Pierre Schaus

Artificial Intelligence · 2020

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #12,597 of 35,345 by trust here, #21,878 by citations
• Algorithms & Complexity — 16 citations into it; #251 of 516 by trust here, #241 by citations
• Statistical Learning Theory — 12 citations into it
• Information Systems — 10 citations into it; #2,310 of 8,771 by trust here, #3,402 by citations
• Computational Theory and Mathematics — 8 citations into it; #10,070 of 12,182 by trust here, #6,463 by citations

Whom Pierre Schaus trusts overall

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

1. J. Ross Quinlan
2. Siegfried Nijssen
3. Niko Speybroeck
4. Sicco Verwer
5. Florent Avellaneda
6. Élisa Fromont
7. Dimitris J. Bertsimas
8. Nina Narodytska
9. Christian Bessiere

Who trusts Pierre Schaus overall

1. Emir Demirovi'c
2. Peter James Stuckey
3. Anna Lukina
4. Emilio Carrizosa

Papers from Pierre Schaus's perspective

Ordered by how strongly the researchers Pierre Schaus 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. Learning Optimal Decision Trees with SAT
4. Lower Bounds on Learning Decision Lists and Trees
5. Classification and regression trees
6. Fast Discovery of Association Rules
7. Information Theory: 1948-1998 - Guest Editorial
8. Learning Optimal Decision Trees Using Caching Branch-and-Bound Search
9. Programs for Machine Learning
10. Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making

Their papers

• Learning optimal decision trees using constraint programming (2020) — 97 citations
• PyDL8.5: a Library for Learning Optimal Decision Trees (2020) — 33 citations
• Learning Optimal Decision Trees Using Caching Branch-and-Bound Search (2020) — 139 citations