| 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 | 121 | 2017 |
| 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 | 104 | 2017 |
| Drug-resistant Staphylococcus aureus bacteria detection by combining surface-enhanced Raman spectroscopy (SERS) and deep learning techniques FU Ciloglu, A Caliskan, AM Saridag, IH Kilic, M Tokmakci, M Kahraman, ... Scientific reports 11 (1), 18444, 2021 | 64 | 2021 |
| Performance enhancement of energy extraction capability for fuel cell implementations with improved Cuckoo search algorithm M İnci, A Caliskan International Journal of Hydrogen Energy 45 (19), 11309-11320, 2020 | 63 | 2020 |
| 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 | 56 | 2018 |
| 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 | 56 | 2018 |
| 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 | 50 | 2017 |
| 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 | 33 | 2017 |
| 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 | 29 | 2018 |
| 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 28 (6), 1084-1095, 2020 | 26 | 2020 |
| 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 | 25 | 2016 |
| Transfer learning to detect neonatal seizure from electroencephalography signals A Caliskan, S Rencuzogullari Neural Computing and Applications 33 (18), 12087-12101, 2021 | 22 | 2021 |
| 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 | 22 | 2016 |
| 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 | 20 | 2017 |
| 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 | 18 | 2020 |
| 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 | 11 | 2017 |
| 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 | 7 | 2019 |
| EMG SİNYALLERİ İÇİN HİBRİD ÖZNİTELİK ÇIKARMA YÖNTEMİ GELİŞTİRİLMESİ A Çalışkan Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 8 (2), 652-664, 2019 | 7 | 2019 |
| The effect of autoencoders over reducing the dimensionality of a dermatology data set A Caliskan, H Badem, A Basturk, ME Yuksel 2016 Medical Technologies National Congress (TIPTEKNO), 1-4, 2016 | 5 | 2016 |
| Derin sinir ağının sınıflandırma başarımının artırılması için yeni bir eğitim stratejisi geliştirilmesi ve biyomedikal veri setleri üzerinde test edilmesi A Çalişkan Fen Bilimleri Enstitüsü, 2017 | 3 | 2017 |
Hasan BADEMAssistant Professor at Computer Engineering Department of Kahramanmaras Sutcu Imam UniversityVerified email at ksu.edu.tr
