Kavitha P. Thomas

Cognitive Neuroscience · 2009

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kavitha P. Thomas trusts overall

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

  1. Herbert Ramoser
  2. Benjamin Blankertz
  3. Guido Dornhege
  4. Christoph Guger
  5. Gert Pfurtscheller
  6. Kai Keng Ang
  7. Robert Leeb
  8. K. Müller
  9. J. Müller-Gerking
  10. Z. Y. Chin

Who trusts Kavitha P. Thomas overall

  1. Natasha M. J. Padfield

Papers from Kavitha P. Thomas's perspective

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

  1. Optimal spatial filtering of single trial EEG during imagined hand movement. (IEEE transactions on rehabilitation engineering)
  2. Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms (IEEE Transactions on Biomedical Engineering)
  3. Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI). (IEEE transactions on rehabilitation engineering)
  4. Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface (IEEE World Congress on Computational Intelligence)
  5. Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing (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. The BCI competition III: validating alternative approaches to actual BCI problems (IEEE transactions on neural systems and rehabilitation engineering)
  8. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
  9. Sub-band Common Spatial Pattern (SBCSP) for Brain-Computer Interface (International IEEE/EMBS Conference on Neural Engineering)
  10. Spatio-spectral filters for improving the classification of single trial EEG (IEEE Transactions on Biomedical Engineering)

Their papers