José-Marcio Luna

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Reinforcement Learning — 13 citations into it
• Statistics and Probability — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom José-Marcio Luna trusts overall

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

1. Jerome H. Friedman
2. Jaka Demsar
3. Yoav Freund
4. R. Caruana
5. Abhishek Kumar

Who trusts José-Marcio Luna overall

1. Mohammad Rostami
2. Javad Azizi
3. Sina Aghaei
4. Guang Yang

Papers from José-Marcio Luna's perspective

Ordered by how strongly the researchers José-Marcio Luna trusts endorse each paper. Same corpus, a different order for every researcher.

1. Et al
2. Special Invited Paper-Additive logistic regression: A statistical view of boosting
3. Greedy function approximation: A gradient boosting machine.
4. A decision-theoretic generalization of on-line learning and an application to boosting
5. Transfer Learning for Reinforcement Learning Domains: A Survey
6. ImageNet classification with deep convolutional neural networks
7. Dynamic Programming and Optimal Control, Two Volume Set
8. Statistical Comparisons of Classifiers over Multiple Data Sets
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. ELLA: An Efficient Lifelong Learning Algorithm

Their papers

• MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine (2016) — 111 citations
• Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning (2015) — 81 citations