Firuz Kamalov

Artificial Intelligence · with Atiya · 2023

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 — 18 citations into it

Whom Firuz Kamalov trusts overall

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

1. Nitesh V. Chawla

Papers from Firuz Kamalov's perspective

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

1. SMOTE: Synthetic Minority Over-sampling Technique
2. Strategies for learning in class imbalance problems (Pattern Recognition)
3. SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
4. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
5. The use of the area under the ROC curve in the evaluation of machine learning algorithms
6. MetaCost: a general method for making classifiers cost-sensitive
7. A study of the behavior of several methods for balancing machine learning training data
8. Robust Classification for Imprecise Environments
9. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
10. Fast Effective Rule Induction

Their papers

• A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning (2023) — 374 citations