Abdulhamit Subasi

发表

Wavelet and Teager Energy Operator (TEO) for Heart Sound Processing and Identification

Jasmin Kevric, Aiša Ramović, Lejla Bandić, 2017 .

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

Abdulhamit Subasi, M. Ismail Gursoy, A. Subasi, 2010, Expert Syst. Appl..

Muscle Fatigue Detection in EMG Using Time–Frequency Methods, ICA and Neural Networks

Abdulhamit Subasi, M. Kemal Kiymik, A. Subasi, 2009, Journal of Medical Systems.

Cloud-based mobile platform for EEG signal analysis

Saeed Mian Qaisar, Jasmin Kevric, Abdulhamit Subasi, 2016, 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA).

Adaptive Rate EEG Signal Processing for Epileptic Seizure Detection

Saeed Mian Qaisar, Abdulhamit Subasi, A. Subasi, 2019, 2019 13th International conference on Sampling Theory and Applications (SampTA).

An Adaptive Rate ECG Acquisition and Analysis for Efficient Diagnosis of the Cardiovascular Diseases

Saeed Mian Qaisar, Abdulhamit Subasi, A. Subasi, 2018, 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP).

Comparison of machine learning methods for two class motor imagery tasks using EEG in brain-computer interface

Saeed Mian Qaisar, Abdulhamit Subasi, Miznan Behri, 2018, 2018 Advances in Science and Engineering Technology International Conferences (ASET).

Classification of the cardiotocogram data for anticipation of fetal risks using machine learning techniques

Abdulhamit Subasi, Hakan Sahin, A. Subasi, 2015, Appl. Soft Comput..

Analysis of Repetitive Flash Stimulation Frequencies and Record Periods to Detect Migraine Using Artificial Neural Network

Abdulhamit Subasi, Selahaddin Batuhan Akben, Deniz Tuncel, 2012, Journal of Medical Systems.

Classification of EMG signals using combined features and soft computing techniques

Abdulhamit Subasi, A. Subasi, 2012, Appl. Soft Comput..

A low energy APRS-IS client-server infrastructure implementation using Raspberry Pi

Kemal Hajdarevic, Abdulhamit Subasi, Samim Konjicija, 2014, 2014 22nd Telecommunications Forum Telfor (TELFOR).

Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing

Abdulhamit Subasi, Ahmet Alkan, M. Kemal Kiymik, 2005, Neural Networks.

Surface EMG Signal Classification by Using WPD and Ensemble Tree Classifiers

Saeed Mian Qaisar, Abdulhamit Subasi, Amnah A. Abdullah, 2017 .

Analysis of EEG Signals Under Flash Stimulation for Migraine and Epileptic Patients

Abdulhamit Subasi, Selahaddin Batuhan Akben, Deniz Tuncel, 2011, Journal of Medical Systems.

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

Jasmin Kevric, Abdulhamit Subasi, Samed Jukic, 2017, Neural Computing and Applications.

Comparison of sub-space based MUSIC and AR BURG methods in diagnosis of migraine by support vector machines

Abdulhamit Subasi, Selahaddin Batuhan Akben, Mahmut Kemal Kiymik, 2010, 2010 IEEE 18th Signal Processing and Communications Applications Conference.

A MapReduce-based rotation forest classifier for epileptic seizure prediction pdf

Abdulhamit Subasi, Samed Jukic, 2017, ArXiv.

Automatic identification of epileptic seizures from EEG signals using linear programming boosting

Abdulhamit Subasi, Ahnaf Rashik Hassan, A. Subasi, 2016, Comput. Methods Programs Biomed..

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

Abdulhamit Subasi, A. Subasi, 2013, Comput. Biol. Medicine.

sEMG Signal Classification Using DWT and Bagging for Basic Hand Movements

Abdulhamit Subasi, Arub Alaskandarani, Asma Alsheikh Abubakir, 2018, 2018 21st Saudi Computer Society National Computer Conference (NCC).

Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition

Abdulhamit Subasi, Türker Tuncer, Sengül Dogan, 2020, Biomed. Signal Process. Control..

Epileptic seizure detection using hybrid machine learning methods

Jasmin Kevric, Abdulhamit Subasi, Muhammed Abdullah Canbaz, 2017, Neural Computing and Applications.

Effect of Multiscale PCA De-noising in ECG Beat Classification for Diagnosis of Cardiovascular Diseases

Abdulhamit Subasi, Emina Alickovic, A. Subasi, 2015, Circuits Syst. Signal Process..

Surface EMG based classification of basic hand movements using rotation forest

Saeed Mian Qaisar, Abdulhamit Subasi, Lojain Alharbi, 2018, 2018 Advances in Science and Engineering Technology International Conferences (ASET).

Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders

Abdulhamit Subasi, Ercan Gokgoz, A. Subasi, 2014, Journal of Medical Systems.

Classification of EEG signals using neural network and logistic regression

Abdulhamit Subasi, Ergun Erçelebi, A. Subasi, 2005, Comput. Methods Programs Biomed..

Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers

Abdulhamit Subasi, Adaleta Gicic, A. Subasi, 2018, Expert Syst. J. Knowl. Eng..

A decision support system for diagnosis of neuromuscular disorders using DWT and evolutionary support vector machines

Abdulhamit Subasi, A. Subasi, 2013, Signal, Image and Video Processing.

Medical decision support system for diagnosis of neuromuscular disorders using DWT and fuzzy support vector machines

Abdulhamit Subasi, A. Subasi, 2012, Comput. Biol. Medicine.

A Decision Support System for Telemedicine Through the Mobile Telecommunications Platform

Abdulhamit Subasi, Ali Eren, Osman Coskun, 2008, Journal of Medical Systems.

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

Abdulhamit Subasi, A. Subasi, 2007, Expert Syst. Appl..

Svxlink VOIP implementation using raspberry Pi in education and disaster relief situations

Kemal Hajdarevic, Abdulhamit Subasi, Samim Konjicija, 2014, 2014 X International Symposium on Telecommunications (BIHTEL).

The Impact of Mspca Signal De-Noising In Real-Time Wireless Brain Computer Interface System

Jasmin Kevric, Abdulhamit Subasi, A. Subasi, 2015, SOCO 2015.

Intrusion Detection on Smartphones pdf

Abdulhamit Subasi, Muhamed Halilovic, 2012, ArXiv.

Intelligent phishing website detection using random forest classifier

Abdulhamit Subasi, Esraa Molah, Fatin Almkallawi, 2017, 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA).

Developing a Generalized Scaling-Law for Oil Recovery Using Machine Learning Techniques

Abdulhamit Subasi, Mohamed F. El-Amin, 2019 .

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

Abdulhamit Subasi, Ahnaf Rashik Hassan, A. Subasi, 2017, Knowl. Based Syst..

Hardware implementation of auto-mutual information function for condition monitoring

Belle R. Upadhyaya, Abdulhamit Subasi, Harun Siljak, 2018, Comput. Electr. Eng..

Microarray Gene Expression Data Classification Using Feature Selection and Naïve Bayes Classifier

Abdulhamit Subasi, Halit Vural, A. Subasi, 2015 .

Effect of photic stimulation for migraine detection using random forest and discrete wavelet transform

Abdulhamit Subasi, Ahnaf Rashik Hassan, Emina Alickovic, 2019, Biomed. Signal Process. Control..

Performance improvement of dynamic buffered ATM switch

Abdulhamit Subasi, Etem Köklükaya, A. Subasi, 2005, Comput. Electr. Eng..

Epileptic seizure detection using dynamic wavelet network

Abdulhamit Subasi, A. Subasi, 2005, Expert Syst. Appl..

Face recognition implementation for client server mobile application using PCA

Kemal Hajdarevic, Abdulhamit Subasi, Emir Kremic, 2012, Proceedings of the ITI 2012 34th International Conference on Information Technology Interfaces.

Normalized Neural Networks for Breast Cancer Classification

Abdulhamit Subasi, Emina Alickovic, 2019 .

Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier

Abdulhamit Subasi, Emina Alickovic, A. Subasi, 2016, Journal of Medical Systems.

Berthil cepstrum: a novel vibration analysis method based on marginal Hilbert spectrum applied to artificial motor aging

Abdulhamit Subasi, Harun Šiljak, 2017 .

A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA

Abdulhamit Subasi, Volkan Ülke, Afsin Sahin, 2016, Neural Computing and Applications.

Comparison of Random Subspace and Voting Ensemble Machine Learning Methods for Face Recognition

Frank Rattay, Abdulhamit Subasi, Mehmet Akif Yaman, 2018, Symmetry.

Congestive heart failure detection using random forest classifier

Abdulhamit Subasi, Zerina Masetic, A. Subasi, 2016, Comput. Methods Programs Biomed..

An event driven surveillance system

Abdulhamit Subasi, Nehal Al-Yamani, SaeedMian Qaisar, 2016, 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA).

Application of Classical and Model-Based Spectral Methods to Describe the State of Alertness in EEG

Abdulhamit Subasi, A. Subasi, 2005, Journal of Medical Systems.

Effects of Two-way Data Binding on Better User Experience and Easier Development of Clinical Information Systems

Abdulhamit Subasi, Nedim Omerbegovic, Nihad Omerbegovic, 2014, SWAT4LS.

