Enislay Ramentol
Artificial Intelligence · 2012–2019
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 — 24 citations into it
Whom Enislay Ramentol trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Salvador Garcia
- Jaka Demsar
- Johannes Fürnkranz
- Gary M. Weiss
- Alberto Fernández
- Jin Huang
- Nitesh V. Chawla
- Francisco Herrera
- Chumphol Bunkhumpornpat
- Hui Han
Who trusts Enislay Ramentol overall
- Paula Branco
- Haoyue Liu
- Octavio Loyola-González
- Luís Torgo
- Mengchu Zhou
- José Francisco Martínez Trinidad
- Salman Hameed Khan
Papers from Enislay Ramentol's perspective
Ordered by how strongly the researchers Enislay Ramentol trusts endorse each paper. Same corpus, a different order for every researcher.
- The use of the area under the ROC curve in the evaluation of machine learning algorithms
- Statistical Comparisons of Classifiers over Multiple Data Sets
- Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
- Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- C4.5: Programs for Machine Learning
- SMOTE: Synthetic Minority Over-sampling Technique
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 10 Challenging Problems in Data Mining Research (International Journal of Information Technology and Decision Making)