Luke Scime

Mechanical Engineering · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 49 citations into it; #815 of 8,300 by trust here, #3,532 by citations
• Automotive Engineering — 40 citations into it; #392 of 3,081 by trust here, #1,370 by citations
• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 8 citations into it

Whom Luke Scime trusts overall

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

1. Marco Grasso
2. David G. Lowe
3. Yann LeCun
4. Jack L. Beuth
5. Tom Fawcett
6. Thomas Spears
7. K. Taminger
8. Yoshua Bengio
9. Geoffrey E. Hinton
10. Bianca Maria Colosimo

Who trusts Luke Scime overall

1. Guo Dong Goh
2. T. DebRoy
3. Swee Leong Sing
4. W. Y. Yeong
5. T. Mukherjee
6. N. Kouraytem
7. Chao Wei
8. H. Wei
9. Muhammad Hussain
10. Xuxiao Li

Papers from Luke Scime's perspective

Ordered by how strongly the researchers Luke Scime 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A multi-scale convolutional neural network for autonomous anomaly detection and classification in a laser powder bed fusion additive manufacturing process (2018) — 332 citations
• Using machine learning to identify in-situ melt pool signatures indicative of flaw formation in a laser powder bed fusion additive manufacturing process (2019) — 352 citations
• Melt pool geometry and morphology variability for the Inconel 718 alloy in a laser powder bed fusion additive manufacturing process (2019) — 162 citations
• Anomaly Detection and Classification in a Laser Powder Bed Additive Manufacturing Process using a Trained Computer Vision Algorithm (2018) — 465 citations