D. Trugman
Seismological Research Letters · 2013–2018
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom D. Trugman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zachary E. Ross
- Kevin P. Murphy
- Saiprasad Ravishankar
- Julien Mairal
- Trevor J. Hastie
- Men‐Andrin Meier
Papers from D. Trugman's perspective
Ordered by how strongly the researchers D. Trugman trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Learning
- Pattern Recognition and Machine Learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Random Forests
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Machine learning - a probabilistic perspective
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Machine Learning in Seismology: Turning Data into Insights (2018) — 433 citations
- Acoustic emission and microslip precursors to stick‐slip failure in sheared granular material (2013) — 146 citations