Angelika Peer

Cognitive Neuroscience · 2014

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Angelika Peer trusts overall

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

  1. Chris H. Q. Ding
  2. Margaret M. Bradley
  3. Mu Li
  4. Robert Horlings
  5. Hanchuan Peng
  6. Dan Nie
  7. Bao-Liang Lu

Who trusts Angelika Peer overall

  1. Wei-Long Zheng
  2. Wei Tao

Papers from Angelika Peer's perspective

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

  1. Minimum redundancy feature selection from microarray gene expression data (Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003)
  2. Frontal brain electrical activity (EEG) distinguishes valence and intensity of musical emotions
  3. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
  4. Measuring emotion: the Self-Assessment Manikin and the Semantic Differential.
  5. Emotion classification based on gamma-band EEG (Annual International Conference of the IEEE Engineering in Medicine and Biology Society)
  6. EEG-Based Emotion Recognition in Music Listening (IEEE Transactions on Biomedical Engineering)
  7. A review of feature selection techniques in bioinformatics
  8. Classification of human emotion from EEG using discrete wavelet transform
  9. A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis (IEEE/ACM Transactions on Computational Biology & Bioinformatics)
  10. EEG-based emotion recognition during watching movies (International IEEE/EMBS Conference on Neural Engineering)

Their papers