K. Laws
Science Advances · 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 K. Laws trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Nancy A. Obuchowski (in Epidemiology)
Papers from K. Laws's perspective
Ordered by how strongly the researchers K. Laws 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