Ronaldo Cristiano Prati
Artificial Intelligence · 2004–2018
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 53 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #4,078 of 35,345 by trust here, #6,014 by citations
Whom Ronaldo Cristiano Prati trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gustavo E. A. P. A. Batista
- Jorma Laurikkala
- Pedro M. Domingos
- Nitesh V. Chawla
- Andrew P. Bradley
- Iroon Polytechniou
- J. Ross Quinlan
- Cèsar Ferri
- Bianca Zadrozny
- Charles X. F. Ling
Who trusts Ronaldo Cristiano Prati overall
- Alberto Fernández
- Salvador Garcia
- Victoria López
- Chumphol Bunkhumpornpat
- Francisco Herrera
- Nitesh V. Chawla
- Yanmin Sun
- Mikel Galar
- David A. Cieslak
- Lida Abdi
Papers from Ronaldo Cristiano Prati's perspective
Ordered by how strongly the researchers Ronaldo Cristiano Prati trusts endorse each paper. Same corpus, a different order for every researcher.
- UCI Repository of machine learning databases
- MetaCost: a general method for making classifiers cost-sensitive
- The use of the area under the ROC curve in the evaluation of machine learning algorithms
- The Foundations of Cost-Sensitive Learning
- Learning and making decisions when costs and probabilities are both unknown (Knowledge Discovery and Data Mining)
- C4.5: Programs for Machine Learning
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
- Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm
Their papers
- Learning from Imbalanced Data Sets (2018) — 1,073 citations
- Data mining with imbalanced class distributions: concepts and methods (2009) — 67 citations
- Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior (2004) — 356 citations
- A study of the behavior of several methods for balancing machine learning training data (2004) — 4,104 citations