Gerhard F. Ecker

Artificial Intelligence · 2008–2021

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Gerhard F. Ecker trusts overall

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

1. Leo Breiman
2. J. Ross Quinlan
3. William W. Cohen
4. Chet Langin

Papers from Gerhard F. Ecker's perspective

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

1. Bagging Predictors
2. Advances in kernel methods: support vector learning
3. C4.5: Programs for Machine Learning
4. Nearest neighbor pattern classification
5. Toward Optimal Feature Selection
6. Selection of Relevant Features and Examples in Machine Learning
7. Wrappers for Feature Subset Selection
8. An Introduction to Variable and Feature Selection
9. Introduction to Data Mining
10. Principal Component Analysis

Their papers

• Open PHACTS: semantic interoperability for drug discovery. (2012) — 324 citations
• CACHE (Critical Assessment of Computational Hit-finding Experiments): A public-private partnership benchmarking initiative to enable the development of computational methods for hit-finding (2021) — 83 citations
• Coexistence of passive and carrier-mediated processes in drug transport (2010) — 610 citations
• On the Relationship Between Feature Selection and Classification Accuracy (2008) — 344 citations