Sean Paradiso

Integrating Materials and Manufacturing Innovation · 2017

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

Whom Sean Paradiso trusts overall

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

1. Ruben Martinez-Cantin

Papers from Sean Paradiso's perspective

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

1. Random Forests
2. Visualizing Data using t-SNE
3. Bayesian Experimental Design: A Review
4. Active Learning with Statistical Models
5. Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife
6. A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials
7. 014: On the "Probable Error" of a Coefficient of Correlation Deduced from a Small Sample.
8. BayesOpt: a Bayesian optimization library for nonlinear optimization, experimental design and bandits
9. ImageNet classification with deep convolutional neural networks
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• High-Dimensional Materials and Process Optimization Using Data-Driven Experimental Design with Well-Calibrated Uncertainty Estimates (2017) — 178 citations