Md. Ashraful Alam

Artificial Intelligence · 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. Ashraful Alam 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

Papers from Md. Ashraful Alam's perspective

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

1. Dropout: a simple way to prevent neural networks from overfitting
2. Random Forests
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. XGBoost: A Scalable Tree Boosting System
8. Going deeper with convolutions
9. Searching for Activation Functions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

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