Kemal Polat

According to our database1, Kemal Polat authored at least 97 papers between 2004 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
OCE-NGC: A neutrosophic graph cut algorithm using optimized clustering estimation algorithm for dermoscopic skin lesion segmentation.
Appl. Soft Comput., 2020

Automatic determination of digital modulation types with different noises using Convolutional Neural Network based on time-frequency information.
Appl. Soft Comput., 2020

2019
Deep long short-term memory networks-based automatic recognition of six different digital modulation types under varying noise conditions.
Neural Computing and Applications, 2019

Towards the classification of heart sounds based on convolutional deep neural network.
Health Inf. Sci. Syst., 2019

Pairwise and variance based signal compression algorithm (PVBSC) in the P300 based speller systems using EEG signals.
Comput. Methods Programs Biomed., 2019

Classification of multi-carrier digital modulation signals using NCM clustering based feature-weighting method.
Comput. Ind., 2019

2018
Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques.
Neural Computing and Applications, 2018

Similarity-based attribute weighting methods via clustering algorithms in the classification of imbalanced medical datasets.
Neural Computing and Applications, 2018

Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification.
Comput. Methods Programs Biomed., 2018

A hybrid dermoscopy images segmentation approach based on neutrosophic clustering and histogram estimation.
Appl. Soft Comput., 2018

Cuff-less continuous blood pressure estimation from Electrocardiogram(ECG) and Photoplethysmography (PPG) signals with artificial neural network.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Machine learning based classification of violin and viola instrument sounds for the same notes.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

A novel fetal ECG signal compression method: Variance and neighboring based data compression.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017
Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques.
Neural Computing and Applications, 2017

Guest editorial: New trends in data pre-processing methods for signal and image classification.
Neural Computing and Applications, 2017

Covering-based rough set classification system.
Neural Computing and Applications, 2017

A novel image segmentation approach based on neutrosophic c-means clustering and indeterminacy filtering.
Neural Computing and Applications, 2017

Tolerance rough set firefly-based quick reduct.
Neural Computing and Applications, 2017

A new hybrid PSO assisted biogeography-based optimization for emotion and stress recognition from speech signal.
Expert Syst. Appl., 2017

Bispectral features and mean shift clustering for stress and emotion recognition from natural speech.
Comput. Electr. Eng., 2017

Hybrid BBO_PSO and higher order spectral features for emotion and stress recognition from natural speech.
Appl. Soft Comput., 2017

KNCM: Kernel Neutrosophic c-Means Clustering.
Appl. Soft Comput., 2017

A hybrid approach to image segmentation: Combination of BBO (Biogeography based optimization) and Histogram Based Cluster Estimation.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016
Histogram-based automatic segmentation of images.
Neural Computing and Applications, 2016

Special Issue: Soft computing in software engineering.
Appl. Soft Comput., 2016

Alternatively new signal for sleep staging processing in patients with Obstructive Sleep Apnea: Photoplethysmography signal.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015
Detection of abnormalities in lumbar discs from clinical lumbar MRI with hybrid models.
Appl. Soft Comput., 2015

Preface.
Appl. Soft Comput., 2015

Non-invasive prediction of hemoglobin level using machine learning techniques with the PPG signal's characteristics features.
Appl. Soft Comput., 2015

Investigation of effects of time domain features of the photoplethysmography (PPG) signal on sleep respiratory arrests.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2014
A new feature constituting approach to detection of vocal fold pathology.
Int. J. Systems Science, 2014

A new hybrid intelligent system for accurate detection of Parkinson's disease.
Comput. Methods Programs Biomed., 2014

Pairwise FCM based feature weighting for improved classification of vertebral column disorders.
Comp. in Bio. and Med., 2014

A novel feature ranking algorithm for biometric recognition with PPG signals.
Comp. in Bio. and Med., 2014

Real time heart rate detection using non-contact photoplethysmography signals.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2013
Data weighting method on the basis of binary encoded output to solve multi-class pattern classification problems.
Expert Syst. Appl., 2013

A hybrid expert system approach for telemonitoring of vocal fold pathology.
Appl. Soft Comput., 2013

Feature extraction for biometric recognition with photoplethysmography signals.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012
Usage of output-dependent data scaling in modeling and prediction of air pollution daily concentration values (PM10) in the city of Konya.
Neural Computing and Applications, 2012

