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2020 – today
- 2025
[j79]Turker Tuncer, Sengul Dogan
, Abdulhamit Subasi:
FiboNeXt: Investigations for Alzheimer's Disease detection using MRI. Biomed. Signal Process. Control. 103: 107422 (2025)- [j78]Ali Unlu, Abdulhamit Subasi:
Substance use prediction using artificial intelligence techniques. J. Comput. Soc. Sci. 8(1): 21 (2025) - 2024
- [j77]Muhammad Irfan, Hafza Ayesha Siddiqa, Abdelwahed Nahli, Chen Chen, Yan Xu, Laishuan Wang, Anum Nawaz, Abdulhamit Subasi, Tomi Westerlund, Wei Chen:
An Ensemble Voting Approach With Innovative Multi-Domain Feature Fusion for Neonatal Sleep Stratification. IEEE Access 12: 206-218 (2024) - [j76]Usman Haider, Muhammad Hanif, Ahmar Rashid, Saeed Mian Qaisar, Abdulhamit Subasi:
EEG-based schizophrenia classification using penalized sequential dictionary learning in the context of mobile healthcare. Biomed. Signal Process. Control. 90: 105856 (2024) - [j75]Adaleta Gicic, Dzenana Donko, Abdulhamit Subasi:
Time Sequence Deep Learning Model for Ubiquitous Tabular Data with Unique 3D Tensors Manipulation. Entropy 26(9): 783 (2024) - [j74]Abdulhamit Subasi, Saeed Mian Qaisar:
EEG-based emotion recognition using modified covariance and ensemble classifiers. J. Ambient Intell. Humaniz. Comput. 15(1): 575-591 (2024) - [i8]Hakan T. Otal, Abdulhamit Subasi, Furkan Kurt, Muhammed Abdullah Canbaz, Yasin Uzun:
Analysis of Gene Regulatory Networks from Gene Expression Using Graph Neural Networks. CoRR abs/2409.13664 (2024) - 2023
- [j73]Oznur Ozaltin, Ozgur Yeniay, Abdulhamit Subasi:
OzNet: A New Deep Learning Approach for Automated Classification of COVID-19 Computed Tomography Scans. Big Data 11(6): 420-436 (2023) - [j72]Zonghan Gan, Abdulhamit Subasi:
Promoting accuracy in low-magnification histopathology grading: With augmentation and multi-dilation model. Biomed. Signal Process. Control. 86(Part A): 105118 (2023) - [j71]Adaleta Gicic, Dzenana Donko, Abdulhamit Subasi:
Intelligent credit scoring using deep learning methods. Concurr. Comput. Pract. Exp. 35(9) (2023) - [j70]Oznur Ozaltin, Orhan Coskun, Ozgur Yeniay, Abdulhamit Subasi:
Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm. Int. J. Imaging Syst. Technol. 33(1): 69-91 (2023) - [j69]Muhammad Irfan, Shun Peng, Barkoum Betra Felix, Noman Mustafa, Saadullah Farooq Abbasi, Abdelwahed Nahli, Abdulhamit Subasi, Tomi Westerlund, Wei Chen:
An IoT-Based Noncontact ECG System: Sole of the Feet/Hands Palm. IEEE Internet Things J. 10(21): 18718-18732 (2023) - [j68]Abdulhamit Subasi, Sengul Dogan, Turker Tuncer:
A novel automated tower graph based ECG signal classification method with hexadecimal local adaptive binary pattern and deep learning. J. Ambient Intell. Humaniz. Comput. 14(2): 711-725 (2023) - [j67]Turker Tuncer, Sengul Dogan, Abdulhamit Subasi:
Automated facial expression recognition using novel textural transformation. J. Ambient Intell. Humaniz. Comput. 14(7): 9435-9449 (2023) - [j66]Turker Tuncer, Sengul Dogan, Muhammed Cagri Kaya, Abdulhamit Subasi:
Automated and accurate focal EEG signal detection method based on the cube pattern. Multim. Tools Appl. 82(13): 19675-19691 (2023) - [i7]Mekia Shigute Gaso, Selcuk Cankurt, Abdulhamit Subasi:
Electromyography Signal Classification Using Deep Learning. CoRR abs/2305.04006 (2023) - 2022
- [j65]Turker Tuncer, Sengül Dogan, Abdulhamit Subasi:
