Sheikh Rabiul Islam

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Accounting — 5 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Finance — 5 citations into it

Whom Sheikh Rabiul Islam trusts overall

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

1. Erik Strumbelj
2. Stan Lipovetsky
3. Scott M. Lundberg
4. Rakesh Agrawal
5. Bernhard E. Boser
6. Marco Tulio Ribeiro
7. Avanti Shrikumar
8. Trevor J. Hastie
9. Anupam Datta
10. Sebastian Bach

Papers from Sheikh Rabiul Islam's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. ImageNet Large Scale Visual Recognition Challenge
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction (2019) — 25 citations