Elif Derya Übeyli

Artificial Intelligence · 2005–2009

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #6,184 of 35,345 by trust here, #12,974 by citations
• Cognitive Neuroscience — 9 citations into it; #972 of 10,852 by trust here, #3,321 by citations
• Model Architectures — 5 citations into it
• Signal Processing — 5 citations into it; #1,216 of 7,572 by trust here, #2,343 by citations

Whom Elif Derya Übeyli trusts overall

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

1. Ralph G. Andrzejak
2. Vladimir Naumovich Vapni
3. Donald F. Specht
4. Ingrid Daubechies
5. Roberto Battiti
6. Fernando J. Pineda
7. Hojjat Adeli
8. Corinna Cortes
9. Klaus Lehnertz
10. David Hilton Wolpert

Who trusts Elif Derya Übeyli overall

1. Umut Orhan
2. Alexandros T. Tzallas
3. Shivarudhrappa Raghu
4. Ling Guo
5. Mahmut Hekim
6. Markos G. Tsipouras
7. Natarajan Sriraam
8. Mahmut Ozer
9. Samarjit Kar
10. Yaguo Lei

Papers from Elif Derya Übeyli's perspective

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

1. The Nature of Statistical Learning Theory
2. Neural Networks: A Comprehensive Foundation
3. Support-Vector Networks
4. First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method
5. Probabilistic neural networks
6. Analysis of EEG records in an epileptic patient using wavelet transform. (Journal of Neuroscience Methods)
7. Finding Structure in Time
8. Generalization of back-propagation to recurrent neural networks.
9. A neural-network-based detection of epilepsy (Neurological Research)
10. Comparison of linear, nonlinear, and feature selection methods for EEG signal classification (IEEE transactions on neural systems and rehabilitation engineering)

Their papers

• Combined neural network model employing wavelet coefficients for EEG signals classification (2009) — 307 citations
• Multiclass Support Vector Machines for EEG-Signals Classification (2007) — 429 citations
• ECG beat classifier designed by combined neural network model (2005) — 381 citations
• Recurrent neural networks employing Lyapunov exponents for EEG signals classification (2005) — 535 citations
• Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients. (2005) — 587 citations