The Effect of Multiscale PCA De-noising in Epileptic Seizure Detection

Jasmin Kevric, Abdulhamit Subasi, A. Subasi, 2014, Journal of Medical Systems.

Selection of optimal AR spectral estimation method for EEG signals using Cramer-Rao bound

Abdulhamit Subasi, A. Subasi, 2007, Comput. Biol. Medicine.

Ensemble SVM Method for Automatic Sleep Stage Classification

Abdulhamit Subasi, Emina Alickovic, A. Subasi, 2018, IEEE Transactions on Instrumentation and Measurement.

NEURAL NETWORK CLASSIFICATION OF EEG SIGNALS BY USING AR WITH MLE PREPROCESSING FOR EPILEPTIC SEIZURE DETECTION

Abdulhamit Subasi, Mahmut Kemal Kiymik, Ahmet Alkan, 2005 .

Classification of EEG signals for epileptic seizure prediction using ANN

Jasmin Kevric, Abdulhamit Subasi, 2012 .

Automatic detection of epileptic seizure using dynamic fuzzy neural networks

Abdulhamit Subasi, 2006, Expert Syst. Appl..

Intrusion Detection in Smart Grid Using Data Mining Techniques

Abdulhamit Subasi, Malak T. Al-Nory, Khulood A. Rambo, 2018, 2018 21st Saudi Computer Society National Computer Conference (NCC).

Comparison of artificial neural network and support vector machine classification methods in diagnosis of migraine by using EEG

Abdulhamit Subasi, Selahaddin Batuhan Akben, Mahmut Kemal Kiymik, 2010, 2010 IEEE 18th Signal Processing and Communications Applications Conference.

Classification of EMG Signals by Using AR Spectral Estimation Methods

Mehmet Recep Bozkurt, Abdulhamit Subasi, Etem Köklükaya, 2007, IC-AI.

Automated EMG Signal Classification for Diagnosis of Neuromuscular Disorders Using DWT and Bagging

Abdulhamit Subasi, Emine Yaman, Yara Somaily, 2018 .

IoT based mobile healthcare system for human activity recognition

Rabea Kurdi, Abdulhamit Subasi, Kholoud Khateeb, 2018, 2018 15th Learning and Technology Conference (L&T).

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

Jasmin Kevric, Abdulhamit Subasi, Emina Alickovic, 2018, Biomed. Signal Process. Control..

Performance of random forest and SVM in face recognition

Abdulhamit Subasi, Emir Kremic, A. Subasi, 2016, Int. Arab J. Inf. Technol..

Comparison of decision tree algorithms for EMG signal classification using DWT

Abdulhamit Subasi, Ercan Gokgoz, A. Subasi, 2015, Biomed. Signal Process. Control..

Effect of Flash Stimulation for Migraine Detection Using Decision Tree Classifiers

Abdulhamit Subasi, Emina Alickovic, Aysha Ahmed, 2018 .

Biomedical Signal Processing and Control

Jasmin Kevric, Abdulhamit Subasi, A. Subasi, 2016 .

Effective epileptic seizure detection based on the event-driven processing and machine learning for mobile healthcare

Abdulhamit Subasi, Saeed Mian Qaisar, A. Subasi, 2020, J. Ambient Intell. Humaniz. Comput..

Comparison of Decision Tree Algorithms for Spam E-mail Filtering

Abdulhamit Subasi, Sara Alzahrani, Afnan Aljuhani, 2018, 2018 1st International Conference on Computer Applications & Information Security (ICCAIS).

Traffic accident detection using random forest classifier

Abdulhamit Subasi, Nejdet Dogru, A. Subasi, 2018, 2018 15th Learning and Technology Conference (L&T).

Cloud computing-based parallel genetic algorithm for gene selection in cancer classification

Jasmin Kevric, Abdulhamit Subasi, Dino Keco, 2016, Neural Computing and Applications.

Sensor Based Human Activity Recognition Using Adaboost Ensemble Classifier

Abdulhamit Subasi, Tayeb Brahimi, Akila Sarirete, 2018 .

Epilepsy seizure detection using complete ensemble empirical mode decomposition with adaptive noise

Yanchun Zhang, Abdulhamit Subasi, Ahnaf Rashik Hassan, 2020, Knowl. Based Syst..

Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification

Abdulhamit Subasi, Emine Yaman, A. Subasi, 2019, BioMed research international.

Robust multi bit and high quality audio watermarking using pseudo-random sequences

Abdulhamit Subasi, Ergun Erçelebi, A. Subasi, 2005, Comput. Electr. Eng..

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

Abdulhamit Subasi, A. Subasi, 2005, Expert Syst. Appl..

Comparison of Ensemble Machine Learning Methods for Automated Classification of Focal and Non-Focal Epileptic EEG Signals

Jasmin Kevric, Abdulhamit Subasi, Muzafer Saračević, 2020 .

