D. Roman

Automotive Engineering · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 27 citations into it
• Electrical and Electronic Engineering — 26 citations into it

Whom D. Roman trusts overall

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

1. Xiaosong Hu
2. Bhaskar Saha
3. James Bergstra
4. Yi Li
5. Ian J. Goodfellow
6. Caihao Weng
7. Christoph R. Birkl
8. Abdel Aziz Taha
9. Yoshua Bengio
10. Radford M. Neal

Papers from D. Roman's perspective

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

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

Their papers

• Machine learning pipeline for battery state-of-health estimation (2021) — 536 citations