Kai Görgen
Cognitive Neuroscience · 2014–2015
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 42 citations into it; #7,704 of 10,852 by trust here, #3,702 by citations
- Artificial Intelligence — 11 citations into it; #35,120 of 35,345 by trust here, #13,962 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Kai Görgen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin
- Nikolaus Kriegeskorte
- John-Dylan Haynes
- Robert Tibshirani
- Thomas Naselaris
- Corinna Cortes
- K. Müller
- Benjamin Blankertz
- Karl J. Friston
- Steven Lemm
Who trusts Kai Görgen overall
Papers from Kai Görgen's perspective
Ordered by how strongly the researchers Kai Görgen trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Support-Vector Networks
- ImageNet classification with deep convolutional neural networks
- LIBSVM: A library for support vector machines
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex (NeuroImage)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Addendum: Regularization and variable selection via the elastic net
- LIBLINEAR: A Library for Large Linear Classification
Their papers
- On the interpretation of weight vectors of linear models in multivariate neuroimaging (2014) — 1,365 citations
- The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data (2015) — 419 citations