André Altmann
Artificial Intelligence · 2006–2018
A researcher in the Science corpus: 10 papers; trusts 6 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #19,373 of 35,345 by trust here, #12,083 by citations
- Statistics and Probability — 12 citations into it
- Evaluation & Benchmarks — 8 citations into it; #1,769 of 3,147 by trust here, #1,934 by citations
- Information Systems — 6 citations into it
Whom André Altmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Trevor J. Hastie
- Torsten Hothorn
- Isabelle M Guyon
- Hirotugu Akaike
- Tom Fawcett
- Leo Breiman
- Eric R. Ziegel
- Carolin Strobl
- Mark A. Hall
- Achim Zeileis
Who trusts André Altmann overall
- Aaron Fisher
- Mateusz Staniak
- Sonali Parbhoo
- Cynthia Rudin
- Mengnan Du
- Pantelis Linardatos
- Stefano Nembrini
- Jasmina Bogojeska
- Vukosi Marivate
- Anne-Laure Boulesteix
Papers from André Altmann's perspective
Ordered by how strongly the researchers André Altmann trusts endorse each paper. Same corpus, a different order for every researcher.
- The Elements of Statistical Learning
- Classification and Regression Trees
- Unbiased Recursive Partitioning: A Conditional Inference Framework
- A new look at the statistical model identification
- An Introduction to Variable and Feature Selection
- Fast Effective Rule Induction
- Bias in random forest variable importance measures: Illustrations, sources and a solution
- The Nature of Statistical Learning Theory
- Probabilistic reasoning in intelligent systems - networks of plausible inference
- Basic local alignment search tool.
Their papers
- Permutation importance: a corrected feature importance measure (2010) — 2,570 citations
- Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data (2018) — 204 citations
- Correlated gene expression supports synchronous activity in brain networks (2015) — 614 citations
- Sex Modifies the APOE-Related Risk of Developing Alzheimer's Disease (2014) — 821 citations
- Predicting Response to Antiretroviral Treatment by Machine Learning: The EuResist Project (2012) — 59 citations
- Prediction of response to antiretroviral therapy by human experts and by the EuResist data‐driven expert system (the EVE study) (2010) — 54 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
- Improved Prediction of Response to Antiretroviral Combination Therapy using the Genetic Barrier to Drug Resistance (2006) — 63 citations