Hamid Reza Hassanzadeh

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Molecular Biology — 7 citations into it

Whom Hamid Reza Hassanzadeh trusts overall

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

1. Chris H. Q. Ding
2. Sergey Ioffe

Papers from Hamid Reza Hassanzadeh's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Minimum redundancy feature selection from microarray gene expression data (Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003)
3. Distilling Knowledge from Deep Networks with Applications to Healthcare Domain
4. Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. ImageNet classification with deep convolutional neural networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers

• Multimodal deep learning models for early detection of Alzheimer’s disease stage (2021) — 653 citations