Filipe Pereira
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #8,407 of 35,345 by trust here, #14,438 by citations
- Information Systems — 12 citations into it; #1,930 of 8,771 by trust here, #3,198 by citations
- Safety, Robustness & Interpretability — 11 citations into it; #1,438 of 2,251 by trust here, #2,041 by citations
- Computational Theory and Mathematics — 10 citations into it
- Algorithms & Complexity — 7 citations into it; #232 of 516 by trust here, #232 by citations
Whom Filipe Pereira trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Christian Bessiere
- Elaine Angelino
- Randal S. Olson
- Carsten Sinz
- Cynthia Rudin
- Tong Wang
- Uriel Feige
- Himabindu Lakkaraju
- Emmanuel Hebrard
Who trusts Filipe Pereira overall
- Alexey Ignatiev
- Jinqiang Yu
- Emir Demirovi'c
- Nina Narodytska
- Mikoláš Janota
- Joao Marques-Silva
- Peter James Stuckey
- Henrik E. C. Cao
- André Schidler
- Stefan Szeider
Papers from Filipe Pereira's perspective
Ordered by how strongly the researchers Filipe Pereira trusts endorse each paper. Same corpus, a different order for every researcher.
- Et al
- Human-level control through deep reinforcement learning
- Scikit-learn: Machine Learning in Python
- Induction of decision trees
- Classification and regression trees
- Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
- The WEKA data mining software: an update
- Fast Effective Rule Induction
- ImageNet classification with deep convolutional neural networks
- European Union Regulations on Algorithmic Decision-Making and a "Right to Explanation"
Their papers
- A SAT-Based Approach to Learn Explainable Decision Sets (2018) — 63 citations
- Learning Optimal Decision Trees with SAT (2018) — 148 citations