Michal Rosen-Zvi

Artificial Intelligence · with Zazzi · 2008–2012

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Statistics and Probability — 6 citations into it

Whom Michal Rosen-Zvi trusts overall

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

1. Hirotugu Akaike
2. Mark A. Hall
3. Tom Fawcett
4. André Altmann
5. Eric R. Ziegel
6. William W. Cohen

Who trusts Michal Rosen-Zvi overall

1. Vukosi Marivate
2. Jasmina Bogojeska
3. Sonali Parbhoo
4. Maurizio Zazzi
5. Steffen Bickel

Papers from Michal Rosen-Zvi's perspective

Ordered by how strongly the researchers Michal Rosen-Zvi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Classification and Regression Trees
2. Wrappers for Feature Subset Selection
3. Correlation-based Feature Selection for Machine Learning
4. An introduction to ROC analysis
5. Probabilistic reasoning in intelligent systems - networks of plausible inference
6. The Elements of Statistical Learning
7. Basic local alignment search tool.
8. A new look at the statistical model identification
9. Identification of common molecular subsequences.
10. Update of the Drug Resistance Mutations in HIV-1.

Their papers

• History-alignment models for bias-aware prediction of virological response to HIV combination therapy (2012) — 10 citations
• Predicting Response to Antiretroviral Treatment by Machine Learning: The EuResist Project (2012) — 59 citations
• Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models (2010) — 110 citations
• Selecting anti-HIV therapies based on a variety of genomic and clinical factors (2008) — 75 citations
• Investigation of expert rule bases, logistic regression, and non-linear machine learning techniques for predicting response to antiretroviral treatment (2008) — 55 citations