Christian Andreas Kothe
Cognitive Neuroscience · 2011–2015
A researcher in the Science corpus: 6 papers; trusts 35 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 71 citations into it; #1,699 of 10,852 by trust here, #2,173 by citations
- Cellular and Molecular Neuroscience — 20 citations into it
- Signal Processing — 16 citations into it
- Artificial Intelligence — 14 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Statistics and Probability — 10 citations into it
- Electrical and Electronic Engineering — 6 citations into it; #8,130 of 16,539 by trust here, #9,402 by citations
- Statistical Learning Theory — 6 citations into it
Whom Christian Andreas Kothe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Benjamin Blankertz
- Radford M. Neal
- R. Fisher
- Arnaud Delorme
- György Buzsáki
- Steven Lemm
- Tommi S. Jaakkola
- Olivier Ledoit
- Scott Makeig
- Guido Dornhege
Who trusts Christian Andreas Kothe overall
- L. J. Gabard-Durnam
- Chi-Yuan Chang
- T. Mullen
- A. Lekova
- Fabien Lotte
- Nima Bigdely Shamlo
- Luca Pion-Tonachini
- Adriana S Méndez Leal
- Sheng-Hsiou Hsu
- I. Chavdarov
Papers from Christian Andreas Kothe's perspective
Ordered by how strongly the researchers Christian Andreas Kothe trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Towards passive brain–computer interfaces: applying brain–computer interface technology to human–machine systems in general (2011) — 893 citations
- The PREP pipeline: standardized preprocessing for large-scale EEG analysis (2015) — 1,228 citations
- Real-time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG (2015) — 731 citations
- BCILAB: a platform for brain–computer interface development (2013) — 384 citations
- Real-Time Modeling and 3D Visualization of Source Dynamics and Connectivity Using Wearable EEG (2013) — 383 citations
- EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing (2011) — 655 citations