Gilles Vandewiele

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 — 26 citations into it
• ML Systems & Hardware — 6 citations into it
• Economics and Econometrics — 5 citations into it

Whom Gilles Vandewiele trusts overall

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

1. J. Ross Quinlan
2. Houtao Deng
3. Artur Andrzejak
4. Niko Speybroeck
5. Thomas G. Dietterich
6. Rodrigo C. Barros
7. Tianqi Chen
8. Leo Breiman
9. Anneleen Van Assche
10. Felix Langner

Who trusts Gilles Vandewiele overall

1. Osbert Bastani
2. Yashesh D. Dhebar
3. Carolyn Kim
4. Houtao Deng

Papers from Gilles Vandewiele's perspective

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

1. C4.5: Programs for Machine Learning
2. Random Forests
3. ImageNet classification with deep convolutional neural networks
4. Classification and regression trees
5. Gradient-based learning applied to document recognition
6. Scikit-learn: Machine Learning in Python
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. XGBoost: A Scalable Tree Boosting System
10. Bagging Predictors

Their papers

• GENESIM: genetic extraction of a single, interpretable model (2016) — 36 citations
• Tslearn, A Machine Learning Toolkit for Time Series Data (2020) — 534 citations
• A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles (2017) — 14 citations