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Seral ÖZŞEN
Seral ÖZŞEN
Konya Teknik Üniversitesi
Verified email at ktun.edu.tr
Title
Cited by
Cited by
Year
A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis
S Şahan, K Polat, H Kodaz, S Güneş
Computers in Biology and Medicine 37 (3), 415-423, 2007
2562007
Automatic detection of heart disease using an artificial immune recognition system (AIRS) with fuzzy resource allocation mechanism and k-nn (nearest neighbour) based weighting …
K Polat, S Şahan, S Güneş
Expert Systems with Applications 32 (2), 625-631, 2007
1702007
A new method to medical diagnosis: Artificial immune recognition system (AIRS) with fuzzy weighted pre-processing and application to ECG arrhythmia
K Polat, S Şahan, S Güneş
Expert systems with applications 31 (2), 264-269, 2006
1522006
A novel hybrid method based on artificial immune recognition system (AIRS) with fuzzy weighted pre-processing for thyroid disease diagnosis
K Polat, S Şahan, S Güneş
Expert Systems with Applications 32 (4), 1141-1147, 2007
1272007
Breast cancer and liver disorders classification using artificial immune recognition system (AIRS) with performance evaluation by fuzzy resource allocation mechanism
K Polat, S Şahan, H Kodaz, S Güneş
Expert Systems with Applications 32 (1), 172-183, 2007
1232007
The medical applications of attribute weighted artificial immune system (AWAIS): diagnosis of heart and diabetes diseases
S Şahan, K Polat, H Kodaz, S Güneş
Artificial Immune Systems: 4th International Conference, ICARIS 2005, Banff …, 2005
1152005
Medical application of information gain based artificial immune recognition system (AIRS): Diagnosis of thyroid disease
H Kodaz, S Özşen, A Arslan, S Güneş
Expert Systems with Applications 36 (2), 3086-3092, 2009
1022009
Automatic sleep staging based on SVD, VMD, HHT and morphological features of single-lead ECG signal
Ş Yücelbaş, C Yücelbaş, G Tezel, S Özşen, Ş Yosunkaya
Expert Systems with Applications 102, 193-206, 2018
1002018
Attribute weighting via genetic algorithms for attribute weighted artificial immune system (AWAIS) and its application to heart disease and liver disorders problems
S Özşen, S Güneş
Expert systems with applications 36 (1), 386-392, 2009
842009
Classification of sleep stages using class-dependent sequential feature selection and artificial neural network
S Özşen
Neural Computing and Applications 23, 1239-1250, 2013
752013
Use of kernel functions in artificial immune systems for the nonlinear classification problems
S Ozsen, S Gunes, S Kara, F Latifoglu
IEEE Transactions on Information Technology in Biomedicine 13 (4), 621-628, 2009
392009
Automatic detection of sleep spindles with the use of STFT, EMD and DWT methods
C Yücelbaş, Ş Yücelbaş, S Özşen, G Tezel, S Küççüktürk, Ş Yosunkaya
Neural Computing and Applications 29, 17-33, 2018
382018
A new classifier based on attribute weighted artificial immune system (AWAIS)
S Sahan, H Kodaz, S Günes, K Polat
Lecture notes in computer science, 11-20, 2004
342004
Pre-determination of OSA degree using morphological features of the ECG signal
Ş Yücelbaş, C Yücelbaş, G Tezel, S Özşen, S Küççüktürk, Ş Yosunkaya
Expert Systems with Applications 81, 79-87, 2017
332017
A novel system for automatic detection of K-complexes in sleep EEG
C Yücelbaş, Ş Yücelbaş, S Özşen, G Tezel, S Küççüktürk, Ş Yosunkaya
Neural Computing and Applications 29, 137-157, 2018
292018
Diagnosis of atherosclerosis from carotid artery Doppler signals as a real-world medical application of artificial immune systems
F Latifoglu, S Şahan, S Kara, S Güneş
Expert Systems with Applications 33 (3), 786-793, 2007
292007
A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification
M Dursun, S Özşen, C Yücelbaş, Ş Yücelbaş, G Tezel, S Küççüktürk, ...
Neural Computing and Applications 28, 3095-3112, 2017
262017
Effect of feature-type in selecting distance measure for an artificial immune system as a pattern recognizer
S Özşen, S Güneş
Digital Signal Processing 18 (4), 635-645, 2008
242008
A new denoising method for fMRI based on weighted three-dimensional wavelet transform
G Özmen, S Özşen
Neural Computing and Applications 29, 263-276, 2018
222018
CoSleepNet: Automated sleep staging using a hybrid CNN-LSTM network on imbalanced EEG-EOG datasets
E Efe, S Ozsen
Biomedical Signal Processing and Control 80, 104299, 2023
172023
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