Femke Ongenae

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Algorithms & Complexity — 5 citations into it

Whom Femke Ongenae trusts overall

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

1. J. Ross Quinlan
2. Houtao Deng
3. Niko Speybroeck
4. Artur Andrzejak
5. Rodrigo C. Barros
6. Tianqi Chen
7. Thomas G. Dietterich

Papers from Femke Ongenae's perspective

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

1. C4.5: Programs for Machine Learning
2. Random Forests
3. Classification and regression trees
4. XGBoost: A Scalable Tree Boosting System
5. Classification and Regression Trees
6. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
7. Multiple Classifier Systems
8. SPLIT SELECTION METHODS FOR CLASSIFICATION TREES
9. Seeing the Forest Through the Trees
10. A Survey of Evolutionary Algorithms for Decision-Tree Induction

Their papers

• GENESIM: genetic extraction of a single, interpretable model (2016) — 36 citations
• Performance analysis of single board computer clusters (2020) — 363 citations
• A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles (2017) — 14 citations