Automatic determination of traffic accidents based on KMC-based attribute weighting.
Neural Computing and Applications, 2012

A novel data preprocessing method to estimate the air pollution (SO2): neighbor-based feature scaling (NBFS).
Neural Computing and Applications, 2012

Application of Attribute Weighting Method Based on Clustering Centers to Discrimination of Linearly Non-Separable Medical Datasets.
J. Medical Systems, 2012

Classification of Parkinson's disease using feature weighting method on the basis of fuzzy C-means clustering.
Int. J. Systems Science, 2012

Measuring of oxygen saturation using pulse oximeter based on fuzzy logic.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2012

2011
Corrigendum to "Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing" [Pattern Recognition 39(11) (2006) 2186-2193].
Pattern Recognition, 2011

Sleep spindles recognition system based on time and frequency domain features.
Expert Syst. Appl., 2011

Subtractive clustering attribute weighting (SCAW) to discriminate the traffic accidents on Konya-Afyonkarahisar highway in Turkey with the help of GIS: A case study.
Advances in Engineering Software, 2011

2010
Efficient sleep stage recognition system based on EEG signal using k-means clustering based feature weighting.
Expert Syst. Appl., 2010

Multi-class f-score feature selection approach to classification of obstructive sleep apnea syndrome.
Expert Syst. Appl., 2010

2009
Usage of class dependency based feature selection and fuzzy weighted pre-processing methods on classification of macular disease.
Expert Syst. Appl., 2009

A novel hybrid intelligent method based on C4.5 decision tree classifier and one-against-all approach for multi-class classification problems.
Expert Syst. Appl., 2009

A new feature selection method on classification of medical datasets: Kernel F-score feature selection.
Expert Syst. Appl., 2009

A new method to forecast of Escherichia coli promoter gene sequences: Integrating feature selection and Fuzzy-AIRS classifier system.
Expert Syst. Appl., 2009

Comparison of different classifier algorithms for diagnosing macular and optic nerve diseases.
Expert Systems, 2009

2008
Usage of a novel, similarity-based weighting method to diagnose atherosclerosis from carotid artery Doppler signals.
Med. Biol. Engineering and Computing, 2008

A New Approach to Diagnosing of Importance Degree of Obstructive Sleep Apnea Syndrome: Pairwise AIRS and Fuzzy-AIRS Classifiers.
J. Medical Systems, 2008

Pairwise ANFIS Approach to Determining the Disorder Degree of Obstructive Sleep Apnea Syndrome.
J. Medical Systems, 2008

Comparison of Different Classifier Algorithms on the Automated Detection of Obstructive Sleep Apnea Syndrome.
J. Medical Systems, 2008

Medical diagnosis of atherosclerosis from Carotid Artery Doppler Signals using principal component analysis (PCA), k-NN based weighting pre-processing and Artificial Immune Recognition System (AIRS).
Journal of Biomedical Informatics, 2008

A cascade learning system for classification of diabetes disease: Generalized Discriminant Analysis and Least Square Support Vector Machine.
Expert Syst. Appl., 2008

Artificial immune recognition system with fuzzy resource allocation mechanism classifier, principal component analysis and FFT method based new hybrid automated identification system for classification of EEG signals.
Expert Syst. Appl., 2008

Computer aided medical diagnosis system based on principal component analysis and artificial immune recognition system classifier algorithm.
Expert Syst. Appl., 2008

Principles component analysis, fuzzy weighting pre-processing and artificial immune recognition system based diagnostic system for diagnosis of lung cancer.
Expert Syst. Appl., 2008

Computer aided diagnosis of ECG data on the least square support vector machine.
Digit. Signal Process., 2008

Utilization of Discretization method on the diagnosis of optic nerve disease.
Comput. Methods Programs Biomed., 2008

The effect of generalized discriminate analysis (GDA) to the classification of optic nerve disease from VEP signals.
Comp. in Bio. and Med., 2008

Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals.
Artif. Intell. Medicine, 2008

A novel data reduction method: Distance based data reduction and its application to classification of epileptiform EEG signals.
Applied Mathematics and Computation, 2008

2007
Breast cancer and liver disorders classification using artificial immune recognition system (AIRS) with performance evaluation by fuzzy resource allocation mechanism.
Expert Syst. Appl., 2007

