Alípio Mário Jorge

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Information Systems — 12 citations into it
• Statistics and Probability — 10 citations into it
• Optimization & Training — 7 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Alípio Mário Jorge trusts overall

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

1. Jerome H. Friedman
2. Peter Buhlmann
3. M. Stone
4. Gavin Brown
5. Leo Breiman
6. Ludmila I. Kuncheva
7. Giorgio Giacinto
8. Jyrki Kivinen
9. John F. Kolen

Who trusts Alípio Mário Jorge overall

1. Haitao Liu

Papers from Alípio Mário Jorge's perspective

Ordered by how strongly the researchers Alípio Mário Jorge 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. Bagging Predictors
5. Combining Pattern Classifiers: Methods and Algorithms
6. Projection Pursuit Regression
7. Design of effective neural network ensembles for image classification purposes (Image and Vision Computing)
8. Evolutionary ensembles with negative correlation learning (IEEE Transactions on Evolutionary Computation)
9. New ensemble methods for evolving data streams
10. Backpropagation is Sensitive to Initial Conditions

Their papers

• YAKE! Keyword extraction from single documents using multiple local features (2020) — 714 citations
• Ensemble approaches for regression: A survey (2012) — 690 citations