T. Williams
Science Advances · with Hattrick-Simpers · 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 T. Williams trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from T. Williams's perspective
Ordered by how strongly the researchers T. Williams trusts endorse each paper. Same corpus, a different order for every researcher.
- Prediction of high-entropy stabilized solid-solution in multi-component alloys
- Receiver operating characteristic curves and their use in radiology. (Radiology)
- The WEKA data mining software: an update
- A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials
- Applications of high throughput (combinatorial) methodologies to electronic, magnetic, optical, and energy-related materials
- Organic Glasses with Exceptional Thermodynamic and Kinetic Stability (Science)
- Machine-learning-assisted materials discovery using failed experiments
- Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. (Journal of Clinical Epidemiology)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Deep Learning