Kemal Polat
Orcid: 0000-0003-1840-9958
According to our database1,
Kemal Polat
authored at least 164 papers
between 2004 and 2024.
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Bibliography
2024
Robust underwater image enhancement with cascaded multi-level sub-networks and triple attention mechanism.
Neural Networks, January, 2024
Dynamic trajectory partition optimization method based on historical trajectory data.
Appl. Soft Comput., January, 2024
Spatio-temporal characterisation and compensation method based on CNN and LSTM for residential travel data.
PeerJ Comput. Sci., 2024
Continual knowledge graph embedding enhancement for joint interaction-based next click recommendation.
Knowl. Based Syst., 2024
A knowledge-driven graph convolutional network for abnormal electrocardiogram diagnosis.
Knowl. Based Syst., 2024
New approaches to epileptic seizure prediction based on EEG signals using hybrid CNNs.
Int. J. Intell. Eng. Informatics, 2024
A novel IoT-based arrhythmia detection system with ECG signals using a hybrid convolutional neural network and neural architecture search network.
Int. J. Appl. Decis. Sci., 2024
Expert Syst. Appl., 2024
Expert Syst. Appl., 2024
A novel hybrid model in the diagnosis and classification of Alzheimer's disease using EEG signals: Deep ensemble learning (DEL) approach.
Biomed. Signal Process. Control., 2024
Spectrally distinct pixel extraction and kernel filtering for brain tumour diagnosis.
Biomed. Signal Process. Control., 2024
Convolution smoothing and non-convex regularization for support vector machine in high dimensions.
Appl. Soft Comput., 2024
Brain tumor detection with multi-scale fractal feature network and fractal residual learning.
Appl. Soft Comput., 2024
A MIL-based framework via contrastive instance learning and multimodal learning for long-term ECG classification.
Appl. Soft Comput., 2024
Appl. Soft Comput., 2024
Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network.
Artif. Intell. Medicine, 2024
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network.
Adv. Eng. Informatics, 2024
Detection of Alzheimer's Disease from EEG Signals Using Explainable Artificial Intelligence Analysis.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024
2023
ReX-Net: A reflectance-guided underwater image enhancement network for extreme scenarios.
Expert Syst. Appl., November, 2023
Exposing low-quality deepfake videos of Social Network Service using Spatial Restored Detection Framework.
Expert Syst. Appl., November, 2023
Consistency- and dependence-guided knowledge distillation for object detection in remote sensing images.
Expert Syst. Appl., November, 2023
Appl. Soft Comput., November, 2023
Accurate 3D contrast-free myocardial infarction delineation using a 4D dual-stream spatiotemporal feature learning framework.
Appl. Soft Comput., October, 2023
Brain tumor classification using the modified ResNet50 model based on transfer learning.
Biomed. Signal Process. Control., September, 2023
Classification of smart grid stability prediction using cascade machine learning methods and the internet of things in smart grid.
Neural Comput. Appl., August, 2023
Morphology properties of scapular spine relative to reverse shoulder arthroplasty: A biomechanical study.
Biomed. Signal Process. Control., August, 2023
Adv. Eng. Informatics, August, 2023
Secrecy outage probability and limiting threshold criteria in an optimal SNR regime by maximizing desired transfer rate.
Internet Things, July, 2023
A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification.
Expert Syst. Appl., July, 2023
Diagnosis and classification of Parkinson's disease using ensemble learning and 1D-PDCovNN.
Comput. Biol. Medicine, July, 2023
HOG transformation based feature extraction framework in modified Resnet50 model for brain tumor detection.
Biomed. Signal Process. Control., July, 2023
Correction to: Fusion of overexposed and underexposed images using caputo differential operator for resolution and texture based enhancement.
Appl. Intell., July, 2023
Fusion of overexposed and underexposed images using caputo differential operator for resolution and texture based enhancement.
Appl. Intell., June, 2023
Smooth quantile regression and distributed inference for non-randomly stored big data.
Expert Syst. Appl., April, 2023
A multi-stage melanoma recognition framework with deep residual neural network and hyperparameter optimization-based decision support in dermoscopy images.
Expert Syst. Appl., April, 2023
Detection of Atrial Fibrillation From Variable-Duration ECG Signal Based on Time-Adaptive Densely Network and Feature Enhancement Strategy.
IEEE J. Biomed. Health Informatics, February, 2023
Residual block fully connected DCNN with categorical generalized focal dice loss and its application to Alzheimer's disease severity detection.
PeerJ Comput. Sci., 2023
A smart decision support system to diagnose arrhythymia using ensembled ConvNet and ConvNet-LSTM model.
Expert Syst. Appl., 2023
Aliasing black box adversarial attack with joint self-attention distribution and confidence probability.
Expert Syst. Appl., 2023
Wavelet transform based deep residual neural network and ReLU based Extreme Learning Machine for skin lesion classification.
Expert Syst. Appl., 2023
2022
Expert Syst. Appl., October, 2022
DCA-IoMT: Knowledge-Graph-Embedding-Enhanced Deep Collaborative Alert Recommendation Against COVID-19.
IEEE Trans. Ind. Informatics, 2022
Wi-Fi signal-based human action acknowledgement using channel state information with CNN-LSTM: a device less approach.
Neural Comput. Appl., 2022
Inf. Sci., 2022
A novel facial emotion recognition method for stress inference of facial nerve paralysis patients.
