Matloob Khushi

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Management Science and Operations Research — 32 citations into it
• Time-Series & Forecasting — 24 citations into it
• Electrical and Electronic Engineering — 22 citations into it
• Finance — 14 citations into it
• Economics and Econometrics — 12 citations into it
• Signal Processing — 11 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Matloob Khushi trusts overall

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

1. Charles Peter Elkan
2. Haibo He
3. Nitesh V. Chawla
4. Rushi Longadge
5. Justin M. Johnson
6. Taghi M. Khoshgoftaar
7. Gustavo E. A. P. A. Batista
8. Hien M. Nguyen
9. Sara Fotouhi
10. Ha Young Kim

Papers from Matloob Khushi's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. SMOTE: Synthetic Minority Over-sampling Technique
5. A study of the behavior of several methods for balancing machine learning training data
6. Gradient-based learning applied to document recognition
7. ImageNet classification with deep convolutional neural networks
8. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
9. The Foundations of Cost-Sensitive Learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Survey of Forex and Stock Price Prediction Using Deep Learning (2021) — 346 citations
• A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data (2021) — 297 citations