Katherine E. Niehaus

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Medical & Health AI — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Katherine E. Niehaus trusts overall

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

1. Jack E. Zimmerman

Papers from Katherine E. Niehaus's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
3. Representation Learning: A Review and New Perspectives
4. Support-Vector Networks
5. Practical Bayesian Optimization of Machine Learning Algorithms
6. Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
7. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study.
8. C4.5: Programs for Machine Learning
9. Maximum Likelihood Estimation of Observer Error‐Rates Using the EM Algorithm
10. Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today’s critically ill patients*

Their papers

• Machine Learning and Decision Support in Critical Care (2016) — 408 citations