Classification and diagnosis of cervical cancer with softmax classification with stacked autoencoder. - Kemal Adem; Serhat Kiliçarslan; Onur Cömert (Expert Syst. Appl., 2019)

Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification. - Serhat Kiliçarslan; Mete Celik; Safak Sahin (Biomed. Signal Process. Control., 2021)

RSigELU: A nonlinear activation function for deep neural networks. - Serhat Kiliçarslan; Mete Celik (Expert Syst. Appl., 2021)

Derin öğrenme yöntemleri için doğrusal olmayan aktivasyon fonksiyonlarının geliştirilmesi (Development of nonlinear activation functions for deep learning methods) - Serhat Kiliçarslan (2021)

KAF + RSigELU: a nonlinear and kernel-based activation function for deep neural networks. - Serhat Kiliçarslan; Mete Celik (Neural Comput. Appl., 2022)

An application on forecasting for stock market prices: hybrid of some metaheuristic algorithms with multivariate adaptive regression splines. - Dilek Sabanci; Serhat Kiliçarslan; Kemal Adem (Int. J. Intell. Comput. Cybern., 2023)

PSO + GWO: a hybrid particle swarm optimization and Grey Wolf optimization based Algorithm for fine-tuning hyper-parameters of convolutional neural networks for Cardiovascular Disease Detection. - Serhat Kiliçarslan (J. Ambient Intell. Humaniz. Comput., 2023)

A novel nonlinear hybrid HardSReLUE activation function in transfer learning architectures for hemorrhage classification. - Serhat Kiliçarslan (Multim. Tools Appl., 2023)

Detection and classification of pneumonia using novel Superior Exponential (SupEx) activation function in convolutional neural networks. - Serhat Kiliçarslan; Cemil Közkurt; Selçuk Bas; Abdullah Elen (Expert Syst. Appl., 2023)

A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability. - Shigao Huang; Ibrahim Arpaci; Mostafa Al-Emran; Serhat Kiliçarslan; Mohammed A. Al-Sharafi (Multim. Tools Appl., 2023)

Deep learning-based approaches for robust classification of cervical cancer. - Ishak Paçal; Serhat Kiliçarslan (Neural Comput. Appl., 2023)

Identification of haploid and diploid maize seeds using hybrid transformer model. - Emrah Dönmez; Serhat Kiliçarslan; Cemil Közkurt; Aykut Diker; Fahrettin Burak Demir; Abdullah Elen (Multim. Syst., 2023)

αSechSig and αTanhSig: two novel non-monotonic activation functions. - Cemil Közkurt; Serhat Kiliçarslan; Selçuk Bas; Abdullah Elen (Soft Comput., 2023)

Parametric RSigELU: a new trainable activation function for deep learning. - Serhat Kiliçarslan; Mete Celik (Neural Comput. Appl., 2024)

Trish: an efficient activation function for CNN models and analysis of its effectiveness with optimizers in diagnosing glaucoma. - Cemil Közkurt; Aykut Diker; Abdullah Elen; Serhat Kiliçarslan; Emrah Dönmez; Fahrettin Burak Demir (J. Supercomput., 2024)

Improved multi-layer hybrid adaptive particle swarm optimization based artificial bee colony for optimizing feature selection and classification of microarray data. - Serhat Kiliçarslan; Emrah Dönmez (Multim. Tools Appl., 2024)

Advanced Residual Transformer (ART) method for identification of bile duct dilatation on CT data. - Ali Günes; Serhat Kiliçarslan; Emrah Dönmez (Expert Syst. Appl., 2025)

Impact of optimizers functions on detection of Melanoma using transfer learning architectures. - Serhat Kiliçarslan; Hatice Aktas Aydin; Kemal Adem; Esra Kavalci Yilmaz (Multim. Tools Appl., 2025)

Efficient and autonomous detection of olive leaf diseases using AI-enhanced MetaFormer. - Ishak Paçal; Serhat Kiliçarslan; Burhanettin Ozdemir; Muhammet Deveci; Seifedine Kadry 001 (Artif. Intell. Rev., 2025)