Serhat Kiliçarslan
Orcid: 0000-0001-9483-4425
According to our database1,
Serhat Kiliçarslan
authored at least 16 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Improved multi-layer hybrid adaptive particle swarm optimization based artificial bee colony for optimizing feature selection and classification of microarray data.
Multim. Tools Appl., August, 2024
Trish: an efficient activation function for CNN models and analysis of its effectiveness with optimizers in diagnosing glaucoma.
J. Supercomput., July, 2024
Neural Comput. Appl., May, 2024
2023
Soft Comput., December, 2023
Multim. Syst., December, 2023
Neural Comput. Appl., September, 2023
A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability.
Multim. Tools Appl., September, 2023
Detection and classification of pneumonia using novel Superior Exponential (SupEx) activation function in convolutional neural networks.
Expert Syst. Appl., May, 2023
A novel nonlinear hybrid HardSReLUE activation function in transfer learning architectures for hemorrhage classification.
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.
J. Ambient Intell. Humaniz. Comput., 2023
An application on forecasting for stock market prices: hybrid of some metaheuristic algorithms with multivariate adaptive regression splines.
Int. J. Intell. Comput. Cybern., 2023
2022
KAF + RSigELU: a nonlinear and kernel-based activation function for deep neural networks.
Neural Comput. Appl., 2022
2021
Derin öğrenme yöntemleri için doğrusal olmayan aktivasyon fonksiyonlarının geliştirilmesi (Development of nonlinear activation functions for deep learning methods)
PhD thesis, 2021
Expert Syst. Appl., 2021
Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification.
Biomed. Signal Process. Control., 2021
2019
Classification and diagnosis of cervical cancer with softmax classification with stacked autoencoder.
Expert Syst. Appl., 2019