Anca L. Ralescu

Artificial Intelligence · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Electrical and Electronic Engineering — 14 citations into it
• Statistical Learning Theory — 7 citations into it
• Accounting — 6 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Information Systems — 5 citations into it

Whom Anca L. Ralescu trusts overall

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

1. Nitesh V. Chawla
2. Niko Speybroeck
3. Nathalie Japkowicz
4. Isabelle M Guyon
5. Salvador Garcia
6. Ron Kohavi
7. David D. Lewis
8. Zhi-Hua Zhou
9. Lei Yu
10. Shuo Wang

Papers from Anca L. Ralescu's perspective

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

1. SMOTE: Synthetic Minority Over-sampling Technique
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
7. The class imbalance problem: A systematic study
8. Mining with rarity: a unifying framework
9. An Introduction to Variable and Feature Selection
10. Ieee Transactions on Knowledge and Data Engineering 1 Training Cost-sensitive Neural Networks with Methods Addressing the Class Imbalance Problem

Their papers

• Classification with class imbalance problem: A review (2015) — 384 citations
• Confusion Matrix-based Feature Selection (2011) — 455 citations