Abdullah Caliskan

According to our database, Abdullah Caliskan authored at least 12 papers between 2017 and 2024.

Collaborative distances:

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

2024

River Network Biological Monitoring With AI.

Abdullah Caliskan, Joseph Walsh, Daniel Riordan

IEEE Technol. Soc. Mag., September, 2024

2023

The Biomonitoring of Ireland's River Network Using a 1D Convolution Neural Network.

Abdullah Caliskan, Daniel Riordan, Joseph Walsh

Proceedings of the IEEE International Symposium on Technology and Society, 2023

Condition Monitoring of an Autonomous Electric Drive Train by Using Machine Learning Methods.

Abdullah Caliskan, Conor O'Brien, Krishna Panduru, Joseph Walsh, Daniel Riordan

Proceedings of the 8th International Conference on Information and Education Innovations, 2023

2021

Transfer learning to detect neonatal seizure from electroencephalography signals.

Abdullah Caliskan, Suleyman Rencuzogullari

Neural Comput. Appl., 2021

2020

Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination.

Abdullah Caliskan, Zeynel Abidin Çil, Hasan Badem, Dervis Karaboga

IEEE Trans. Fuzzy Syst., 2020

2019

Application of Deep Neural Networks for Disease Diagnosis Through Medical Data Sets.

Alper Bastürk, Hasan Badem, Abdullah Caliskan, Mehmet Emin Yüksel

Proceedings of the Handbook of Deep Learning Applications., 2019

2018

Classification of high resolution hyperspectral remote sensing data using deep neural networks.

M. Emin Yüksel, Nurcan Sarikaya Basturk, Hasan Badem, Abdullah Caliskan, Alper Bastürk

J. Intell. Fuzzy Syst., 2018

Performance improvement of deep neural network classifiers by a simple training strategy.

Abdullah Caliskan, Mehmet Emin Yüksel, Hasan Badem, Alper Bastürk

Eng. Appl. Artif. Intell., 2018

A new hybrid optimization method combining artificial bee colony and limited-memory BFGS algorithms for efficient numerical optimization.

Hasan Badem, Alper Bastürk, Abdullah Caliskan, Mehmet Emin Yüksel

Appl. Soft Comput., 2018

2017

A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited-memory BFGS optimization algorithms.

Hasan Badem, Alper Bastürk, Abdullah Caliskan, Mehmet Emin Yüksel

Neurocomputing, 2017

Deep neural network classifier for hand movement prediction.

Alper Bastürk, Mehmet Emin Yüksel, Abdullah Caliskan, Hasan Badem

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Deep neural network based diagnosis system for melanoma skin cancer.

Alper Bastürk, Mehmet Emin Yüksel, Hasan Badem, Abdullah Caliskan

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017