Serhat Kiliçarslan

Orcid: 0000-0001-9483-4425

According to our database1, Serhat Kiliçarslan authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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

Parametric RSigELU: a new trainable activation function for deep learning.
Neural Comput. Appl., May, 2024

2023
α­SechSig and α­TanhSig: two novel non-monotonic activation functions.
Soft Comput., December, 2023

Identification of haploid and diploid maize seeds using hybrid transformer model.
Multim. Syst., December, 2023

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

RSigELU: A nonlinear activation function for deep neural networks.
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


  Loading...