Robust multi bit and high quality audio watermarking using pseudo-random sequences. - Ergun Erçelebi; Abdulhamit Subasi (Comput. Electr. Eng., 2005)

Performance improvement of dynamic buffered ATM switch. - Abdulhamit Subasi; Etem Koklukaya (Comput. Electr. Eng., 2005)

Classification of EEG signals using neural network and logistic regression. - Abdulhamit Subasi; Ergun Erçelebi (Comput. Methods Programs Biomed., 2005)

Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients. - Abdulhamit Subasi (Expert Syst. Appl., 2005)

Epileptic seizure detection using dynamic wavelet network. - Abdulhamit Subasi (Expert Syst. Appl., 2005)

Automatic recognition of vigilance state by using a wavelet-based artificial neural network. - Abdulhamit Subasi; M. Kemal Kiymik; Mehmet Akin; Osman Erogul (Neural Comput. Appl., 2005)

Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing. - Abdulhamit Subasi; Ahmet Alkan; Etem Koklukaya; M. Kemal Kiymik (Neural Networks, 2005)

Comparison of subspace-based methods with AR parametric methods in epileptic seizure detection. - Abdulhamit Subasi; Ergun Erçelebi; Ahmet Alkan; Etem Koklukaya (Comput. Biol. Medicine, 2006)

Automatic detection of epileptic seizure using dynamic fuzzy neural networks. - Abdulhamit Subasi (Expert Syst. Appl., 2006)

Classification of EMG Signals by Using AR Spectral Estimation Methods. - Mehmet Recep Bozkurt; Abdulhamit Subasi; Etem Koklukaya (IC-AI, 2007)

Selection of optimal AR spectral estimation method for EEG signals using Cramer-Rao bound. - Abdulhamit Subasi (Comput. Biol. Medicine, 2007)

Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction. - Abdulhamit Subasi (Comput. Biol. Medicine, 2007)

EEG signal classification using wavelet feature extraction and a mixture of expert model. - Abdulhamit Subasi (Expert Syst. Appl., 2007)

A Decision Support System for Telemedicine Through the Mobile Telecommunications Platform. - Ali Eren; Abdulhamit Subasi; Osman Coskun (J. Medical Syst., 2008)

Prediction of early heat of hydration of plain and blended cements using neuro-fuzzy modelling techniques. - Abdulhamit Subasi; Ahmet Serdar Yilmaz; Hanifi Binici (Expert Syst. Appl., 2009)

EEG signal classification using PCA, ICA, LDA and support vector machines. - Abdulhamit Subasi; M. Ismail Gursoy (Expert Syst. Appl., 2010)

Muscle Fatigue Detection in EMG Using Time-Frequency Methods, ICA and Neural Networks. - Abdulhamit Subasi; M. Kemal Kiymik (J. Medical Syst., 2010)

Analysis of EEG Signals Under Flash Stimulation for Migraine and Epileptic Patients. - Selahaddin Batuhan Akben; Abdulhamit Subasi; Deniz Tuncel (J. Medical Syst., 2011)

Face recognition implementation for client server mobile application using PCA. - Emir Kremic; Abdulhamit Subasi; Kemal Hajdarevic (ITI, 2012)

Classification of EMG signals using combined features and soft computing techniques. - Abdulhamit Subasi (Appl. Soft Comput., 2012)

Medical decision support system for diagnosis of neuromuscular disorders using DWT and fuzzy support vector machines. - Abdulhamit Subasi (Comput. Biol. Medicine, 2012)

Intrusion Detection on Smartphones - Muhamed Halilovic; Abdulhamit Subasi (CoRR, 2012)

Analysis of Repetitive Flash Stimulation Frequencies and Record Periods to Detect Migraine Using Artificial Neural Network. - Selahaddin Batuhan Akben; Abdulhamit Subasi; Deniz Tuncel (J. Medical Syst., 2012)

Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders. - Abdulhamit Subasi (Comput. Biol. Medicine, 2013)

Effects of Two-way Data Binding on Better User Experience and Easier Development of Clinical Information Systems. - Nihad Omerbegovic; Nedim Omerbegovic; Abdulhamit Subasi (SWAT4LS, 2014)

Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders. - Ercan Gokgoz; Abdulhamit Subasi (J. Medical Syst., 2014)

The Effect of Multiscale PCA De-noising in Epileptic Seizure Detection. - Jasmin Kevric; Abdulhamit Subasi (J. Medical Syst., 2014)

