Gulbadan Sikander
Experimental and Cognitive Psychology · 2019
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 12 citations into it
Whom Gulbadan Sikander trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Guosheng Yang
- Carlos Hitoshi Morimoto
- Kosuke Kaida
- F. Karray
- Yingzi Lin
- Sara Lal
- Yann LeCun
- Luis Miguel Bergasa
- Prabir Bhattacharya
- Qiang Ji
Papers from Gulbadan Sikander's perspective
Ordered by how strongly the researchers Gulbadan Sikander trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Convolutional networks for images, speech, and time series
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Can SVM be used for automatic EEG detection of drowsiness during car driving
- Driver drowsiness detection with eyelid related parameters by Support Vector Machine (Expert systems with applications)
- Real-time system for monitoring driver vigilance (Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005.)
- Monotony of road environment and driver fatigue: a simulator study. (Accident Analysis and Prevention)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
Their papers
- Driver Fatigue Detection Systems: A Review (2019) — 456 citations