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Abdulhamit Subasi

Abdulhamit Subasi

D-Index & Metrics

Computer Science

D-Index
63
Citations
16453
World Ranking
2752
National Ranking
13

Overview

Abdulhamit Subasi is affiliated with Effat University in Saudi Arabia and has contributed extensively to research in the intersections of computer science, medicine, and neuroscience. Their published work spans a variety of topics, notably including EEG and brain-computer interfaces, artificial intelligence applications in cancer detection, brain tumor detection and classification, ECG monitoring and analysis, blind source separation techniques, COVID-19 diagnosis using AI, and radiomics and machine learning in medical imaging.

The scientist's main fields of study are:

  • Computer Science
  • Medicine
  • Neuroscience

Subfields of study include:

  • Artificial Intelligence
  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Signal Processing
  • Computer Vision and Pattern Recognition

Their research has been disseminated primarily through several publication venues known for technical and biomedical focus:

  • Biomedical Signal Processing and Control
  • Procedia Computer Science
  • Journal of Ambient Intelligence and Humanized Computing
  • arXiv (Cornell University)
  • IEEE Transactions on Instrumentation and Measurement

Recent papers authored or coauthored by Abdulhamit Subasi include:

  • "A Multitier Deep Learning Model for Arrhythmia Detection," 2020, IEEE Transactions on Instrumentation and Measurement
  • "Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition," 2020, Biomedical Signal Processing and Control
  • "EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier," 2021, Biomedical Signal Processing and Control
  • "Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies," 2021, Biomedical Signal Processing and Control
  • "A new fractal pattern feature generation function based emotion recognition method using EEG," 2021, Chaos Solitons & Fractals

Frequent coauthors in their publications include:

  • Saeed Mian Qaisar
  • Şengül Doğan
  • Türker Tuncer
  • Öznur Özaltın

Abdulhamit Subasi's research contributions address complex challenges in biomedical signal analysis and artificial intelligence. The work on EEG-based emotion recognition and arrhythmia detection reflects the integration of signal processing techniques and machine learning algorithms to improve diagnostic and monitoring tools in clinical settings.

Best Publications

  • EEG signal classification using wavelet feature extraction and a mixture of expert model

    Abdulhamit Subasi

  • EEG signal classification using PCA, ICA, LDA and support vector machines

    Abdulhamit Subasi;M. Ismail Gursoy

  • Classification of EEG signals using neural network and logistic regression.

    Abdulhamit Subasi;Ergun Erçelebi

  • Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders

    Abdulhamit Subasi

  • Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system

    Jasmin Kevric;Abdulhamit Subasi

  • Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction

    Emina Alickovic;Jasmin Kevric;Abdulhamit Subasi

  • Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients

    Abdulhamit Subasi

  • Congestive heart failure detection using random forest classifier

    Zerina Masetic;Abdulhamit Subasi

  • Comparison of decision tree algorithms for EMG signal classification using DWT

    Ercan Gokgoz;Abdulhamit Subasi

  • Breast cancer diagnosis using GA feature selection and Rotation Forest

    Emina AliăźKović;Abdulhamit Subasi

  • Ensemble SVM Method for Automatic Sleep Stage Classification

    Emina Alickovic;Abdulhamit Subasi

  • Traffic accident detection using random forest classifier

    Nejdet Dogru;Abdulhamit Subasi

  • Epileptic seizure detection using hybrid machine learning methods

    Abdulhamit Subasi;Jasmin Kevric;M. Abdullah Canbaz

  • Classification of EMG signals using wavelet neural network

    Abdulhamit Subasi;Mustafa Yilmaz;Hasan Riza Ozcalik

  • Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction

    Abdulhamit Subasi

  • A decision support system for automated identification of sleep stages from single-channel EEG signals

    Ahnaf Rashik Hassan;Abdulhamit Subasi

  • Epileptic seizure detection using dynamic wavelet network

    Abdulhamit Subasi

  • Classification of EMG signals using combined features and soft computing techniques

    Abdulhamit Subasi

  • An effective combining classifier approach using tree algorithms for network intrusion detection

    Jasmin Kevric;Samed Jukic;Abdulhamit Subasi

  • Automatic recognition of alertness level by using wavelet transform and artificial neural network

    M.Kemal Kiymik;Mehmet Akin;Abdulhamit Subasi

  • A Multitier Deep Learning Model for Arrhythmia Detection

    Mohamed Hammad;Abdullah M. Iliyasu;Abdulhamit Subasi;Edmond S. L. Ho

Frequent Co-Authors

Turker Tuncer
Turker Tuncer Fırat University
Sengul Dogan
Sengul Dogan Fırat University
Carlos Perez Bergmann
Carlos Perez Bergmann Federal University of Rio Grande do Sul
Jeff S. Shamma
Jeff S. Shamma University of Illinois at Urbana-Champaign
Ahmed A. Abd El-Latif
Ahmed A. Abd El-Latif Menoufia University
Yanchun Zhang
Yanchun Zhang Victoria University
Abdullah M. Iliyasu
Abdullah M. Iliyasu Prince Sattam Bin Abdulaziz University

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