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Nurullah Çalik
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2020 – today
- 2024
- [j10]Betul Hicdurmaz
, Nurullah Çalik
, Serpil Ustebay
:
Gauss-like Logarithmic Kernel Function to improve the performance of kernel machines on the small datasets. Pattern Recognit. Lett. 179: 178-184 (2024) - [j9]Nurullah Çalik
:
The model architecture search system for chromosome image classification. Signal Image Video Process. 18(5): 4435-4445 (2024) - [c11]Serkan Can Çaglayan, Sevval Uyanik, Nurullah Çalik:
Wet-Ink Signature Forgery Detection Using Siamese ResNeXt. SIU 2024: 1-4 - [c10]Mustafa Namdar, Arif Basgumus, Nurullah Çalik, Hakan Alakoca, Lutfiye Durak-Ata:
Secrecy Capacity Analyses and Trajectory Optimization for IRS-UAV Networks. TSP 2024: 173-176 - 2023
- [j8]Beste Atan
, Mehmet Basaran
, Nurullah Çalik
, Semiha Tedik Basaran
, Gulde Akkuzu, Lutfiye Durak-Ata
:
AI-Empowered Fast Task Execution Decision for Delay-Sensitive IoT Applications in Edge Computing Networks. IEEE Access 11: 1324-1334 (2023) - [j7]Nurullah Çalik
, Abdulkadir Albayrak
, Asli Unlu Akhan, Ilknur Türkmen, Abdulkerim Çapar
, Behcet Ugur Töreyin
, Gokhan Bilgin
, Bahar Muezzinoglu, Lutfiye Durak-Ata
:
Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features. IEEE J. Biomed. Health Informatics 27(4): 1747-1757 (2023) - [c9]Sultan Aldirmaz Çolak, Mehmet Basaran, N. Ahmet Bastug, Nurullah Çalik, Ertugrul Basar, Lutfiye Durak-Ata:
Estimation of Correlated Channels in Reconfigurable Intelligent Surfaces-Enabled 6G Networks. BlackSeaCom 2023: 96-101 - [c8]Muhammet Bolat, Nurullah Çalik
, Lütfiye Durak Ata:
Recovering JPEG Compression Loss via Deep Learning-Based Super Resolution Techniques. SIU 2023: 1-4 - 2022
- [j6]Onur Can Kurban, Nurullah Çalik
, Tülay Yildirim
:
Human and action recognition using adaptive energy images. Pattern Recognit. 127: 108621 (2022) - [d1]Peyman Mahouti
, Filiz Günes, Nurullah Çalik, Mehmet A. Belen, Slawomir Koziel:
Characterization of Microwave Transistors Using DC Bias Conditions. IEEE DataPort, 2022 - 2021
- [j5]Nurullah Çalik, Mehmet A. Belen, Peyman Mahouti
, Slawomir Koziel
:
Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model With Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization. IEEE Access 9: 38396-38410 (2021) - [j4]Slawomir Koziel
, Peyman Mahouti
, Nurullah Çalik, Mehmet A. Belen
, Stanislaw Szczepanski
:
Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate. IEEE Access 9: 71470-71481 (2021) - [j3]Abdulkadir Albayrak, Asli Unlu Akhan, Nurullah Çalik
, Abdulkerim Çapar, Gokhan Bilgin
, Behcet Ugur Töreyin
, Bahar Muezzinoglu, Ilknur Türkmen, Lutfiye Durak-Ata:
A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability. Medical Biol. Eng. Comput. 59(7): 1545-1561 (2021) - [c7]Beste Atan, Nurullah Çalik
, Semiha Tedik Basaran, Mehmet Basaran, Lutfiye Durak-Ata:
Learning-Based Fast Decision for Task Execution in Next Generation Wireless Networks. ICT 2021: 1-5 - [i2]Indrit Nallbani, Aydin Ayanzadeh, Reyhan Kevser Keser, Nurullah Çalik, Behçet Ugur Töreyin:
Representation Learning using Graph Autoencoders with Residual Connections. CoRR abs/2105.00695 (2021) - 2020
- [c6]Tansel Akgül, Nurullah Çalik
, Behçet Ugur Töreyin
:
Deep Learning-Based Fish Detection in Turbid Underwater Images. SIU 2020: 1-4 - [c5]Reyhan Kevser Keser
, Indrit Nallbani, Nurullah Çalik
, Aydin Ayanzadeh
, Behçet Ugur Töreyin
:
Graph Embedding For Link Prediction Using Residual Variational Graph Autoencoders. SIU 2020: 1-4
2010 – 2019
- 2019
- [b1]Nurullah Çalik:
Geniş ölçekli veriler üzerinde sınıflandırma ve bölütleme amaçlı evrişimsel sinir ağı ve istatistiksel modellerin geliştirilmesi (Development of convolutional neural network and statistical models for classification and segmentation on large-scale data). Yıldız Technical University, Turkey, 2019 - [j2]Yaser Moazzen
, Abdulkerim Çapar
, Abdulkadir Albayrak
, Nurullah Çalik, Behcet Ugur Töreyin
:
Metaphase finding with deep convolutional neural networks. Biomed. Signal Process. Control. 52: 353-361 (2019) - [j1]Nurullah Çalik
, Onur Can Kurban
, Ali Riza Yilmaz
, Tülay Yildirim
, Lütfiye Durak Ata
:
Large-scale offline signature recognition via deep neural networks and feature embedding. Neurocomputing 359: 1-14 (2019) - 2018
- [i1]Abdulkadir Albayrak, Asli Unlu, Nurullah Çalik, Abdulkerim Çapar, Gokhan Bilgin, Behcet Ugur Töreyin, Bahar Muezzinoglu, Ilknur Türkmen, Lutfiye Durak-Ata:
A Whole Slide Image Grading Benchmark and Tissue Classification for Cervical Cancer Precursor Lesions with Inter-Observer Variability. CoRR abs/1812.10256 (2018) - 2017
- [c4]Abdulkadir Albayrak
, Asli Unlu, Nurullah Çalik, Gokhan Bilgin
, Ilknur Türkmen, Asli Çakir, Abdulkerim Çapar
, Behcet Ugur Töreyin
, Lutfiye Durak-Ata
:
Segmentation of precursor lesions in cervical cancer using convolutional neural networks. SIU 2017: 1-4 - [c3]Nurullah Çalik, Onur Can Kurban
, Ali Riza Yilmaz, Lutfiye Durak-Ata
, Tülay Yildirim
:
Signature recognition application based on deep learning. SIU 2017: 1-4 - 2015
- [c2]Nurullah Çalik, Lutfiye Durak-Ata
, Ahmet Serbes
, Bülent Bolat, Emrah Yavuz:
Performance analysis of feature extraction methods in indoor sound classification. SIU 2015: 2025-2028 - 2013
- [c1]Nurullah Çalik, Evren Cesur, Vedat Tavsanoglu:
Handwritten character recognition application by using Cellular Neural Network. SIU 2013: 1-4
Coauthor Index
aka: Lütfiye Durak Ata
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last updated on 2024-08-14 23:14 CEST by the dblp team
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