Syed Qamrun Nisa
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom Syed Qamrun Nisa trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Hamid Zouaki (in Artificial Intelligence)
- Omar Alheyane (in Artificial Intelligence)
- Hiba Chougrad (in Artificial Intelligence)
Papers from Syed Qamrun Nisa's perspective
Ordered by how strongly the researchers Syed Qamrun Nisa trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- On the Quality of the Initial Basin in Overspecified Neural Networks
- Classification of breast cancer histology images using Convolutional Neural Networks (PLoS ONE)
- Wide & Deep Learning for Recommender Systems
- A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images (IEEE Transactions on Medical Imaging)
- A survey of deep neural network architectures and their applications
- Deep Convolutional Neural Networks for breast cancer screening (Comput. Methods Programs Biomed.)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Adam Optimization Algorithm for Wide and Deep Neural Network (2019) — 379 citations