Serhat Kiliçarslan

According to our database, Serhat Kiliçarslan authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Parametric RSigELU: a new trainable activation function for deep learning.

Serhat Kiliçarslan, Mete Celik

Neural Comput. Appl., May, 2024

2023

α­SechSig and α­TanhSig: two novel non-monotonic activation functions.

Cemil Közkurt, Serhat Kiliçarslan, Selçuk Bas, Abdullah Elen

Soft Comput., December, 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., December, 2023

Deep learning-based approaches for robust classification of cervical cancer.

Ishak Paçal, Serhat Kiliçarslan

Neural Comput. Appl., September, 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., September, 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., May, 2023

A novel nonlinear hybrid HardSReLUE activation function in transfer learning architectures for hemorrhage classification.

Serhat Kiliçarslan

Multim. Tools Appl., February, 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

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

2022

KAF + RSigELU: a nonlinear and kernel-based activation function for deep neural networks.

Serhat Kiliçarslan, Mete Celik

Neural Comput. Appl., 2022

2021

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

Serhat Kiliçarslan

PhD thesis, 2021

RSigELU: A nonlinear activation function for deep neural networks.

Serhat Kiliçarslan, Mete Celik

Expert Syst. Appl., 2021

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

2019

Classification and diagnosis of cervical cancer with softmax classification with stacked autoencoder.

Kemal Adem, Serhat Kiliçarslan, Onur Cömert

Expert Syst. Appl., 2019