William B. Claster

Mathematics and Programming for Machine Learning with R · 2020

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Who trusts William B. Claster overall

1. Yonghao Song
2. Vernon J. Lawhern
3. Qingqing Zheng
4. Amelia J. Solon
5. Demetres Kostas
6. Bingchuan Liu
7. Chaopeng Shen
8. Nicholas R. Waytowich
9. Xiaorong Gao

Papers from William B. Claster's perspective

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

1. Deep Learning
2. Why Does Unsupervised Pre-training Help Deep Learning?
3. ImageNet classification with deep convolutional neural networks
4. EMG and EOG artifacts in brain computer interface systems: A survey. (Clinical Neurophysiology)
5. BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm (IEEE Transactions on Biomedical Engineering)
6. Brain–Computer Communication: Motivation, Aim, and Impact of Exploring a Virtual Apartment (IEEE transactions on neural systems and rehabilitation engineering)
7. Prediction of arm movement trajectories from ECoG-recordings in humans.
8. BCI2000: a general-purpose brain-computer interface (BCI) system (IEEE Transactions on Biomedical Engineering)
9. Optimizing Spatial filters for Robust EEG Single-Trial Analysis
10. Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface (IEEE World Congress on Computational Intelligence)

Their papers

• Deep Learning with Convolutional Neural Networks (2020) — 301 citations