Publications
Aspire to Achieve

    • https://www.effatuniversity.edu.sa/English/Research/Pages/default.aspx, A researcherhttps://www.effatuniversity.edu.sa/Arabic/Research/pages/default.aspx, باحث
      A researcher
    • https://www.effatuniversity.edu.sa/English/Academics/Undergraduate/, An undergraduatehttps://www.effatuniversity.edu.sa/Arabic/Academics/Undergraduate/, البكالوريوس
      An undergraduate
    • https://www.effatuniversity.edu.sa/English/Academics/Graduate/, A graduatehttps://www.effatuniversity.edu.sa/Arabic/Academics/Graduate/, الدراسات العليا
      A graduate
 

Publications

  • Research Interests:


  • D. Keco, A. Subasi, J. Kevric, Cloud Computing-Based parallel genetic algorithm method for gene selection in cancer classification, (Accepted Neural Computing Applications),  (ISI Impact Factor: 1.569) 
  • V. Ulke, A. Sahin, A. Subasi, A Comparison of Time Series and Machine Learning Models for Inflation Forecasting: Empirical Evidence from the USA (Accepted Neural Computing Applications) DOI: 10.1007/s00521-015-2103-9,  (ISI Impact Factor: 1.569) 
  • J. Kevric, S. Jukic, A. Subasi, “An Effective Combining Classifier Approach Using Tree Algorithms for Network Intrusion Detection” (Accepted Neural Computing Applications) DOI: 10.1007/s00521-016-2418-1 (ISI Impact Factor: 1.569) 
  • A. Subasi, J. Kevric, A. Canbaz, Epileptic seizure detection using hybrid machine learning methods (Accepted Neural Computing Applications),  (ISI Impact Factor: 1.569)
  •  H. Šiljak, A. Subasi, Berthil Cepstrum: a Novel Vibration Analysis Method based on Marginal Hilbert Spectrum Applied to Artificial Motor Aging, (Accepted Journal of Electrical Enginnering) (ISI Impact Factor: 0.662)
  •  E. Alickovic, J. Kevric, A. Subasi, “Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction, Biomedical Signal Processing and Control,  Volume 39, January 2018, Pages 94-102 (ISI Impact Factor: 1.521)
  • A. R. Hassan, A. Subasi, A decision support system for automated identification of sleep stages from single-channel EEG signals, Knowledge Based Systems, Vol. 128, 15 July 2017, pp. 115-124 (ISI Impact Factor: 3.325)
  • E. Alickovic, A. Subasi, Breast cancer diagnosis using GA feature selection and Rotation Forest, Neural Computing and Applications, April 2017, 28(4), 753-763,  (ISI Impact Factor: 1.569) 
  • J. Kevric, A. Subasi, Comparison of Signal Decomposition Methods in Classification of EEG Signals for Motor-imagery BCI System, Biomedical Signal Processing and Control 31 (2017) 398–406  (ISI Impact Factor: 1.521) (Times Cited in Web of Science: 5).
  • A. R. Hassan, A. Subasi, Automatic identification of epileptic seizures from EEG signals using linear programming boosting, Computer Methods and Programs in Biomedicine 136, November 2016, 65–77 (ISI Impact Factor: 1.897) (Times Cited in Web of Science: 6).
  • S. Cankurt, A. Subasi, “Tourism demand modelling and forecasting using data mining techniques in multivariate time series: A case study in Turkey”, Turkish Journal of Electrical Engineering & Computer Sciences, 24(5): 3388 – 3404, Sept. 2016  (ISI Impact Factor: 0.407).
  • Z. Masetic, A. Subasi, Congestive Heart Failure Detection using Machine Learning Methods, Computer Methods and Programs in Biomedicine, July 2016, Volume 130, Pages 54–64, (ISI Impact Factor: 1.897) (Times Cited in Web of Science: 6).
  • E. Alickovic, A. Subasi, Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier, Journal of Medical Systems, April 2016, vol. 40, pp. 108, (ISI Impact Factor:  2.213) (Times Cited in Web of Science: 8).
  • M. R. Bozkurt, A. Subasi, E. Koklukaya, M. Yilmaz, “Comparison of AR parametric methods with subspace-based methods for EMG signal classification using stand-alone and merged neural network models”, Turkish Journal of Electrical Engineering & Computer Sciences, 24: 1547 – 1559, April 2016. (ISI Impact Factor: 0.407).
  • E. Kremic, A. Subasi, “Performance of Random Forest and SVM in Face Recognition”, International Arab Journal of Information Technology, Vol 13, No 2, March 2016. (ISI Impact Factor: 0.582) (Times Cited in Web of Science: 3).
