Ömer Faruk Ertugrul

Orcid: 0000-0003-0710-0867

According to our database1, Ömer Faruk Ertugrul authored at least 42 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Emotion recognition by skeleton-based spatial and temporal analysis.
Expert Syst. Appl., March, 2024

2023
Determining the fullness of garbage containers by deep learning.
Expert Syst. Appl., May, 2023

2022
Determining the most relevant frequency bands in motion identification by accelerometer sensors.
Multim. Tools Appl., 2022

Human identification based on accelerometer sensors obtained by mobile phone data.
Biomed. Signal Process. Control., 2022

Detecting hemorrhage types and bounding box of hemorrhage by deep learning.
Biomed. Signal Process. Control., 2022

2021
Employing deep learning architectures for image-based automatic cataract diagnosis.
Turkish J. Electr. Eng. Comput. Sci., 2021

Automatic diagnosis of cardiovascular disorders by sub images of the ECG signal using multi-feature extraction methods and randomized neural network.
Biomed. Signal Process. Control., 2021

2020
A novel clustering method built on random weight artificial neural networks and differential evolution.
Soft Comput., 2020

New local binary pattern approaches based on color channels in texture classification.
Multim. Tools Appl., 2020

A novel randomized machine learning approach: Reservoir computing extreme learning machine.
Appl. Soft Comput., 2020

2019
Extreme learning machine model for water network management.
Neural Comput. Appl., 2019

A novel randomized recurrent artificial neural network approach: recurrentrandom vector functional link network.
Turkish J. Electr. Eng. Comput. Sci., 2019

Estimation of neurological status from non-electroencephalography bio-signals by motif patterns.
Appl. Soft Comput., 2019

2018
Forecasting financial indicators by generalized behavioral learning method.
Soft Comput., 2018

Two Novel Versions of Randomized Feed Forward Artificial Neural Networks: Stochastic and Pruned Stochastic.
Neural Process. Lett., 2018

A novel type of activation function in artificial neural networks: Trained activation function.
Neural Networks, 2018

A noninvasive time-frequency-based approach to estimate cuffless arterial blood pressure.
Turkish J. Electr. Eng. Comput. Sci., 2018

Recognition of Daily and Sports Activities.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Determining the optimal number of body-worn sensors for human activity recognition.
Soft Comput., 2017

Gender classification from facial images using gray relational analysis with novel local binary pattern descriptors.
Signal Image Video Process., 2017

A novel machine learning method based on generalized behavioral learning theory.
Neural Comput. Appl., 2017

Developing correlations by extreme learning machine for calculating higher heating values of waste frying oils from their physical properties.
Neural Comput. Appl., 2017

A fast feature selection approach based on extreme learning machine and coefficient of variation.
Turkish J. Electr. Eng. Comput. Sci., 2017

A novel approach for extracting ideal exemplars by clustering for massivetime-ordered datasets.
Turkish J. Electr. Eng. Comput. Sci., 2017

A novel version of k nearest neighbor: Dependent nearest neighbor.
Appl. Soft Comput., 2017

2016
A novel feature extraction approach in SMS spam filtering for mobile communication: one-dimensional ternary patterns.
Secur. Commun. Networks, 2016

A novel approach for spam email detection based on shifted binary patterns.
Secur. Commun. Networks, 2016

A novel approach for SEMG signal classification with adaptive local binary patterns.
Medical Biol. Eng. Comput., 2016

Detection of Parkinson's disease by Shifted One Dimensional Local Binary Patterns from gait.
Expert Syst. Appl., 2016

2015
A joint generalized exemplar method for classification of massive datasets.
Appl. Soft Comput., 2015

Two novel local binary pattern descriptors for texture analysis.
Appl. Soft Comput., 2015

Detecting fault type and fault location in power transmission lines by extreme learning machines.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Wavelet transform based fingerprint recognition.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2014
Evaluation of texture features for automatic detecting butterfly species using extreme learning machine.
J. Exp. Theor. Artif. Intell., 2014

Adaptive texture energy measure method.
CoRR, 2014

Learning with classical conditioning.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2013
Complexity and irregularity analysis of the output data of a cortical network.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Bispectral analysis of epileptic EEG signals.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

EMG signal classification by extreme learning machine.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Fault detection at power transmission lines by extreme learning machine.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012
Effect of external stimulus and ionic concentrations on Hodgkin-Huxley neural model.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Fault analysis of power transmission line by Wigner Ville distribution, gray-level co-occurrence matrix and pattern recognation.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012


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