Abdullah Caliskan
Abdullah Caliskan
Dept. of Biomedical Engineering, Iskenderun Technical University
Verified email at iste.edu.tr
Title
Cited by
Cited by
Year
A New Efficient Training Strategy for Deep Neural Networks by Hybridization of Artificial Bee Colony and Limited–memory BFGS Optimization Algorithms
H Badem, A Basturk, A Caliskan, ME Yuksel
Neurocomputing 266 (2017), 506-526, 2017
542017
Diagnosis of The Parkinson Disease by Using Deep Neural Network Classifier
A Caliskan, H Badem, B Alper, ME Yuksel
IU-Journal of Electrical & Electronics Engineering 17 (2), 3311-3318, 2017
272017
Performance improvement of deep neural network classifiers by a simple training strategy
A Caliskan, ME Yuksel, H Badem, A Basturk
Engineering Applications of Artificial Intelligence 67, 14-23, 2018
242018
A new hybrid optimization method combining artificial bee colony and limited-memory BFGS algorithms for efficient numerical optimization
H Badem, A Basturk, A Caliskan, ME Yuksel
Applied Soft Computing 70, 826-844, 2018
212018
A deep neural network classifier for decoding human brain activity based on magnetoencephalography
A Caliskan, ME Yuksel, H Badem, A Basturk
Elektronika ir Elektrotechnika 23 (2), 63-67, 2017
172017
Classification of coronary artery disease data sets by using a deep neural network
A Caliskan, ME Yuksel
The Eurobiotech Journal 1 (4), 271-277, 2017
162017
Classification of human activity by using a Stacked Autoencoder
H Badem, A Caliskan, A Basturk, ME Yuksel
2016 Medical Technologies National Congress (TIPTEKNO), 1-4, 2016
152016
Classification and diagnosis of the parkinson disease by stacked autoencoder
H Badem, A Caliskan, A Basturk, ME Yuksel
2016 National Conference on Electrical, Electronics and Biomedical …, 2016
142016
Deep neural network based diagnosis system for melanoma skin cancer
A Baştürk, ME Yüksel, H Badem, A Caliskan
Signal Processing and Communications Applications Conference (SIU), 2017 …, 2017
102017
Classification of high resolution hyperspectral remote sensing data using deep neural networks
ME Yuksel, NS Basturk, H Badem, A Caliskan, A Basturk
Journal of Intelligent & Fuzzy Systems 34 (4), 2273-2285, 2018
92018
Deep neural network classifier for hand movement prediction
A Baştürk, ME Yüksel, A Caliskan, H Badem
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
82017
Performance enhancement of energy extraction capability for fuel cell implementations with improved Cuckoo search algorithm
M Inci, A Caliskan
International Journal of Hydrogen Energy, 2020
62020
EMG SİNYALLERİ İÇİN HİBRİD ÖZNİTELİK ÇIKARMA YÖNTEMİ GELİŞTİRİLMESİ
A Çalışkan
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 8 (2), 652-664, 2019
3*2019
Feature selection based on artificial bee colony for Parkinson disease diagnosis
H Badem, D Turkusagi, A Caliskan, ZA Çil
2019 Medical Technologies Congress (TIPTEKNO), 1-4, 2019
22019
Regression Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination
A Caliskan, ZA Cil, H Badem, D Karaboga
IEEE Transactions on Fuzzy Systems, 2020
12020
Application of deep neural networks for disease diagnosis through medical data sets
A Baştürk, H Badem, A Caliskan, ME Yüksel
Handbook of Deep Learning Applications, 259-292, 2019
12019
A comparative study on classification by deep learning
A Caliskan, H Badem, A Basturk, ME Yuksel
2016 National Conference on Electrical, Electronics and Biomedical …, 2016
12016
Prediction of Leakage from an Axial Piston Pump Slipper with Circular Dimples Using Deep Neural Networks
Ö Özmen, C Sinanoğlu, A Caliskan, H Badem
Chinese Journal of Mechanical Engineering 33, 1-11, 2020
2020
Machine Learning Applications for Classification Emergency and Non-Emergency Patients
ZA Çil, A Caliskan
Computational Intelligence and Soft Computing Applications in Healthcare …, 2020
2020
Determination of Window Size and Sliding Interval for EMG Signals by Using Genetic Algorithm
A Caliskan, H Badem, ZA Çil
2019 Medical Technologies Congress (TIPTEKNO), 1-4, 2019
2019
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Articles 1–20