  • H. Sahin, A. Subasi, Classification of the Cardiotocogram Data for Anticipation of Fetal Risks Using Machine Learning Techniques, Applied Soft Computing, Volume 33, August 2015, Pages 231–238 (ISI Impact Factor: 2.857) (Times Cited in Web of Science: 9).
  • E. Gokgoz, A. Subasi, “Comparison of decision tree algorithms for EMG signal classification using DWT”, Biomedical  Signal  Processing  and  Control, 18, April  2015, 138–144 (ISI Impact Factor: 1.521) (Times Cited in Web of Science: 18).
  • E. Alickovic, A. Subasi, “Effect of Multiscale PCA de-noising in ECG beat classification for diagnosis of cardiovascular diseases”, Circuits Systems and Signal Processing, Feb. 2015, Vol. 34, Issue 2, 513-533 (ISI Impact Factor: 1.118) (Times Cited in Web of Science: 12).
  • A. Subasi, A decision support system for Diagnosis of Neuromuscular Disorders using DWT and Evolutionary Support Vector Machines, Signal, Image and Video Processing, Vol. 9, Issue 2, Feb. 2015, Page 399-408 (ISI Impact Factor: 1.43) (Times Cited in Web of Science: 6).
  • N. Dogru, A. Subasi, “Comparison of clustering techniques for traffic accident detection”, Turkish Journal of Electrical Engineering & Computer Sciences, 23: 2124 – 2137, Dec. 2015. (ISI Impact Factor: 0.407) (Times Cited in Web of Science: 2).
  • J. Kevric, A. Subasi, “The Effect of Multiscale PCA De-noising in Epileptic Seizure Detection”, Journal of Medical Systems, 38(10):131, 1-13, 2014 (ISI Impact Factor:  2.213) (Times Cited in Web of Science: 6).
  • H. Šiljak, A. Subasi “A novel approach to Hurst analysis of motor vibration data in aging processes”, Journal of Vibroengineering, Vol. 16, Issue 5, 2014, p. 2250 2255 (ISI Impact Factor:  0.617).
  • E. Gokgoz, A. Subasi, “Effect of Multiscale PCA de-noising on EMG signal classification for Diagnosis of Neuromuscular Disorders ”, Journal of Medical Systems,  38(4):31,1-10, April 2014 (ISI Impact Factor:  2.213) (Times Cited in Web of Science: 12).
  •  H. Siljak, A. Subasi, “Fourier spectrum related properties of vibration signals in accelerated motor aging applicable for age determination”, Maintenance and Reliability 2014; 16 (4): 616–621 (ISI Impact Factor: 0.983) (Times Cited in Web of Science: 3).
  • A. Subasi, “Classification of EMG Signals Using PSO optimized SVM for Diagnosis of Neuromuscular Disorders”, Computers in Biology and Medicine 43 (2013) 576–586 (ISI Impact Factor: 1.521) (Times Cited in Web of Science: 97).
  • A. Subasi, “Medical decision support system for diagnosis of neuromuscular disorders using DWT and fuzzy support vector machines”, Computers in Biology and Medicine 42,  806–815, 2012 (ISI Impact Factor: 1.521) (Times Cited in Web of Science: 25)
  • ​A. Subasi, “Classification of EMG Signals Using Combined Features and Soft Computing Techniques”, Applied Soft Computing, 12, 2188–2198, 2012 (ISI Impact Factor: 2.857) (Times Cited in Web of Science: 51)
  • S. B. Akben, A. Subasi, D. Tuncel, “Analysis of repetitive flash stimulation frequencies and record periods to detect migraine using artificial neural network”, Journal of Medical Systems, 36(2), 925-931, 2012  (ISI Impact Factor:  2.213) (Times Cited in Web of Science: 2)
  • S. B. Akben, A. Subasi, D. Tuncel, “Analysis of EEG Signals under Flash Stimulation for Migraine and Epileptic Patients”, Journal of Medical Systems, 35(3), 437-443, 2011 (ISI Impact Factor:  2.213) (Times Cited in Web of Science: 11)
  • A. Subasi, A. S. Yilmaz, K. Tufan, “Detection of Generated and Measured Transient Power Quality Events Using Teager Energy Operator”, Energy Conversion and Management, 52, 1959–1967, 2011  (ISI Impact Factor: 4.38) (Times Cited in Web of Science: 15)
  • A. Subasi, M. I. Gürsoy, “Comparison of PCA, ICA and LDA in EEG signal classification using DWT and SVM”, Expert Systems with Applications, 37, 8659–8666, 2010  (ISI Impact Factor: 2.981) (Times Cited in Web of Science: 198)
  • A. Subasi, M. K. Kiymik, “Muscle Fatigue Detection in EMG Using Time–Frequency Methods, ICA and Neural Networks”, Journal of Medical Systems, Volume 34, Number 4, 777-785, 2010  (ISI Impact Factor: 1.419) (Times Cited in Web of Science: 24)
