Lars Asker

Evaluation & Benchmarks · 2014–2015

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

Subfields

• Evaluation & Benchmarks — 7 citations into it

Whom Lars Asker trusts overall

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

1. Jaka Demsar
2. J. Ross Quinlan
3. Ron Kohavi
4. Salvador Garcia

Who trusts Lars Asker overall

1. Andreas Henelius

Papers from Lars Asker's perspective

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

1. Support-Vector Networks
2. The CN2 Induction Algorithm
3. Statistical Comparisons of Classifiers over Multiple Data Sets
4. The WEKA data mining software: an update
5. The use of the area under the ROC curve in the evaluation of machine learning algorithms
6. A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis (IEEE/ACM Transactions on Computational Biology & Bioinformatics)
7. An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons
8. Wrappers for Feature Subset Selection
9. Using electronic health records to drive discovery in disease genomics
10. Using Electronic Patient Records to Discover Disease Correlations and Stratify Patient Cohorts

Their papers

• GoldenEye++: A Closer Look into the Black Box (2015) — 18 citations
• Predictive modeling of structured electronic health records for adverse drug event detection (2015) — 78 citations
• A peek into the black box: exploring classifiers by randomization (2014) — 121 citations