Emmanuel Hebrard

Artificial Intelligence · 2006–2020

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it; #7,788 of 35,345 by trust here, #13,353 by citations
• Algorithms & Complexity — 29 citations into it; #467 of 516 by trust here, #380 by citations
• Information Systems — 23 citations into it; #1,202 of 8,771 by trust here, #3,315 by citations
• Statistical Learning Theory — 19 citations into it
• Computational Theory and Mathematics — 17 citations into it; #2,368 of 12,182 by trust here, #4,531 by citations
• Optimization & Training — 10 citations into it; #2,405 of 2,601 by trust here, #2,259 by citations
• Evaluation & Benchmarks — 6 citations into it

Whom Emmanuel Hebrard trusts overall

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

1. J. Ross Quinlan
2. Siegfried Nijssen
3. Dimitris J. Bertsimas
4. Sicco Verwer
5. Florent Avellaneda
6. Leo Breiman
7. Alexey Ignatiev
8. Gaël Aglin
9. Mohammed J. Zaki
10. Yingqian Zhang

Who trusts Emmanuel Hebrard overall

1. Alexey Ignatiev
2. Sicco Verwer
3. Florent Avellaneda
4. David Dufour
5. Vinícius G. Costa
6. Mikoláš Janota
7. Sebastian Ordyniak
8. Yacine Izza
9. Nina Narodytska
10. Gaël Aglin

Papers from Emmanuel Hebrard's perspective

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

1. Induction of decision trees
2. C4.5: Programs for Machine Learning
3. Classification and regression trees
4. Learning Optimal Decision Trees with SAT
5. Optimal classification trees
6. Random Forests
7. Classification and regression trees
8. Scikit-learn: Machine Learning in Python
9. Bagging Predictors
10. Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making

Their papers

• Minimising Decision Tree Size as Combinatorial Optimisation (2009) — 81 citations
• MurTree: Optimal Decision Trees via Dynamic Programming and Search (2020) — 89 citations
• Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost (2020) — 54 citations
• MurTree: Optimal Classification Trees via Dynamic Programming and Search (2020) — 19 citations
• Symmetry Breaking (2006) — 465 citations