  • A. Subasi, A. S. Yilmaz and H. Binici, “Prediction of early heat of hydration of plain and blended cements using neuro-fuzzy modelling techniques”, Expert Systems with Applications 36, 4940–4950, 2009 (ISI Impact Factor: 2.981) (Times Cited in Web of Science: 10)
  • A. Eren, A. Subasi, O. Coskun, “A decision support system for telemedicine through the mobile telecommunications platform”, Journal of Medical Systems, 32, 31–35, 2008 (ISI Impact Factor:  2.213) (Times Cited in Web of Science: 18)
  • A. Subasi, “EEG signal classification using wavelet feature extraction and a mixture of expert model”, Expert Systems with Applications, 32, 1084–1093, 2007 (ISI Impact Factor: 2.981) (Times Cited in Web of Science: 345)
  • A. Subasi, “Selection of Optimal AR Spectral Estimation Method for EEG Signals Using Cramer-Rao Bound”, Computers in Biology and Medicine, 37, 183 – 194, 2007 (ISI Impact Factor: 1.521) (Times Cited in Web of Science: 12)
  • A. Subasi, “Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using feature extraction”, Computers in Biology and Medicine, 37, 227–244, 2007 (ISI Impact Factor: 1.521) (Times Cited in Web of Science: 90)
  • A. S. Yilmaz, A. Subasi, M. Bayrak, V. M. Karsli, E. Ercelebi, “Application of lifting based wavelet transforms to characterize power quality events”, Energy Conversion and Management, 48, 112–123, 2007 (ISI Impact Factor: 4.38) (Times Cited in Web of Science: 18)
  • A. Subasi, M. Yilmaz and H. R. Ozcalik, “Classification of EMG signals using wavelet neural network”, Journal of Neuroscience Methods, 156, 360–367, 2006 (ISI Impact Factor: 2.025) (Times Cited in Web of Science: 66)
  • A. Subasi, “Automatic detection of epileptic seizure using dynamic fuzzy neural networks”, Expert Systems with Applications, 31, 320–328, 2006 (ISI Impact Factor: 2.981) (Times Cited in Web of Science: 75)
  • A. Subasi, E. Erçelebi, A. Alkan, E. Koklukaya, “Comparison of subspace-based methods with AR parametric methods in epileptic seizure detection”, Computers in Biology and Medicine, 36, 195–208, 2006 (ISI Impact Factor: 1.521) (Times Cited in Web of Science: 29)
  • E. Erçelebi, A. Subasi, “Robust multi bit and high quality audio watermarking using pseudo-random sequences”, Computers and Electrical Engineering, 31, 525–536, 2005 (ISI Impact Factor: 0.817) (Times Cited in Web of Science: 1)
  • A. Alkan, E. Koklukaya, A. Subasi, “Automatic Seizure Detection in EEG Using Logistic Regression and Artificial Neural Network”, Journal of Neuroscience Methods, 148, 167–176, 2005 (ISI Impact Factor: 2.025) (Times Cited in Web of Science: 55)
  • A. Subasi, A. Alkan, E. Koklukaya, M. K. Kiymik, “Wavelet Neural Network Classification of EEG Signals by using AR model with MLE Preprocessing”, Neural Networks, 18/7, 985-997, 2005 (ISI Impact Factor: 2.708) (Times Cited in Web of Science: 62)
  • A. Subasi, “Epileptic Seizure Detection Using Dynamic Wavelet Network”, Expert Systems with Applications, 29, 343-355, 2005 (ISI Impact Factor: 2.981) (Times Cited in Web of Science: 76)
  • A. Subasi, E. Erçelebi, “Classification of EEG Signals Using Neural Network and Logistic Regression”, Computer Methods and Programs in Biomedicine, 78(2),  87-99 2005 (ISI Impact Factor: 1.897) (Times Cited in Web of Science: 144)
  • A. Subasi, “Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients”, Expert Systems with Applications, 28, 701–711, 2005 (ISI Impact Factor: 2.981) (Times Cited in Web of Science: 114)
  • A. Subasi, M.K. Kiymik, M. Akin, O. Erogul, “Automatic recognition of vigilance state by using wavelet-based artificial neural network”, Neural Computing Applications, 14(1), 45-55, 2005 (ISI Impact Factor: 1.569)  (Times Cited in Web of Science: 71)
  • A. Subasi, E. Koklukaya, “Performance Improvement of Dynamic Buffered ATM Switch”, Computers and Electrical Engineering, 31, 152-165, 2005 (ISI Impact Factor: 0.817).
  • ​​​M.K. Kiymik., M. Akin., A. Subasi, “Automatic recognition of alertness level by using wavelet transform and artificial neural network “ Journal of Neuroscience Methods,   139,  231-240, 2004 (ISI Impact Factor: 2.025) (Times Cited in Web of Science: 15)

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