Classification of the cardiotocogram data for anticipation of fetal risks using machine learning techniques. - Hakan Sahin; Abdulhamit Subasi (Appl. Soft Comput., 2015)

Comparison of decision tree algorithms for EMG signal classification using DWT. - Ercan Gokgoz; Abdulhamit Subasi (Biomed. Signal Process. Control., 2015)

Effect of Multiscale PCA De-noising in ECG Beat Classification for Diagnosis of Cardiovascular Diseases. - Emina Alickovic; Abdulhamit Subasi (Circuits Syst. Signal Process., 2015)

A decision support system for diagnosis of neuromuscular disorders using DWT and evolutionary support vector machines. - Abdulhamit Subasi (Signal Image Video Process., 2015)

Automatic identification of epileptic seizures from EEG signals using linear programming boosting. - Ahnaf Rashik Hassan; Abdulhamit Subasi (Comput. Methods Programs Biomed., 2016)

Congestive heart failure detection using random forest classifier. - Zerina Masetic; Abdulhamit Subasi (Comput. Methods Programs Biomed., 2016)

Performance of random forest and SVM in face recognition. - Emir Kremic; Abdulhamit Subasi (Int. Arab J. Inf. Technol., 2016)

Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier. - Emina Alickovic; Abdulhamit Subasi (J. Medical Syst., 2016)

Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system. - Jasmin Kevric; Abdulhamit Subasi (Biomed. Signal Process. Control., 2017)

A MapReduce-based rotation forest classifier for epileptic seizure prediction. - Samed Jukic; Abdulhamit Subasi (CoRR, 2017)

A decision support system for automated identification of sleep stages from single-channel EEG signals. - Ahnaf Rashik Hassan; Abdulhamit Subasi (Knowl. Based Syst., 2017)

Breast cancer diagnosis using GA feature selection and Rotation Forest. - Emina Alickovic; Abdulhamit Subasi (Neural Comput. Appl., 2017)

An effective combining classifier approach using tree algorithms for network intrusion detection. - Jasmin Kevric; Samed Jukic; Abdulhamit Subasi (Neural Comput. Appl., 2017)

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 (Biomed. Signal Process. Control., 2018)

Hardware implementation of auto-mutual information function for condition monitoring. - Harun Siljak; Abdulhamit Subasi; Belle R. Upadhyaya (Comput. Electr. Eng., 2018)

Cloud computing-based parallel genetic algorithm for gene selection in cancer classification. - Dino Keco; Abdulhamit Subasi; Jasmin Kevric (Neural Comput. Appl., 2018)

A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA. - Volkan Ülke; Afsin Sahin; Abdulhamit Subasi (Neural Comput. Appl., 2018)

Comparison of Random Subspace and Voting Ensemble Machine Learning Methods for Face Recognition. - Mehmet Akif Yaman; Abdulhamit Subasi; Frank Rattay (Symmetry, 2018)

Ensemble SVM Method for Automatic Sleep Stage Classification. - Emina Alickovic; Abdulhamit Subasi (IEEE Trans. Instrum. Meas., 2018)

Intrusion Detection in Smart Grid Using Bagging Ensemble Classifiers. - Abdulhamit Subasi; Saeed Mian Qaisar; Malak T. Al-Nory; Khulood A. Rambo (ISGT Europe, 2019)

Effect of photic stimulation for migraine detection using random forest and discrete wavelet transform. - Abdulhamit Subasi; Aysha Ahmed; Emina Alickovic; Ahnaf Rashik Hassan (Biomed. Signal Process. Control., 2019)

Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers. - Adaleta Gicic; Abdulhamit Subasi (Expert Syst. J. Knowl. Eng., 2019)

Epileptic seizure detection using hybrid machine learning methods. - Abdulhamit Subasi; Jasmin Kevric; Muhammed Abdullah Canbaz (Neural Comput. Appl., 2019)

Real-Time Implementation of a Multidomain Feature Fusion Model Using Inherently Available Large Sensor Data. - Anil Hazarika; Pranjal Barman; Champak Talukdar; Lachit Dutta; Abdulhamit Subasi; Manabendra Bhuyan (IEEE Trans. Ind. Informatics, 2019)

A novel ensemble local graph structure based feature extraction network for EEG signal analysis. - Türker Tuncer; Sengül Dogan; Fatih Ertam; Abdulhamit Subasi (Biomed. Signal Process. Control., 2020)

Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition. - Türker Tuncer; Sengül Dogan; Abdulhamit Subasi (Biomed. Signal Process. Control., 2020)

Epilepsy seizure detection using complete ensemble empirical mode decomposition with adaptive noise. - Ahnaf Rashik Hassan; Abdulhamit Subasi; Yanchun Zhang (Knowl. Based Syst., 2020)

Diagnosis of Neuromuscular Disorders Using DT-CWT and Rotation Forest Ensemble Classifier. - Abdulhamit Subasi (IEEE Trans. Instrum. Meas., 2020)

An Automated Daily Sports Activities and Gender Recognition Method Based on Novel Multikernel Local Diamond Pattern Using Sensor Signals. - Türker Tuncer; Fatih Ertam; Sengül Dogan; Abdulhamit Subasi (IEEE Trans. Instrum. Meas., 2020)

An Overview of Machine Learning-Based Techniques for Solving Optimization Problems in Communications and Signal Processing. - Hayssam Dahrouj; Rawan Alghamdi; Hibatallah Alwazani; Sarah Bahanshal; Alaa Alameer Ahmad; Alice Faisal; Rahaf Shalabi; Reem Alhadrami; Abdulhamit Subasi; Malak T. Al-Nory; Omar A. Kittaneh; Jeff S. Shamma (IEEE Access, 2021)

Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree. - Hezam Albaqami; Ghulam Mubashar Hassan; Abdulhamit Subasi; Amitava Datta (Biomed. Signal Process. Control., 2021)

EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier. - Abdulhamit Subasi; Türker Tuncer; Sengül Dogan; Dahiru Tanko; Ünal Sakoglu (Biomed. Signal Process. Control., 2021)

EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection. - Türker Tuncer; Sengül Dogan; Abdulhamit Subasi (Biomed. Signal Process. Control., 2021)

An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning. - Fatih Özyurt; Türker Tuncer; Abdulhamit Subasi (Comput. Biol. Medicine, 2021)

Analysis of brain-facial muscle connection in the static fractal visual stimulation. - Mirra Soundirarajan; Mohammad Hossein Babini; Sue Sim; Visvamba Nathan; Abdulhamit Subasi; Hamidreza Namazi (Int. J. Imaging Syst. Technol., 2021)

A Multitier Deep Learning Model for Arrhythmia Detection. - Mohamed Hammad; Abdullah M. Iliyasu; Abdulhamit Subasi; Edmond S. L. Ho; Ahmed A. Abd El-Latif 001 (IEEE Trans. Instrum. Meas., 2021)

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies. - Afshin Shoeibi; Navid Ghassemi; Marjane Khodatars; Parisa Moridian; Roohallah Alizadehsani; Assef Zare; Abbas Khosravi; Abdulhamit Subasi; U. Rajendra Acharya; Juan Manuel Górriz (Biomed. Signal Process. Control., 2022)

A novel Discrete Wavelet-Concatenated Mesh Tree and ternary chess pattern based ECG signal recognition method. - Turker Tuncer; Sengül Dogan; Pawel Plawiak; Abdulhamit Subasi (Biomed. Signal Process. Control., 2022)

Novel finger movement classification method based on multi-centered binary pattern using surface electromyogram signals. - Turker Tuncer; Sengül Dogan; Abdulhamit Subasi (Biomed. Signal Process. Control., 2022)

Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. - Parisa Moridian; Navid Ghassemi; Mahboobeh Jafari; Salam Salloum-Asfar; Delaram Sadeghi; Marjane Khodatars; Afshin Shoeibi; Abbas Khosravi; Sai Ho Ling; Abdulhamit Subasi; Sara A. Abdulla; Roohallah Alizadehsani; et al. (CoRR, 2022)

Effective epileptic seizure detection based on the event-driven processing and machine learning for mobile healthcare. - Saeed Mian Qaisar; Abdulhamit Subasi (J. Ambient Intell. Humaniz. Comput., 2022)

Permeability prediction of petroleum reservoirs using stochastic gradient boosting regression. - Abdulhamit Subasi; Mohamed Fathy El-Amin; Tarek Darwich; Mubarak Dossary (J. Ambient Intell. Humaniz. Comput., 2022)

Surface EMG signal classification using TQWT, Bagging and Boosting for hand movement recognition. - Abdulhamit Subasi; Saeed Mian Qaisar (J. Ambient Intell. Humaniz. Comput., 2022)

