Houshang Darabi

Artificial Intelligence · 2007–2018

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #24,264 of 35,345 by trust here, #21,878 by citations
• Electrical and Electronic Engineering — 20 citations into it; #4,139 of 16,539 by trust here, #6,474 by citations
• Signal Processing — 18 citations into it; #5,017 of 7,572 by trust here, #4,051 by citations
• Computer Vision and Pattern Recognition — 16 citations into it
• Model Architectures — 13 citations into it
• Computer Networks and Communications — 12 citations into it
• Optimization & Training — 6 citations into it
• Economics and Econometrics — 5 citations into it

Whom Houshang Darabi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Alex Graves
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Kaiming He
6. Gary King
7. Jeffrey Hightower
8. Jimmy Ba
9. Sergey Ioffe
10. Alex Krizhevsky

Who trusts Houshang Darabi overall

1. Xuyu Wang
2. Pavel Davidson
3. Trong-Hop Do
4. Sebastian Sadowski
5. Xuchao Zhang
6. Lingjun Gao
7. Ali Khalajmehrabadi
8. Luca Mainetti
9. Zahid Farid
10. Gabriel Deak

Papers from Houshang Darabi's perspective

Ordered by how strongly the researchers Houshang Darabi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Dropout: a simple way to prevent neural networks from overfitting
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Survey of Wireless Indoor Positioning Techniques and Systems (2007) — 4,444 citations
• Multivariate LSTM-FCNs for Time Series Classification (2018) — 1,048 citations
• LSTM Fully Convolutional Networks for Time Series Classification (2017) — 1,303 citations