Morteza Alamgir
Cognitive Neuroscience · 2010–2015
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 12 citations into it; #10,577 of 10,852 by trust here, #6,902 by citations
- Artificial Intelligence — 7 citations into it
- Signal Processing — 7 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Morteza Alamgir trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Herbert Ramoser
- Jonathan R. Wolpaw
- Theodoros Evgeniou
- Kai Yu
- Kwangmoo Koh
- Hal Daumé Iii
- Benjamin Blankertz
- David Ruppert
- J. Müller-Gerking
- Dennis J. McFarland
Who trusts Morteza Alamgir overall
Papers from Morteza Alamgir's perspective
Ordered by how strongly the researchers Morteza Alamgir trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Optimal spatial filtering of single trial EEG during imagined hand movement. (IEEE transactions on rehabilitation engineering)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Multitask Learning
Their papers
- Density estimation from unweighted k-nearest neighbor graphs: a roadmap (2013)
- Transfer Learning in Brain-Computer Interfaces (2015) — 444 citations
- Multitask Learning for Brain-Computer Interfaces (2010) — 98 citations