EEG signal classification using wavelet feature extraction and a mixture of expert model A Subasi Expert Systems with Applications 32 (4), 1084-1093, 2007 | 1426 | 2007 |
EEG signal classification using PCA, ICA, LDA and support vector machines A Subasi, MI Gursoy Expert systems with applications 37 (12), 8659-8666, 2010 | 1399 | 2010 |
Classification of EEG signals using neural network and logistic regression A Subasi, E Ercelebi Computer methods and programs in biomedicine 78 (2), 87-99, 2005 | 751 | 2005 |
Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders A Subasi Computers in biology and medicine 43 (5), 576-586, 2013 | 563 | 2013 |
Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system J Kevric, A Subasi Biomedical Signal Processing and Control 31, 398-406, 2017 | 468 | 2017 |
Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction E Alickovic, J Kevric, A Subasi Biomedical signal processing and control 39, 94-102, 2018 | 413 | 2018 |
Congestive heart failure detection using random forest classifier Z Masetic, A Subasi Computer methods and programs in biomedicine 130, 54-64, 2016 | 373 | 2016 |
Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients A Subasi Expert systems with applications 28 (4), 701-711, 2005 | 363 | 2005 |
Breast cancer diagnosis using GA feature selection and Rotation Forest E Aličković, A Subasi Neural Computing and applications 28, 753-763, 2017 | 353 | 2017 |
Comparison of decision tree algorithms for EMG signal classification using DWT E Gokgoz, A Subasi Biomedical signal processing and control 18, 138-144, 2015 | 343 | 2015 |
Traffic accident detection using random forest classifier N Dogru, A Subasi 2018 15th learning and technology conference (L&T), 40-45, 2018 | 306 | 2018 |
Classification of EMG signals using wavelet neural network A Subasi, M Yilmaz, HR Ozcalik Journal of neuroscience methods 156 (1-2), 360-367, 2006 | 285 | 2006 |
Ensemble SVM Method for Automatic Sleep Stage Classification E Alickovic, A Subasi IEEE Transactions on Instrumentation and Measurement 67 (6), 1258 - 1265, 2018 | 283 | 2018 |
Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction A Subasi Computers in biology and medicine 37 (2), 227-244, 2007 | 269 | 2007 |
Epileptic seizure detection using hybrid machine learning methods A Subasi, J Kevric, M Abdullah Canbaz Neural Computing and Applications 31, 317-325, 2019 | 256 | 2019 |
A decision support system for automated identification of sleep stages from single-channel EEG signals AR Hassan, A Subasi Knowledge-Based Systems 128, 115-124, 2017 | 249 | 2017 |
Epileptic seizure detection using dynamic wavelet network A Subasi Expert Systems with Applications 29 (2), 343-355, 2005 | 235 | 2005 |
An effective combining classifier approach using tree algorithms for network intrusion detection J Kevric, S Jukic, A Subasi Neural Computing and Applications 28 (Suppl 1), 1051-1058, 2017 | 230 | 2017 |
Classification of EMG signals using combined features and soft computing techniques A Subasi Applied soft computing 12 (8), 2188-2198, 2012 | 229 | 2012 |
Automatic seizure detection in EEG using logistic regression and artificial neural network A Alkan, E Koklukaya, A Subasi Journal of neuroscience methods 148 (2), 167-176, 2005 | 215 | 2005 |