Timothy E. Albertson

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Timothy E. Albertson trusts

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

1. Eric R. Ziegel (in Statistics and Probability)
2. Radford M. Neal (in Computer Vision and Pattern Recognition)
3. Marco Scutari (in Artificial Intelligence)

Papers from Timothy E. Albertson's perspective

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

1. Pattern Recognition and Machine Learning
2. The Surviving Sepsis Campaign: results of an international guideline-based performance improvement program targeting severe sepsis (Intensive Care Medicine)
3. The Elements of Statistical Learning
4. Data Analysis with Bayesian Networks: A Bootstrap Approach
5. Early Goal-Directed Therapy in the Treatment of Severe Sepsis and Septic Shock
6. ROC Graphs: Notes and Practical Considerations for Researchers
7. Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock, 2012
8. Learning Bayesian Networks with the bnlearn R Package
9. A simplified acute physiology score for ICU patients
10. APACHE—acute physiology and chronic health evaluation: a physiologically based classification system

Their papers

• From Data to Optimal Decision Making: A Data-Driven, Probabilistic Machine Learning Approach to Decision Support for Patients With Sepsis (2015) — 101 citations
• From vital signs to clinical outcomes for patients with sepsis: a machine learning basis for a clinical decision support system (2014) — 184 citations