Guillaume Crognier

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Algorithms & Complexity — 12 citations into it
• Information Systems — 11 citations into it
• Statistical Learning Theory — 7 citations into it
• Mathematical Optimization — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Guillaume Crognier trusts overall

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

1. Sicco Verwer
2. J. Ross Quinlan
3. Yingqian Zhang
4. Dimitris J. Bertsimas
5. Sanjeeb Dash
6. Oktay Günlük
7. Wei-Yin Loh
8. Matt Menickelly
9. Leo Breiman
10. Mohammad Norouzi

Who trusts Guillaume Crognier overall

1. Sicco Verwer

Papers from Guillaume Crognier's perspective

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

1. Induction of decision trees
2. Constructing Optimal Binary Decision Trees is NP-Complete
3. ImageNet classification with deep convolutional neural networks
4. Efficient Non-greedy Optimization of Decision Trees
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Boolean Decision Rules via Column Generation
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. The NP-Completeness Column: An Ongoing Guide
10. Optimal classification trees

Their papers

• Column generation based heuristic for learning classification trees (2020) — 28 citations
• Constructing classification trees using column generation (2018) — 7 citations