Francisco Fernandez Rivera

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Statistical Learning Theory — 9 citations into it
• Statistics and Probability — 8 citations into it
• Algorithms & Complexity — 5 citations into it
• Information Systems — 5 citations into it

Whom Francisco Fernandez Rivera trusts overall

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

1. Jerome H. Friedman
2. Eibe Frank
3. Max Kuhn
4. Trevor J. Hastie
5. Chih-Jen Lin
6. Yoav Freund
7. William W. Cohen
8. Pedro M. Domingos
9. John C. Platt
10. B. D. Ripley

Who trusts Francisco Fernandez Rivera overall

1. Velibor V. Misic

Papers from Francisco Fernandez Rivera's perspective

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

1. Experiments with a New Boosting Algorithm
2. Special Invited Paper-Additive logistic regression: A statistical view of boosting
3. LIBSVM: A library for support vector machines
4. Regularization Paths for Generalized Linear Models via Coordinate Descent
5. LIBLINEAR: A Library for Large Linear Classification
6. Classification and regression trees
7. Fast Effective Rule Induction
8. Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
9. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
10. The Random Subspace Method for Constructing Decision Forests

Their papers

• Graph-based approach for airborne light detection and ranging segmentation (2014) — 370 citations