A novel hybrid method based on artificial immune recognition system (AIRS) with fuzzy weighted pre-processing for thyroid disease diagnosis.
Expert Syst. Appl., 2007

Automatic detection of heart disease using an artificial immune recognition system (AIRS) with fuzzy resource allocation mechanism and k.
Expert Syst. Appl., 2007

Automatic determination of diseases related to lymph system from lymphography data using principles component analysis (PCA), fuzzy weighting pre-processing and ANFIS.
Expert Syst. Appl., 2007

Medical decision support system based on artificial immune recognition immune system (AIRS), fuzzy weighted pre-processing and feature selection.
Expert Syst. Appl., 2007

A new medical decision making system: Least square support vector machine (LSSVM) with Fuzzy Weighting Pre-processing.
Expert Syst. Appl., 2007

An improved approach to medical data sets classification: artificial immune recognition system with fuzzy resource allocation mechanism.
Expert Systems, 2007

An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease.
Digit. Signal Process., 2007

Breast cancer diagnosis using least square support vector machine.
Digit. Signal Process., 2007

A hybrid approach to medical decision support systems: Combining feature selection, fuzzy weighted pre-processing and AIRS.
Comput. Methods Programs Biomed., 2007

A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis.
Comp. in Bio. and Med., 2007

A novel approach to estimation of E. coli promoter gene sequences: Combining feature selection and least square support vector machine (FS_LSSVM).
Applied Mathematics and Computation, 2007

Prediction of hepatitis disease based on principal component analysis and artificial immune recognition system.
Applied Mathematics and Computation, 2007

Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform.
Applied Mathematics and Computation, 2007

Detection of ECG Arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine.
Applied Mathematics and Computation, 2007

Prediction of E.Coli Promoter Gene Sequences Using a Hybrid Combination Based on Feature Selection, Fuzzy Weighted Pre-processing, and Decision Tree Classifier.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

A Hybrid Automated Detection System Based on Least Square Support Vector Machine Classifier and k -NN Based Weighted Pre-processing for Diagnosing of Macular Disease.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Artificial Immune Recognition System Based Classifier Ensemble on the Different Feature Subsets for Detecting the Cardiac Disorders from SPECT Images.
Proceedings of the Database and Expert Systems Applications, 18th International Conference, 2007

2006
Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing.
Pattern Recognition, 2006

A new method to medical diagnosis: Artificial immune recognition system (AIRS) with fuzzy weighted pre-processing and application to ECG arrhythmia.
Expert Syst. Appl., 2006

The effect to diagnostic accuracy of decision tree classifier of fuzzy and k-NN based weighted pre-processing methods to diagnosis of erythemato-squamous diseases.
Digit. Signal Process., 2006

A hybrid medical decision making system based on principles component analysis, k-NN based weighted pre-processing and adaptive neuro-fuzzy inference system.
Digit. Signal Process., 2006

Hepatitis disease diagnosis using a new hybrid system based on feature selection (FS) and artificial immune recognition system with fuzzy resource allocation.
Digit. Signal Process., 2006

Automated identification of diseases related to lymph system from lymphography data using artificial immune recognition system with fuzzy resource allocation mechanism (fuzzy-AIRS).
Biomed. Signal Proc. and Control, 2006

A Novel Approach to Resource Allocation Mechanism in Artificial Immune Recognition System: Fuzzy Resource Allocation Mechanism and Application to Diagnosis of Atherosclerosis Disease.
Proceedings of the Artificial Immune Systems, 5th International Conference, 2006

2005
A New Classification Method for Breast Cancer Diagnosis: Feature Selection Artificial Immune Recognition System (FS-AIRS).
Proceedings of the Advances in Natural Computation, First International Conference, 2005

The Medical Applications of Attribute Weighted Artificial Immune System (AWAIS): Diagnosis of Heart and Diabetes Diseases.
Proceedings of the Artificial Immune Systems: 4th International Conference, 2005

Outdoor Image Classification Using Artificial Immune Recognition System (AIRS) with Performance Evaluation by Fuzzy Resource Allocation Mechanism.
Proceedings of the Computer Analysis of Images and Patterns, 11th International Conference, 2005

2004
A New Classifier Based on Attribute Weighted Artificial Immune System (AWAIS).
Proceedings of the Computer and Information Sciences, 2004


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