Siamac Fazli

Cognitive Neuroscience · 2010–2019

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 58 citations into it
• Cellular and Molecular Neuroscience — 26 citations into it
• Artificial Intelligence — 24 citations into it
• Electrical and Electronic Engineering — 18 citations into it
• Statistical Learning Theory — 9 citations into it
• Statistics and Probability — 9 citations into it

Whom Siamac Fazli trusts overall

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

1. Benjamin Blankertz
2. Eric R. Ziegel
3. Yann LeCun
4. Alex Smola

Who trusts Siamac Fazli overall

1. Bo Dai
2. Matthew J. Hirn

Papers from Siamac Fazli's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. The Nature of Statistical Learning Theory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. The Elements of Statistical Learning
6. Natural Language Processing (Almost) from Scratch
7. Learning Multiple Layers of Features from Tiny Images
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies. (2013) — 563 citations
• EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy (2019) — 575 citations
• Learning Invariant Representations of Molecules for Atomization Energy Prediction (2012) — 136 citations
• The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology (2010) — 396 citations