Brendan J. Meade
Seismological Research Letters · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Brendan J. Meade trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Kevin P. Murphy (in Probabilistic & Bayesian Methods)
Papers from Brendan J. Meade's perspective
Ordered by how strongly the researchers Brendan J. Meade trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Learning
- Pattern Recognition and Machine Learning
- Random Forests
- Machine learning - a probabilistic perspective
- Data-driven discovery of partial differential equations
- P Wave Arrival Picking and First‐Motion Polarity Determination With Deep Learning (Journal of Geophysical Research - Solid Earth)
- Non-volcanic tremor and low-frequency earthquake swarms (Nature)
- PDE-Net: Learning PDEs from Data
- Earthquake detection through computationally efficient similarity search (Science Advances)
- Machine Learning Predicts Laboratory Earthquakes (Geophysical Research Letters)
Their papers
- Machine Learning in Seismology: Turning Data into Insights (2018) — 433 citations