M. Ismail Gursoy
Artificial Intelligence · 2010
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it; #12,341 of 35,345 by trust here, #21,878 by citations
- Signal Processing — 8 citations into it; #2,314 of 7,572 by trust here, #4,051 by citations
Whom M. Ismail Gursoy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Abdulhamit Subasi
- Corinna Cortes
- Achmad Widodo
- Hojjat Adeli
- A. Kandaswamy
- Ralph G. Andrzejak
- Vladimir Naumovich Vapnik
- Bo-Suk Yang
Who trusts M. Ismail Gursoy overall
- Jessica Clark
- Ben D. Fulcher
- Alexander Craik
- Oliver Faust
- Dalin Zhang
- Concetto Spampinato
- Hafeez Ullah Amin
- Foster J. Provost
Papers from M. Ismail Gursoy's perspective
Ordered by how strongly the researchers M. Ismail Gursoy trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Support-Vector Networks
- Analysis of EEG records in an epileptic patient using wavelet transform. (Journal of Neuroscience Methods)
- Pattern Classification
- A neural-network-based detection of epilepsy (Neurological Research)
- Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors (Expert systems with applications)
- EEG signal classification using wavelet feature extraction and a mixture of expert model (Expert systems with applications)
- Neural classification of lung sounds using wavelet coefficients (Comput. Biol. Medicine)
- A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine (Neurocomputing)
- 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)
Their papers
- EEG signal classification using PCA, ICA, LDA and support vector machines (2010) — 1,193 citations