Novel finger movement classification method based on multi-centered binary pattern using surface electromyogram signals. Biomed. Signal Process. Control. 71(Part): 103153 (2022) - [j64]Turker Tuncer, Sengül Dogan, Pawel Plawiak, Abdulhamit Subasi:
A novel Discrete Wavelet-Concatenated Mesh Tree and ternary chess pattern based ECG signal recognition method. Biomed. Signal Process. Control. 72(Part): 103331 (2022) - [j63]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz:
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies. Biomed. Signal Process. Control. 73: 103417 (2022) - [j62]Abdulhamit Subasi, Saeed Mian Qaisar:
Surface EMG signal classification using TQWT, Bagging and Boosting for hand movement recognition. J. Ambient Intell. Humaniz. Comput. 13(7): 3539-3554 (2022) - [j61]Abdulhamit Subasi, Mohamed Fathy El-Amin, Tarek Darwich, Mubarak Dossary:
Permeability prediction of petroleum reservoirs using stochastic gradient boosting regression. J. Ambient Intell. Humaniz. Comput. 13(7): 3555-3564 (2022) - [j60]Saeed Mian Qaisar, Abdulhamit Subasi:
Effective epileptic seizure detection based on the event-driven processing and machine learning for mobile healthcare. J. Ambient Intell. Humaniz. Comput. 13(7): 3619-3631 (2022) - [j59]Selcuk Cankurt, Abdulhamit Subasi:
Tourism demand forecasting using stacking ensemble model with adaptive fuzzy combiner. Soft Comput. 26(7): 3455-3467 (2022) - [j58]Abdulhamit Subasi, Aditya Saikia, Kholoud Bagedo, Amarprit Singh, Anil Hazarika:
EEG-Based Driver Fatigue Detection Using FAWT and Multiboosting Approaches. IEEE Trans. Ind. Informatics 18(10): 6602-6609 (2022) - [i6]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, Juan Manuel Górriz, U. Rajendra Acharya:
Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. CoRR abs/2206.11233 (2022) - 2021
- [j57]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:
An Overview of Machine Learning-Based Techniques for Solving Optimization Problems in Communications and Signal Processing. IEEE Access 9: 74908-74938 (2021) - [j56]Türker Tuncer, Sengül Dogan, Abdulhamit Subasi:
EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection. Biomed. Signal Process. Control. 68: 102591 (2021) - [j55]Abdulhamit Subasi, Türker Tuncer, Sengül Dogan, Dahiru Tanko, Ünal Sakoglu:
EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier. Biomed. Signal Process. Control. 68: 102648 (2021) - [j54]Hezam Albaqami, Ghulam Mubashar Hassan, Abdulhamit Subasi, Amitava Datta:
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree. Biomed. Signal Process. Control. 70: 102957 (2021) - [j53]Fatih Özyurt, Türker Tuncer, Abdulhamit Subasi:
An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning. Comput. Biol. Medicine 132: 104356 (2021) - [j52]Mirra Soundirarajan, Mohammad Hossein Babini, Sue Sim, Visvamba Nathan, Abdulhamit Subasi, Hamidreza Namazi:
Analysis of brain-facial muscle connection in the static fractal visual stimulation. Int. J. Imaging Syst. Technol. 31(2): 548-554 (2021) - [j51]Mohamed Hammad, Abdullah M. Iliyasu, Abdulhamit Subasi, Edmond S. L. Ho, Ahmed A. Abd El-Latif:
A Multitier Deep Learning Model for Arrhythmia Detection. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [i5]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz:
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies. CoRR abs/2109.04364 (2021) - 2020
- [j50]Türker Tuncer, Sengül Dogan, Abdulhamit Subasi:
Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition. Biomed. Signal Process. Control. 58: 101872 (2020) - [j49]Türker Tuncer, Sengül Dogan, Fatih Ertam, Abdulhamit Subasi:
A novel ensemble local graph structure based feature extraction network for EEG signal analysis. Biomed. Signal Process. Control. 61: 102006 (2020) - [j48]Ahnaf Rashik Hassan, Abdulhamit Subasi, Yanchun Zhang:
Epilepsy seizure detection using complete ensemble empirical mode decomposition with adaptive noise. Knowl. Based Syst. 191: 105333 (2020) - [j47]Abdulhamit Subasi:
Diagnosis of Neuromuscular Disorders Using DT-CWT and Rotation Forest Ensemble Classifier. IEEE Trans. Instrum. Meas. 69(5): 1940-1947 (2020) - [j46]Türker Tuncer, Fatih Ertam, Sengül Dogan, Abdulhamit Subasi:
An Automated Daily Sports Activities and Gender Recognition Method Based on Novel Multikernel Local Diamond Pattern Using Sensor Signals. IEEE Trans. Instrum. Meas. 69(12): 9441-9448 (2020) - [i4]Hezam Albaqami, Ghulam Mubashar Hassan, Abdulhamit Subasi, Amitava Datta:
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree. CoRR abs/2012.10034 (2020)
2010 – 2019
- 2019
- [j45]Abdulhamit Subasi, Aysha Ahmed, Emina Alickovic, Ahnaf Rashik Hassan:
Effect of photic stimulation for migraine detection using random forest and discrete wavelet transform. Biomed. Signal Process. Control. 49: 231-239 (2019) - [j44]Adaleta Gicic, Abdulhamit Subasi:
Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers. Expert Syst. J. Knowl. Eng. 36(2) (2019) - [j43]Abdulhamit Subasi, Jasmin Kevric, Muhammed Abdullah Canbaz:
Epileptic seizure detection using hybrid machine learning methods. Neural Comput. Appl. 31(1): 317-325 (2019) - [j42]Anil Hazarika, Pranjal Barman, Champak Talukdar, Lachit Dutta, Abdulhamit Subasi, Manabendra Bhuyan:
Real-Time Implementation of a Multidomain Feature Fusion Model Using Inherently Available Large Sensor Data. IEEE Trans. Ind. Informatics 15(12): 6231-6239 (2019) - [c4]Abdulhamit Subasi, Saeed Mian Qaisar, Malak T. Al-Nory, Khulood A. Rambo:
Intrusion Detection in Smart Grid Using Bagging Ensemble Classifiers. ISGT Europe 2019: 1-5 - 2018
- [j41]Emina Alickovic, Jasmin Kevric, Abdulhamit Subasi:
Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction. Biomed. Signal Process. Control. 39: 94-102 (2018) - [j40]Harun Siljak, Abdulhamit Subasi, Belle R. Upadhyaya:
Hardware implementation of auto-mutual information function for condition monitoring. Comput. Electr. Eng. 66: 30-39 (2018) - [j39]Volkan Ülke, Afsin Sahin, Abdulhamit Subasi:
A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA. Neural Comput. Appl. 30(5): 1519-1527 (2018) - [j38]Dino Keco, Abdulhamit Subasi, Jasmin Kevric:
Cloud computing-based parallel genetic algorithm for gene selection in cancer classification. Neural Comput. Appl. 30(5): 1601-1610 (2018) - [j37]Mehmet Akif Yaman, Abdulhamit Subasi, Frank Rattay:
Comparison of Random Subspace and Voting Ensemble Machine Learning Methods for Face Recognition. Symmetry 10(11): 651 (2018) - [j36]Emina Alickovic, Abdulhamit Subasi:
Ensemble SVM Method for Automatic Sleep Stage Classification. IEEE Trans. Instrum. Meas. 67(6): 1258-1265 (2018) - [i3]Harun Siljak, Abdulhamit Subasi, Belle R. Upadhyaya:
Hardware implementation of auto-mutual information function for condition monitoring. CoRR abs/1801.08444 (2018) - 2017
- [j35]Jasmin Kevric, Abdulhamit Subasi:
Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system. Biomed. Signal Process. Control. 31: 398-406 (2017) - [j34]Ahnaf Rashik Hassan, Abdulhamit Subasi:
A decision support system for automated identification of sleep stages from single-channel EEG signals. Knowl. Based Syst. 128: 115-124 (2017) - [j33]Emina Alickovic, Abdulhamit Subasi:
Breast cancer diagnosis using GA feature selection and Rotation Forest. Neural Comput. Appl. 28(4): 753-763 (2017) - [j32]Jasmin Kevric, Samed Jukic, Abdulhamit Subasi:
An effective combining classifier approach using tree algorithms for network intrusion detection. Neural Comput. Appl. 28(S-1): 1051-1058 (2017) - [i2]Samed Jukic, Abdulhamit Subasi:
A MapReduce-based rotation forest classifier for epileptic seizure prediction. CoRR abs/1712.06071 (2017) - 2016
- [j31]Zerina Masetic, Abdulhamit Subasi:
Congestive heart failure detection using random forest classifier. Comput. Methods Programs Biomed. 130: 54-64 (2016) - [j30]Ahnaf Rashik Hassan, Abdulhamit Subasi:
Automatic identification of epileptic seizures from EEG signals using linear programming boosting. Comput. Methods Programs Biomed. 136: 65-77 (2016) - [j29]Emir Kremic, Abdulhamit Subasi:
Performance of random forest and SVM in face recognition. Int. Arab J. Inf. Technol. 13(2): 287-293 (2016) - [j28]Emina Alickovic, Abdulhamit Subasi:
Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier. J. Medical Syst. 40(4): 108:1-108:12 (2016) - 2015
- [j27]Hakan Sahin, Abdulhamit Subasi:
Classification of the cardiotocogram data for anticipation of fetal risks using machine learning techniques. Appl. Soft Comput. 33: 231-238 (2015) - [j26]Ercan Gokgoz, Abdulhamit Subasi:
Comparison of decision tree algorithms for EMG signal classification using DWT. Biomed. Signal Process. Control. 18: 138-144 (2015) - [j25]Emina Alickovic, Abdulhamit Subasi:
Effect of Multiscale PCA De-noising in ECG Beat Classification for Diagnosis of Cardiovascular Diseases. Circuits Syst. Signal Process. 34(2): 513-533 (2015) - [j24]Abdulhamit Subasi:
A decision support system for diagnosis of neuromuscular disorders using DWT and evolutionary support vector machines. Signal Image Video Process. 9(2): 399-408 (2015) - 2014
- [j23]Ercan Gokgoz, Abdulhamit Subasi:
Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders. J. Medical Syst. 38(4): 31 (2014) - [j22]Jasmin Kevric, Abdulhamit Subasi:
The Effect of Multiscale PCA De-noising in Epileptic Seizure Detection. J. Medical Syst. 38(10): 131 (2014) - [c3]Nihad Omerbegovic, Nedim Omerbegovic, Abdulhamit Subasi:
Effects of Two-way Data Binding on Better User Experience and Easier Development of Clinical Information Systems. SWAT4LS 2014 - 2013
- [j21]Abdulhamit Subasi:
Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders. Comput. Biol. Medicine 43(5): 576-586 (2013) - 2012
- [j20]Abdulhamit Subasi:
Classification of EMG signals using combined features and soft computing techniques. Appl. Soft Comput. 12(8): 2188-2198 (2012) - [j19]Abdulhamit Subasi:
Medical decision support system for diagnosis of neuromuscular disorders using DWT and fuzzy support vector machines. Comput. Biol. Medicine 42(8): 806-815 (2012) - [j18]Selahaddin Batuhan Akben, Abdulhamit Subasi, Deniz Tuncel:
Analysis of Repetitive Flash Stimulation Frequencies and Record Periods to Detect Migraine Using Artificial Neural Network. J. Medical Syst. 36(2): 925-931 (2012) - [c2]Emir Kremic, Abdulhamit Subasi, Kemal Hajdarevic:
