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ORCIDM. Emin Tagluk
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2020 – today
- 2022
[j14]Ibrahim Isik
, Mehmet Emin Tagluk:
Analysis of the electronic integrate and fire neuron model. Neurocomputing 488: 261-270 (2022)
2010 – 2019
- 2019
- [j13]M. Emin Tagluk, Ibrahim Isik:
Communication in nano devices: Electronic based biophysical model of a neuron. Nano Commun. Networks 19: 134-147 (2019) - 2018
- [j12]Ömer Faruk Ertugrul, Mehmet Emin Tagluk:
Forecasting financial indicators by generalized behavioral learning method. Soft Comput. 22(24): 8259-8272 (2018) - 2017
- [j11]Ömer Faruk Ertugrul, Mehmet Emin Tagluk:
A novel version of k nearest neighbor: Dependent nearest neighbor. Appl. Soft Comput. 55: 480-490 (2017) - [j10]Ömer Faruk Ertugrul, Mehmet Emin Tagluk:
A fast feature selection approach based on extreme learning machine and coefficient of variation. Turkish J. Electr. Eng. Comput. Sci. 25: 3409-3420 (2017) - [j9]Düzgün Akmaz, Mehmet Salih Mamis, Müslüm Arkan, Mehmet Emin Tagluk:
Fault location determination for transmission lines with different series-compensation levels using transient frequencies. Turkish J. Electr. Eng. Comput. Sci. 25: 3764-3775 (2017) - [j8]Ömer Faruk Ertugrul, Mehmet Emin Tagluk:
A novel machine learning method based on generalized behavioral learning theory. Neural Comput. Appl. 28(12): 3921-3939 (2017) - [j7]Ramazan Tekin, Mehmet Emin Tagluk:
Effects of Small-World Rewiring Probability and Noisy Synaptic Conductivity on Slow Waves: Cortical Network. Neural Comput. 29(3): 679-715 (2017) - 2016
- [c12]Ramazan Tekin, M. Emin Tagluk:
Influence of rewiring on spike activity and phase coherence in a Small-World cortical network. SIU 2016: 569-572 - 2015
- [j6]Mehmet Emin Tagluk, Ömer Faruk Ertugrul:
A joint generalized exemplar method for classification of massive datasets. Appl. Soft Comput. 36: 487-498 (2015) - [c11]Düzgün Akmaz, Mehmet Salih Mamis, Müslüm Arkan, M. Emin Tagluk:
Fault location on series compensated power transmission lines using transient spectrum. SIU 2015: 951-954 - [c10]M. Emin Tagluk, Mehmet Salih Mamis, Müslüm Arkan, Ömer Faruk Ertugrul:
Detecting fault type and fault location in power transmission lines by extreme learning machines. SIU 2015: 1090-1093 - 2014
- [c9]Ömer Faruk Ertugrul, Mehmet Emin Tagluk:
Learning with classical conditioning. SIU 2014: 927-930 - 2013
- [c8]Ömer Faruk Ertugrul, M. Emin Tagluk, Yilmaz Kaya:
Fault detection at power transmission lines by extreme learning machine. SIU 2013: 1-4 - [c7]Ömer Faruk Ertugrul, M. Emin Tagluk, Yilmaz Kaya, Ramazan Tekin:
EMG signal classification by extreme learning machine. SIU 2013: 1-4 - [c6]Necmettin Sezgin, M. Emin Tagluk, Ömer Faruk Ertugrul, Yilmaz Kaya:
Bispectral analysis of epileptic EEG signals. SIU 2013: 1-4 - [c5]Ramazan Tekin, M. Emin Tagluk, Ömer Faruk Ertugrul, Necmettin Sezgin:
Complexity and irregularity analysis of the output data of a cortical network. SIU 2013: 1-4 - 2012
- [c4]Ömer Faruk Ertugrul, M. Emin Tagluk, Yilmaz Kaya:
Fault analysis of power transmission line by Wigner Ville distribution, gray-level co-occurrence matrix and pattern recognation. SIU 2012: 1-4 - [c3]Yilmaz Kaya, M. Emin Tagluk, Necmettin Sezgin:
Diagnostic estimation of OSAS using binary mixture logistic regression. SIU 2012: 1-4 - [c2]Necmettin Sezgin, M. Emin Tagluk, Ramazan Tekin:
Separation of EEG signals by using Independent Component Analysis. SIU 2012: 1-4 - [c1]Ramazan Tekin, M. Emin Tagluk, Ömer Faruk Ertugrul:
Effect of external stimulus and ionic concentrations on Hodgkin-Huxley neural model. SIU 2012: 1-4 - 2011
- [j5]M. Emin Tagluk, Necmettin Sezgin:
A new approach for estimation of obstructive sleep apnea syndrome. Expert Syst. Appl. 38(5): 5346-5351 (2011) - 2010
- [j4]M. Emin Tagluk, Mehmet Akin, Necmettin Sezgin:
Classification of sleep apnea by using wavelet transform and artificial neural networks. Expert Syst. Appl. 37(2): 1600-1607 (2010) - [j3]M. Emin Tagluk, Necmettin Sezgin, Mehmet Akin:
Estimation of Sleep Stages by an Artificial Neural Network Employing EEG, EMG and EOG. J. Medical Syst. 34(4): 717-725 (2010) - [j2]M. Emin Tagluk, Necmettin Sezgin:
Classification of Sleep Apnea through Sub-band Energy of Abdominal Effort Signal Using Wavelets + Neural Networks. J. Medical Syst. 34(6): 1111-1119 (2010)
2000 – 2009
- 2009
- [j1]Necmettin Sezgin, M. Emin Tagluk:
Energy based feature extraction for classification of sleep apnea syndrome. Comput. Biol. Medicine 39(11): 1043-1050 (2009)
Coauthor Index
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