Avleen Kaur Malhi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Electrical and Electronic Engineering — 11 citations into it
• Accounting — 7 citations into it
• Information Systems — 7 citations into it

Whom Avleen Kaur Malhi trusts overall

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

1. Nitesh V. Chawla
2. Bartosz Krawczyk
3. Jesse Davis
4. Shuo Wang
5. Rushi Longadge
6. Abeed Sarker
7. Haibo He

Papers from Avleen Kaur Malhi's perspective

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

1. SMOTE: Synthetic Minority Over-sampling Technique
2. A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
3. Extreme re-balancing for SVMs: a case study
4. The relationship between Precision-Recall and ROC curves
5. ADASYN: Adaptive synthetic sampling approach for imbalanced learning (IEEE World Congress on Computational Intelligence)
6. Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
7. Learning from imbalanced data: open challenges and future directions
8. Classification of Imbalanced Data: a Review (International journal of pattern recognition and artificial intelligence)
9. Discriminative Learning Under Covariate Shift
10. EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling (Pattern Recognition)

Their papers

• A Systematic Review on Imbalanced Data Challenges in Machine Learning (2019) — 683 citations