Yousef Abdi
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it
Whom Yousef Abdi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert E. Schapire
- Leo Breiman
- Jaka Demsar
- Yoav Freund
- Tianqi Chen
- Jin Huang
- Davide Chicco
- Jerome H. Friedman
- Yanmin Sun
- Mikel Galar
Who trusts Yousef Abdi overall
Papers from Yousef Abdi's perspective
Ordered by how strongly the researchers Yousef Abdi trusts endorse each paper. Same corpus, a different order for every researcher.
- A decision-theoretic generalization of on-line learning and an application to boosting
- Bagging Predictors
- Greedy function approximation: A gradient boosting machine.
- Statistical Comparisons of Classifiers over Multiple Data Sets
- XGBoost: A Scalable Tree Boosting System
- Using AUC and accuracy in evaluating learning algorithms (IEEE Transactions on Knowledge and Data Engineering)
- BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
- A study of the behavior of several methods for balancing machine learning training data
- Ensemble-based classifiers
- A Brief Introduction to Boosting
Their papers
- Boosting methods for multi-class imbalanced data classification: an experimental review (2020) — 422 citations