Adriana Felicia Gabor

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 Adriana Felicia Gabor 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

Papers from Adriana Felicia Gabor's perspective

Ordered by how strongly the researchers Adriana Felicia Gabor 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. Efficient Non-greedy Optimization of Decision Trees
4. Boolean Decision Rules via Column Generation
5. The NP-Completeness Column: An Ongoing Guide
6. Optimal classification trees
7. Minimising Decision Tree Size as Combinatorial Optimisation
8. An Algorithm for Constructing Optimal Binary Decision Trees
9. Learning fuzzy decision trees using integer programming
10. Learning Optimal Classification Trees Using a Binary Linear Program Formulation

Their papers

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