. A wavelet tour of signal processing
3. Function minimization by conjugate gradients
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. Histograms of oriented gradients for human detection
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. GradientBased Learning Applied to Document Recognition
9. Backpropagation Applied to Handwritten Zip Code Recognition
10. This PDF file includes: Materials and Methods

Their papers

• Forecasting wind with neural networks (2003) — 305 citations
• Neural networks for wave forecasting (2001) — 302 citations
• Neural-Network-Based Data Assimilation to Improve Numerical Ocean Wave Forecast (2016) — 57 citations