A. Rosellini
Statistics and Probability · 2020
A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 16 citations into it
- Artificial Intelligence — 14 citations into it
Whom A. Rosellini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from A. Rosellini's perspective
Ordered by how strongly the researchers A. Rosellini trusts endorse each paper. Same corpus, a different order for every researcher.
- Stochastic gradient boosting
- Addendum: Regularization and variable selection via the elastic net
- Unbiased Recursive Partitioning: A Conditional Inference Framework
- Bias in random forest variable importance measures: Illustrations, sources and a solution
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Toward the future of psychiatric diagnosis: the seven pillars of RDoC (BMC Medicine)
- Energy and Policy Considerations for Deep Learning in NLP
- Discriminant Analysis When the Initial Samples Are Misclassified
- Reduction Techniques for Instance-Based Learning Algorithms
- Applying Quantitative Bias Analysis to Epidemiologic Data (Statistics for Biology and Health)
Their papers
- Supervised machine learning: A brief primer (2020) — 681 citations