Hao Hu

Artificial Intelligence · with Hebrard · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #30,916 of 35,345 by trust here, #31,361 by citations
• Algorithms & Complexity — 8 citations into it; #468 of 516 by trust here, #452 by citations
• Computational Theory and Mathematics — 6 citations into it
• Information Systems — 6 citations into it; #7,411 of 8,771 by trust here, #7,705 by citations

Whom Hao Hu trusts overall

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

1. J. Ross Quinlan
2. Alexey Ignatiev
3. Emir Demirovi'c
4. Leo Breiman
5. J. Berg
6. Peter James Stuckey
7. Trevor J. Hastie
8. Armin Biere
9. Marijn J. H. Heule

Who trusts Hao Hu overall

1. Vinícius G. Costa
2. Carlos Eduardo Pedreira

Papers from Hao Hu's perspective

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

1. C4.5: Programs for Machine Learning
2. Handbook of Satisfiability: Volume 185 Frontiers in Artificial Intelligence and Applications
3. Induction of decision trees
4. Bagging Predictors
5. RC2: an Efficient MaxSAT Solver
6. Random Forests
7. Techniques Inspired by Local Search for Incomplete MaxSAT and the Linear Algorithm: Varying Resolution and Solution-Guided Search
8. Core-Boosted Linear Search for Incomplete MaxSAT
9. Constructing Optimal Binary Decision Trees is NP-Complete
10. Scikit-learn: Machine Learning in Python

Their papers

• Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost (2020) — 54 citations