Guibin Bian
Cognitive Neuroscience · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 20 citations into it
- Signal Processing — 10 citations into it
Whom Guibin Bian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhaohua Wu
- M. Davies
- Jose Antonio Urigüen
- Kevin T. Sweeney
- Carrie A. Joyce
- Ping He
- Wim De Clercq
- Irene Winkler
Who trusts Guibin Bian overall
Papers from Guibin Bian's perspective
Ordered by how strongly the researchers Guibin Bian trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- EMG contamination of EEG: spectral and topographical characteristics. (Clinical Neurophysiology)
- Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects. (Clinical Neurophysiology)
- Matching pursuits with time-frequency dictionaries
- EMG and EOG artifacts in brain computer interface systems: A survey. (Clinical Neurophysiology)
- Canonical Correlation Analysis Applied to Remove Muscle Artifacts From the Electroencephalogram (IEEE Transactions on Biomedical Engineering)
- A fully automated correction method of EOG artifacts in EEG recordings. (Clinical Neurophysiology)
- Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method (Advances in Data Science and Adaptive Analysis)
- Independent component approach to the analysis of EEG and MEG recordings (IEEE Transactions on Biomedical Engineering)
- Deep Learning
Their papers
- Removal of Artifacts from EEG Signals: A Review (2019) — 753 citations
- Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications (2018) — 490 citations