Md. Kamrul Hasan

Artificial Intelligence · with Alam · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it

Whom Md. Kamrul Hasan trusts overall

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

1. Robert E. Schapire
2. Thomas M. Cover
3. Calyampudi R. Rao
4. Sarah Jane Delany
5. Balázs Harangi
6. Tianqi Chen
7. Sylvain Arlot
8. Sofiane Brahim-Belhouari
9. Nitish Srivastava
10. Geoffrey E. Hinton

Papers from Md. Kamrul Hasan's perspective

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

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

Their papers

• Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers (2020) — 451 citations