Jeeheh Oh
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #30,506 of 35,345 by trust here, #31,361 by citations
- Statistics and Probability — 8 citations into it
Whom Jeeheh Oh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hui Zou
- Joseph Sill
- Vladimir Naumovich Vapnik
- Mário A. T. Figueiredo
- Thibault Helleputte
- David Martens
- Arie Ben-David
- Ikaro Silva
- Igor Kononenko
Who trusts Jeeheh Oh overall
Papers from Jeeheh Oh's perspective
Ordered by how strongly the researchers Jeeheh Oh trusts endorse each paper. Same corpus, a different order for every researcher.
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
- The Adaptive Lasso and Its Oracle Properties
- A simplified acute physiology score for ICU patients
- Monotonic Networks
- Burden of Clostridium difficile Infection in the United States (New England Journal of Medicine)
- Learning using privileged information: similarity control and knowledge transfer
- Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms
- Learning from Sparse Data by Exploiting Monotonicity Constraints
- Learning Data-Driven Patient Risk Stratification Models for Clostridium difficile
- Partially supervised feature selection with regularized linear models
Their papers
- A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers (2018) — 118 citations
- Learning Credible Models (2017) — 30 citations