Ling Guo
Cognitive Neuroscience · with Pazos · 2010
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 23 citations into it; #3,334 of 10,852 by trust here, #6,180 by citations
- Signal Processing — 14 citations into it; #2,785 of 7,572 by trust here, #3,673 by citations
- Artificial Intelligence — 13 citations into it
Whom Ling Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Abdulhamit Subasi
- Stéphane Mallat
- Kemal Polat
- David John Cameron MacKay
- Inan Güler
- Ralph G. Andrzejak
- V. Srinivasan
- Nihal Fatma Güler
- Elif Derya Übeyli
- N. Kannathal
Who trusts Ling Guo overall
- Usha R. Acharya
- Poomipat Boonyakitanont
- Varun Bajaj
- Oliver Faust
- Ram Bilas Pachori
- Apiwat Lek-uthai
- Subbhuraam Vinitha Sree
- Krisnachai Chomtho
- G. Swapna
- Rajeev Sharma
Papers from Ling Guo's perspective
Ordered by how strongly the researchers Ling Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Analysis of EEG records in an epileptic patient using wavelet transform. (Journal of Neuroscience Methods)
- A neural-network-based detection of epilepsy (Neurological Research)
- Artificial Neural Network Based Epileptic Detection Using Time-Domain and Frequency-Domain Features (Journal of medical systems)
- Classifying Single Trial EEG: Towards Brain Computer Interfacing (Neural Information Processing Systems)
- A Practical Bayesian Framework for Backpropagation Networks
- Artificial neural networks: fundamentals, computing, design, and application.
- The Nature of Statistical Learning Theory
- Recurrent neural networks employing Lyapunov exponents for EEG signals classification (Expert systems with applications)
- Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform (Applied Mathematics and Computation)