Jorge Freire de Sousa

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Statistics and Probability — 10 citations into it
• Information Systems — 7 citations into it
• Optimization & Training — 7 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Jorge Freire de Sousa trusts overall

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

1. Jerome H. Friedman
2. M. Stone
3. Peter Buhlmann
4. Gavin Brown
5. Leo Breiman

Papers from Jorge Freire de Sousa's perspective

Ordered by how strongly the researchers Jorge Freire de Sousa trusts endorse each paper. Same corpus, a different order for every researcher.

1. Greedy function approximation: A gradient boosting machine.
2. Cross‐Validatory Choice and Assessment of Statistical Predictions
3. Stochastic gradient boosting
4. Combining Pattern Classifiers: Methods and Algorithms
5. Design of effective neural network ensembles for image classification purposes (Image and Vision Computing)
6. Evolutionary ensembles with negative correlation learning (IEEE Transactions on Evolutionary Computation)
7. Projection Pursuit Regression
8. New ensemble methods for evolving data streams
9. Backpropagation is Sensitive to Initial Conditions
10. Diversity creation methods: a survey and categorisation (Information Fusion)

Their papers

• Ensemble approaches for regression: A survey (2012) — 690 citations