Tourism demand forecasting using stacking ensemble model with adaptive fuzzy combiner. - Selcuk Cankurt; Abdulhamit Subasi (Soft Comput., 2022)

EEG-Based Driver Fatigue Detection Using FAWT and Multiboosting Approaches. - Abdulhamit Subasi; Aditya Saikia; Kholoud Bagedo; Amarprit Singh; Anil Hazarika (IEEE Trans. Ind. Informatics, 2022)

Intelligent credit scoring using deep learning methods. - Adaleta Gicic; Dzenana Donko; Abdulhamit Subasi (Concurr. Comput. Pract. Exp., 2023)

Electromyography Signal Classification Using Deep Learning. - Mekia Shigute Gaso; Selcuk Cankurt; Abdulhamit Subasi (CoRR, 2023)

An IoT-Based Noncontact ECG System: Sole of the Feet/Hands Palm. - Muhammad Irfan 008; Shun Peng; Barkoum Betra Felix; Noman Mustafa; Saadullah Farooq Abbasi; Abdelwahed Nahli; Abdulhamit Subasi; Tomi Westerlund; Wei Chen 015 (IEEE Internet Things J., 2023)

Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm. - Oznur Ozaltin; Orhan Coskun; Ozgur Yeniay; Abdulhamit Subasi (Int. J. Imaging Syst. Technol., 2023)

A novel automated tower graph based ECG signal classification method with hexadecimal local adaptive binary pattern and deep learning. - Abdulhamit Subasi; Sengul Dogan; Turker Tuncer (J. Ambient Intell. Humaniz. Comput., 2023)

Automated and accurate focal EEG signal detection method based on the cube pattern. - Turker Tuncer; Sengul Dogan; Muhammed Cagri Kaya; Abdulhamit Subasi (Multim. Tools Appl., 2023)

Automated facial expression recognition using novel textural transformation. - Turker Tuncer; Sengul Dogan; Abdulhamit Subasi (J. Ambient Intell. Humaniz. Comput., 2023)

Promoting accuracy in low-magnification histopathology grading: With augmentation and multi-dilation model. - Zonghan Gan; Abdulhamit Subasi (Biomed. Signal Process. Control., 2023)

OzNet: A New Deep Learning Approach for Automated Classification of COVID-19 Computed Tomography Scans. - Oznur Ozaltin; Ozgur Yeniay; Abdulhamit Subasi (Big Data, 2023)

An Ensemble Voting Approach With Innovative Multi-Domain Feature Fusion for Neonatal Sleep Stratification. - Muhammad Irfan 008; Hafza Ayesha Siddiqa; Abdelwahed Nahli; Chen Chen 039; Yan Xu; Laishuan Wang; Anum Nawaz; Abdulhamit Subasi; Tomi Westerlund; Wei Chen 015 (IEEE Access, 2024)

EEG-based schizophrenia classification using penalized sequential dictionary learning in the context of mobile healthcare. - Usman Haider; Muhammad Hanif 001; Ahmar Rashid; Saeed Mian Qaisar; Abdulhamit Subasi (Biomed. Signal Process. Control., 2024)

Analysis of Gene Regulatory Networks from Gene Expression Using Graph Neural Networks. - Hakan T. Otal; Abdulhamit Subasi; Furkan Kurt; Muhammed Abdullah Canbaz; Yasin Uzun (CoRR, 2024)

EEG-based emotion recognition using modified covariance and ensemble classifiers. - Abdulhamit Subasi; Saeed Mian Qaisar (J. Ambient Intell. Humaniz. Comput., 2024)

Time Sequence Deep Learning Model for Ubiquitous Tabular Data with Unique 3D Tensors Manipulation. - Adaleta Gicic; Dzenana Donko; Abdulhamit Subasi (Entropy, 2024)

FiboNeXt: Investigations for Alzheimer's Disease detection using MRI. - Turker Tuncer; Sengul Dogan; Abdulhamit Subasi (Biomed. Signal Process. Control., 2025)

Substance use prediction using artificial intelligence techniques. - Ali Unlu; Abdulhamit Subasi (J. Comput. Soc. Sci., 2025)

Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning. - Muhammad Irfan 008; Anum Nawaz; Riku Klen; Abdulhamit Subasi; Tomi Westerlund; Wei Chen 015 (CoRR, 2025)