Face recognition implementation for client server mobile application using PCA. ITI 2012: 435-440 - [i1]Muhamed Halilovic, Abdulhamit Subasi:
Intrusion Detection on Smartphones. CoRR abs/1211.6610 (2012) - 2011
- [j17]Selahaddin Batuhan Akben, Abdulhamit Subasi, Deniz Tuncel:
Analysis of EEG Signals Under Flash Stimulation for Migraine and Epileptic Patients. J. Medical Syst. 35(3): 437-443 (2011) - 2010
- [j16]Abdulhamit Subasi, M. Ismail Gursoy:
EEG signal classification using PCA, ICA, LDA and support vector machines. Expert Syst. Appl. 37(12): 8659-8666 (2010) - [j15]Abdulhamit Subasi, M. Kemal Kiymik:
Muscle Fatigue Detection in EMG Using Time-Frequency Methods, ICA and Neural Networks. J. Medical Syst. 34(4): 777-785 (2010)
2000 – 2009
- 2009
- [j14]Abdulhamit Subasi, Ahmet Serdar Yilmaz, Hanifi Binici:
Prediction of early heat of hydration of plain and blended cements using neuro-fuzzy modelling techniques. Expert Syst. Appl. 36(3): 4940-4950 (2009) - 2008
- [j13]Ali Eren, Abdulhamit Subasi, Osman Coskun:
A Decision Support System for Telemedicine Through the Mobile Telecommunications Platform. J. Medical Syst. 32(1): 31-35 (2008) - 2007
- [j12]Abdulhamit Subasi:
Selection of optimal AR spectral estimation method for EEG signals using Cramer-Rao bound. Comput. Biol. Medicine 37(2): 183-194 (2007) - [j11]Abdulhamit Subasi:
Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction. Comput. Biol. Medicine 37(2): 227-244 (2007) - [j10]Abdulhamit Subasi:
EEG signal classification using wavelet feature extraction and a mixture of expert model. Expert Syst. Appl. 32(4): 1084-1093 (2007) - [c1]Mehmet Recep Bozkurt, Abdulhamit Subasi, Etem Koklukaya:
Classification of EMG Signals by Using AR Spectral Estimation Methods. IC-AI 2007: 369-372 - 2006
- [j9]Abdulhamit Subasi, Ergun Erçelebi, Ahmet Alkan, Etem Koklukaya:
Comparison of subspace-based methods with AR parametric methods in epileptic seizure detection. Comput. Biol. Medicine 36(2): 195-208 (2006) - [j8]Abdulhamit Subasi:
Automatic detection of epileptic seizure using dynamic fuzzy neural networks. Expert Syst. Appl. 31(2): 320-328 (2006) - 2005
- [j7]Abdulhamit Subasi, Etem Koklukaya:
Performance improvement of dynamic buffered ATM switch. Comput. Electr. Eng. 31(2): 152-165 (2005) - [j6]Ergun Erçelebi, Abdulhamit Subasi:
Robust multi bit and high quality audio watermarking using pseudo-random sequences. Comput. Electr. Eng. 31(8): 525-536 (2005) - [j5]Abdulhamit Subasi, Ergun Erçelebi:
Classification of EEG signals using neural network and logistic regression. Comput. Methods Programs Biomed. 78(2): 87-99 (2005) - [j4]Abdulhamit Subasi:
Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients. Expert Syst. Appl. 28(4): 701-711 (2005) - [j3]Abdulhamit Subasi:
Epileptic seizure detection using dynamic wavelet network. Expert Syst. Appl. 29(2): 343-355 (2005) - [j2]Abdulhamit Subasi, M. Kemal Kiymik, Mehmet Akin, Osman Erogul:
Automatic recognition of vigilance state by using a wavelet-based artificial neural network. Neural Comput. Appl. 14(1): 45-55 (2005) - [j1]Abdulhamit Subasi, Ahmet Alkan, Etem Koklukaya, M. Kemal Kiymik:
Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing. Neural Networks 18(7): 985-997 (2005)
Coauthor Index
Türker Tuncer
aka: Turker Tuncer
aka: Turker Tuncer
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