Expert Syst. Appl., 2022
Novel dual-channel long short-term memory compressed capsule networks for emotion recognition.
Expert Syst. Appl., 2022
Expert Syst. Appl., 2022
Expert Syst. Appl., 2022
Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive survey.
Expert Syst. Appl., 2022
Expert Syst. Appl., 2022
ASHEED: Attention-shifting mechanism for depolarization of cluster head energy consumption in the smart sensing system.
Expert Syst. Appl., 2022
Automated COVID-19 detection in chest X-ray images using fine-tuned deep learning architectures.
Expert Syst. J. Knowl. Eng., 2022
2021
Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm.
PeerJ Comput. Sci., 2021
Novel hybrid DNN approaches for speaker verification in emotional and stressful talking environments.
Neural Comput. Appl., 2021
A novel classification framework using multiple bandwidth method with optimized CNN for brain-computer interfaces with EEG-fNIRS signals.
Neural Comput. Appl., 2021
An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events.
Expert Syst. Appl., 2021
A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification.
Expert Syst. Appl., 2021
Classification of imbalanced hyperspectral images using SMOTE-based deep learning methods.
Expert Syst. Appl., 2021
Markov features based DTCWS algorithm for online image forgery detection using ensemble classifier in the pandemic.
Expert Syst. Appl., 2021
Robust automated Parkinson disease detection based on voice signals with transfer learning.
Expert Syst. Appl., 2021
An improved elephant herding optimization using sine-cosine mechanism and opposition based learning for global optimization problems.
Expert Syst. Appl., 2021
Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images.
Expert Syst. Appl., 2021
Turkish J. Electr. Eng. Comput. Sci., 2021
Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study.
CoRR, 2021
Development of smart camera systems based on artificial intelligence network for social distance detection to fight against COVID-19.
Appl. Soft Comput., 2021
2020
A healthcare evaluation system based on automated weighted indicators with cross-indicators based learning approach in terms of energy management and cybersecurity.
Int. J. Medical Informatics, 2020
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines.
CoRR, 2020
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization.
Appl. Soft Comput., 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
A Novel Framework of Two Successive Feature Selection Levels Using Weight-Based Procedure for Voice-Loss Detection in Parkinson's Disease.
IEEE Access, 2020
2019
Deep long short-term memory networks-based automatic recognition of six different digital modulation types under varying noise conditions.
Neural Comput. Appl., 2019
Towards the classification of heart sounds based on convolutional deep neural network.
Health Inf. Sci. Syst., 2019
Turkish J. Electr. Eng. Comput. Sci., 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
Similarity-based attribute weighting methods via clustering algorithms in the classification of imbalanced medical datasets.
Neural Comput. Appl., 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
Guest editorial: New trends in data pre-processing methods for signal and image classification.
Neural Comput. Appl., 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
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
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
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
Int. J. Syst. Sci., 2014
Comput. Methods Programs Biomed., 2014
Pairwise FCM based feature weighting for improved classification of vertebral column disorders.
Comput. Biol. Medicine, 2014
Comput. Biol. Medicine, 2014
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
Appl. Soft Comput., 2013
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 Comput. Appl., 2012
Neural Comput. Appl., 2012
A novel data preprocessing method to estimate the air pollution (SO2): neighbor-based feature scaling (NBFS).
Neural Comput. Appl., 2012
Application of Attribute Weighting Method Based on Clustering Centers to Discrimination of Linearly Non-Separable Medical Datasets.
J. Medical Syst., 2012
Classification of Parkinson's disease using feature weighting method on the basis of fuzzy C-means clustering.
Int. J. Syst. Sci., 2012
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 Recognit., 2011
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.
Adv. Eng. Softw., 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 Syst. J. Knowl. Eng., 2009
2008
Usage of a novel, similarity-based weighting method to diagnose atherosclerosis from carotid artery Doppler signals.
Medical Biol. Eng. Comput., 2008
A New Approach to Diagnosing of Importance Degree of Obstructive Sleep Apnea Syndrome: Pairwise AIRS and Fuzzy-AIRS Classifiers.
J. Medical Syst., 2008
Pairwise ANFIS Approach to Determining the Disorder Degree of Obstructive Sleep Apnea Syndrome.
J. Medical Syst., 2008
Comparison of Different Classifier Algorithms on the Automated Detection of Obstructive Sleep Apnea Syndrome.
J. Medical Syst., 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).
J. Biomed. 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
Digit. Signal Process., 2008
Comput. Methods Programs Biomed., 2008
The effect of generalized discriminate analysis (GDA) to the classification of optic nerve disease from VEP signals.
Comput. Biol. Medicine, 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.
Appl. Math. Comput., 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 Syst. J. Knowl. Eng., 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
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.
Comput. Biol. Medicine, 2007
A novel approach to estimation of E. coli promoter gene sequences: Combining feature selection and least square support vector machine (FS_LSSVM).
Appl. Math. Comput., 2007
Prediction of hepatitis disease based on principal component analysis and artificial immune recognition system.
Appl. Math. Comput., 2007
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform.
Appl. Math. Comput., 2007
Detection of ECG Arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine.
Appl. Math. Comput., 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 <i>k</i> -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 Recognit., 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 Process. 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
Proceedings of the Computer and Information Sciences, 2004