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

Abdulhamit Subasi, A. Subasi, 2007, Comput. Biol. Medicine.

Breast cancer diagnosis using GA feature selection and Rotation Forest

Abdulhamit Subasi, Emina Alickovic, A. Subasi, 2015, Neural Computing and Applications.

Neural Networks with Periodogram and Autoregressive Spectral Analysis Methods in Detection of Epileptic Seizure

Abdulhamit Subasi, M. Kemal Kiymik, H. R. Ozcalik, 2004, Journal of Medical Systems.

Prediction of early heat of hydration of plain and blended cements using neuro-fuzzy modelling techniques

Ahmet Serdar Yilmaz, Abdulhamit Subasi, Hanifi Binici, 2009, Expert Syst. Appl..

Automatic recognition of vigilance state by using a wavelet-based artificial neural network

Osman Erogul, Abdulhamit Subasi, M. Kemal Kiymik, 2005, Neural Computing & Applications.

Cloud-based cardiac health monitoring using event-driven ECG processing and ensemble classification techniques

Saeed Mian Qaisar, Abdulhamit Subasi, A. Subasi, 2020 .

Comparison of subspace-based methods with AR parametric methods in epileptic seizure detection

Abdulhamit Subasi, Ergun Erçelebi, Ahmet Alkan, 2006, Comput. Biol. Medicine.

Tourism demand forecasting using stacking ensemble model with adaptive fuzzy combiner

Abdulhamit Subasi, Selcuk Cankurt, A. Subasi, 2021, Soft Computing.

A new fractal pattern feature generation function based emotion recognition method using EEG

Sengul Dogan, Turker Tuncer, Abdulhamit Subasi, 2021 .

Diagnosis of Neuromuscular Disorders Using TQWT and Random Subspace Ensemble Classifier

Abdulhamit Subasi, Emine Yaman, A. Subasi, 2021 .

Predicted Oil Recovery Scaling-Law Using Stochastic Gradient Boosting Regression Model

Abdulhamit Subasi, Mohamed F. El-Amin, Mahmoud M. Selim, 2021 .

Appliance Identification Based on Smart Meter Data and Event-Driven Processing in the 5G Framework

Saeed Mian Qaisar, Futoon Alsharif, Abdulhamit Subasi, 2021 .

EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier

Abdulhamit Subasi, Unal Sakoglu, Türker Tuncer, 2021, Biomed. Signal Process. Control..

Intrusion Detection in Smart Healthcare Using Bagging Ensemble Classifier

Abdulhamit Subasi, Emir Kremic, Shahad Algebsani, 2021 .

Disease Prediction Using Artificial Intelligence: A Case Study on Epileptic Seizure Prediction

Abdulhamit Subasi, A. Subasi, 2021 .

Diagnosis of Neuromuscular Disorders Using Machine Learning Techniques

Abdulhamit Subasi, 2021, Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare.

Automated COVID-19 Detection from CT Images Using Deep Learning

Turker Tuncer, Abdulhamit Subasi, Fatih Özyurt, 2021 .

A novel automated tower graph based ECG signal classification method with hexadecimal local adaptive binary pattern and deep learning

Sengul Dogan, Turker Tuncer, Abdulhamit Subasi, 2021, Journal of Ambient Intelligence and Humanized Computing.

Computational intelligence in surface electromyogram signal classification

Sengul Dogan, Turker Tuncer, Abdulhamit Subasi, 2021, High Performance Computing for Intelligent Medical Systems.

An Overview of Machine Learning-Based Techniques for Solving Optimization Problems in Communications and Signal Processing

Jeff S. Shamma, Abdulhamit Subasi, Hayssam Dahrouj, 2021, IEEE Access.

EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection

Abdulhamit Subasi, Türker Tuncer, Sengül Dogan, 2021, Biomed. Signal Process. Control..

A novel Discrete Wavelet-Concatenated Mesh Tree and ternary chess pattern based ECG signal recognition method

Sengul Dogan, Turker Tuncer, Abdulhamit Subasi, 2022, Biomed. Signal Process. Control..

Novel finger movement classification method based on multi-centered binary pattern using surface electromyogram signals

Sengul Dogan, Turker Tuncer, Abdulhamit Subasi, 2022, Biomed. Signal Process. Control..

Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies

Navid Ghassemi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Biomed. Signal Process. Control..

Classification of Fetal State from the Cardiotocogram Recordings using ANN and Simple Logistic

Abdulhamit Subasi, Hakan Sahin, 2010 .

Comparison of Machine Learning Methods for Electricity Demand Forecasting in Bosnia and Herzegovina

Samir Avdakovic, Abdulhamit Subasi, A. Subasi, 2013, SOCO 2013.