Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification K Adem, S Kılıçarslan, O Cömert Expert Systems with Applications(ESWA), 2019 | 167* | 2019 |
Diagnosis and Classification of Cancer Using Hybrid Model Based on ReliefF and Convolutional Neural Network S Kiliçarslan, K Adem, M Celik Medical Hypotheses, 109577, 2020 | 87 | 2020 |
RSigELU: A nonlinear activation function for deep neural networks S Kiliçarslan, M Celik Expert Systems with Applications 174 (114805), 1-28, 2021 | 69 | 2021 |
Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification S Kiliçarslan, M Celik, S Sahin Biomedical Signal Processing and Control 63 (102231), 2021 | 69 | 2021 |
DIVORCE PREDICTION USING CORRELATION BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORKS MK Yöntem, K Adem, T İlhan, S Kılıçarslan Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi 9 (1), 259-273, 2019 | 60 | 2019 |
An overview of the activation functions used in deep learning algorithms S Kılıçarslan, K Adem, M Çelik Journal of New Results in Science 10 (3), 75-88, 2021 | 24 | 2021 |
Detection and Classification of Pneumonia Using Novel Superior Exponential (SupEx) Activation Function in Convolutional Neural Networks S Kiliçarslan, Cİ Közkurt, S Baş, A Elen Expert Systems with Applications, 2023 | 23 | 2023 |
Deep learning-based approaches for robust classification of cervical cancer I Pacal, S Kılıcarslan Neural Computing and Applications 35 (25), 18813-18828, 2023 | 21 | 2023 |
Performance analysis of optimization algorithms on stacked autoencoder A Kemal, S Kilicarslan 2019 3rd international symposium on multidisciplinary studies and innovative …, 2019 | 19 | 2019 |
COVID-19 Diagnosis Prediction in Emergency Care Patients using Convolutional Neural Network A Kemal, S KILIÇARSLAN Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi 2021 (2 …, 2021 | 18 | 2021 |
PSO+GWO: a hybrid particle swarm optimization and Grey Wolf optimization based Algorithm for fine-tuning hyper-parameters of convolutional neural networks for Cardiovascular … S Kiliçarslan Journal of Ambient Intelligence and Humanized Computing, 2022 | 11 | 2022 |
KAF + RSigELU: a nonlinear and kernel-based activation function for deep neural networks S Kiliçarslan, M Celik Neural Computing and Applications, 2022 | 11 | 2022 |
A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability S Huang, I Arpaci, M Al-Emran, S Kılıçarslan, MA Al-Sharafi Multimedia Tools and Applications 82 (22), 34183-34198, 2023 | 8 | 2023 |
Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network E Kavalcı Yılmaz, K Adem, S Kılıçarslan, AH Aktaş European Food Research and Technology, 2023 | 8 | 2023 |
Kuru Üzüm Tanelerinin Sınıflandırılması İçin Hibrit Bir Yaklaşım S KILIÇARSLAN Mühendislik Bilimleri ve Araştırmaları Dergisi 4 (1), 62-71, 2022 | 7 | 2022 |
Parçacık Sürü Optimizasyonu Kullanılarak Boyutu Azaltılmış Mikrodizi Verileri Üzerinde Makine Öğrenmesi Yöntemleri ile Prostat Kanseri Teşhisi (Prostate cancer diagnosis with … S KILIÇARSLAN, K ADEM, O CÖMERT Düzce Üniversitesi Bilim ve Teknoloji Dergisi 7 (1), 769-777, 2019 | 7 | 2019 |
ROTASYON ORMAN SINIFLANDIRMA ALGORİTMASI KULLANARAK KRONİK BÖBREK RAHATSIZLIĞININ TAHMİNİ S KILIÇARSLAN, M ÇELİK Journal of Science and Technology of Dumlupınar University 43, 21-34, 2019 | 6 | 2019 |
αSechSig and αTanhSig: two novel non-monotonic activation functions C Közkurt, S Kiliçarslan, S Baş, A Elen Soft Computing, 2023 | 4 | 2023 |
A novel nonlinear hybrid HardSReLUE activation function in transfer learning architectures for hemorrhage classification S Kiliçarslan Multimedia Tools and Applications, 2022 | 4 | 2022 |
A comparative study of bread wheat varieties identification on feature extraction, feature selection and machine learning algorithms S Kılıçarslan, S Kılıçarslan European Food Research and Technology 250, 135-149, 2024 | 3 | 2024 |