K. Khorasani
Artificial Intelligence · 2000–2018
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
- Computer Networks and Communications — 9 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Cognitive Neuroscience — 5 citations into it; #7,780 of 10,852 by trust here, #8,899 by citations
Whom K. Khorasani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Murat Arcak
- David E. Rumelhart
- Yann LeCun
- Geoffrey E. Hinton
- Wei Ren
- Xin Yao
- Alex Krizhevsky
- R. Beard
- Ilya Sutskever
- Hubert Cecotti
Who trusts K. Khorasani overall
Papers from K. Khorasani's perspective
Ordered by how strongly the researchers K. Khorasani 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients (2018) — 342 citations
- Optimal Consensus Seeking in a Network of Multiagent Systems: An LMI Approach (2010) — 77 citations
- A new strategy for adaptively constructing multilayer feedforward neural networks (2003) — 90 citations
- Flexible-Link Robot Manipulators: Control Techniques and Structural Design (2000) — 59 citations