Maryam Panahiazar
International Journal of Environmental Research and Public Health · 2015–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.
Whom Maryam Panahiazar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Maryam Panahiazar overall
Papers from Maryam Panahiazar's perspective
Ordered by how strongly the researchers Maryam Panahiazar trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Deep Learning
- Multimodal learning with deep Boltzmann machines
- Logistic Regression, AdaBoost and Bregman Distances (Machine-mediated learning)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Epileptic Seizures Detection Using Deep Learning Techniques: A Review (2020) — 385 citations
- Using EHRs and Machine Learning for Heart Failure Survival Analysis (2015) — 134 citations