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ORCIDFirat Hardalaç
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2020 – today
- 2024
[j29]Ismail Biri, Ülkü Tuncer Küçüktas, Fatih Uysal, Firat Hardalaç:
Forecasting the future popularity of the anti-vax narrative on Twitter with machine learning. J. Supercomput. 80(3): 2917-2947 (2024)- [c4]Ülkü Tuncer Küçüktas, Fatih Uysal, Firat Hardalaç:
Selecting Augmentation Methods for Domain Generalization and Out-of-Distribution Detection Using Unlabeled Data. SIU 2024: 1-4 - 2023
- [c3]Erdem Yanar, Firat Hardalaç:
Clinical Decision Support for Early Diagnosis of Cardiomegaly by Using Deep Learning Techniques on Chest X-rays. CinC 2023: 1-4 - 2022
- [j28]Firat Hardalaç, Fatih Uysal
, Ozan Peker, Murat Çiçeklidag, Tolga Tolunay, Nil Tokgöz, Ugurhan Kutbay, Boran Demirciler, Fatih Mert:
Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models. Sensors 22(3): 1285 (2022) - [j27]Ugurhan Kutbay, Firat Hardalaç, Pinar Özisik, Emre Ünay, Cenk Yildirim:
A Novel Real-Time Clip Force Measurement Device Design for Cerebral Aneurysm Surgeries. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [i3]Ülkü Tuncer Küçüktas, Fatih Uysal, Firat Hardalaç, Ismail Biri:
Detection of Increased Time Intervals of Anti-Vaccine Tweets for COVID-19 Vaccine with BERT Model. CoRR abs/2202.00477 (2022) - 2021
- [j26]Firat Hardalaç, Mustafa Aydin, Ugurhan Kutbay, Kubilay Ayturan, Anil Akyel, Atika Çaglar, Bo Hai, Fatih Mert:
Classification of neonatal jaundice in mobile application with noninvasive image processing methods. Turkish J. Electr. Eng. Comput. Sci. 29(4): 2116-2126 (2021) - [j25]Ali Can Kara, Firat Hardalaç:
Detection and Classification of Knee Injuries from MR Images Using the MRNet Dataset with Progressively Operating Deep Learning Methods. Mach. Learn. Knowl. Extr. 3(4): 1009-1029 (2021) - [i2]Fatih Uysal, Firat Hardalaç, Ozan Peker, Tolga Tolunay, Nil Tokgöz:
Classification of Fracture and Normal Shoulder Bone X-Ray Images Using Ensemble and Transfer Learning With Deep Learning Models Based on Convolutional Neural Networks. CoRR abs/2102.00515 (2021) - [i1]Firat Hardalaç, Fatih Uysal, Ozan Peker, Murat Çiçeklidag, Tolga Tolunay, Nil Tokgöz, Ugurhan Kutbay, Boran Demirciler, Fatih Mert:
Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models. CoRR abs/2111.07355 (2021) - 2020
- [j24]Berkan Ural, Pinar Özisik, Firat Hardalaç:
An improved computer based diagnosis system for early detection of abnormal lesions in the brain tissues with using magnetic resonance and computerized tomography images. Multim. Tools Appl. 79(21-22): 15613-15634 (2020) - [j23]Firat Hardalaç, Hüseyin Yasar, Anil Akyel, Ugurhan Kutbay:
A novel comparative study using multi-resolution transforms and convolutional neural network (CNN) for contactless palm print verification and identification. Multim. Tools Appl. 79(31-32): 22929-22963 (2020)
2010 – 2019
- 2018
- [j22]Firat Hardalaç, Ugurhan Kutbay, Isa Sahin, Anil Akyel:
A novel method for robust object tracking with K-means clustering using histogram back-projection technique. Multim. Tools Appl. 77(18): 24059-24072 (2018) - 2017
- [j21]Ugurhan Kutbay, Firat Hardalaç:
Development of a multiprobe electrical resistivity tomography prototype system and robust underground clustering. Expert Syst. J. Knowl. Eng. 34(3) (2017) - [c2]Pinar Delul Celen, Firat Hardalaç:
Speech record speed up with machine learning technics. SIU 2017: 1-4 - 2016
- [j20]Berkan Ural, Firat Hardalaç, Selami Serhatlioglu, Mustafa Necmi Ilhan:
Gastric Cancer Regional Detection System. J. Medical Syst. 40(1): 31:1-31:9 (2016) - [j19]Ugurhan Kutbay, Firat Hardalaç, Mehmet Akbulut, Ünsal Akaslan, Selami Serhatlioglu:
A Computer-Aided Diagnosis System for Measuring Carotid Artery Intima-Media Thickness (IMT) Using Quaternion Vectors. J. Medical Syst. 40(6): 149:1-149:12 (2016) - [j18]Mustafa Aydin, Firat Hardalaç, Berkan Ural, Serhat Karap:
Neonatal Jaundice Detection System. J. Medical Syst. 40(7): 166:1-166:11 (2016) - [j17]Javad Rahebi, Firat Hardalaç:
A new approach to optic disc detection in human retinal images using the firefly algorithm. Medical Biol. Eng. Comput. 54(2-3): 453-461 (2016) - 2015
- [j16]Selami Serhatlioglu, Firat Hardalaç, Ugurhan Kutbay, Özgür Kocaöz:
Analyses of a Cirrhotic Patient's Evolution Using Self Organizing Mapping and Child-Pugh Scoring. J. Medical Syst. 39(2): 17 (2015) - [c1]Ugurhan Kutbay, Ali Berkan Ural, Firat Hardalaç:
Underground electrical profile clustering using K-MEANS algorithm. SIU 2015: 561-564 - 2014
- [j15]Javad Rahebi, Firat Hardalaç:
Retinal Blood Vessel Segmentation with Neural Network by Using Gray-Level Co-Occurrence Matrix-Based Features. J. Medical Syst. 38(8): 85 (2014) - 2012
- [j14]Akbar Alipour, Firat Hardalaç:
Application of genetic algorithms in fuzzy wavelet neural network for fetal electrocardiogram extraction. Int. J. Medical Eng. Informatics 4(2): 176-183 (2012)
2000 – 2009
- 2009
- [j13]Firat Hardalaç:
Classification of educational backgrounds of students using musical intelligence and perception with the help of genetic neural networks. Expert Syst. Appl. 36(3): 6708-6713 (2009) - 2008
- [j12]Firat Hardalaç, Göknur Güler:
Examination of static and 50 Hz electric field effects on tissues by using a hybrid genetic algorithm and neural network. Expert Syst. J. Knowl. Eng. 25(4): 349-366 (2008) - [j11]Ali Öztürk, Ahmet Arslan, Firat Hardalaç:
Comparison of neuro-fuzzy systems for classification of transcranial Doppler signals with their chaotic invariant measures. Expert Syst. Appl. 34(2): 1044-1055 (2008) - [j10]Firat Hardalaç:
Comparison of MLP Neural Network and Neuro-fuzzy System in Transcranial Doppler Signals Recorded from the Cerebral Vessels. J. Medical Syst. 32(2): 137-145 (2008) - [j9]Göknur Güler, Firat Hardalaç, Aysel Aricioglu:
Examination of Electric Field Effects on Tissues by Using Back Propagation Neural Network. J. Medical Syst. 32(6): 521-522 (2008) - 2007
- [j8]Firat Hardalaç, Hanefi Yildirim, Selami Serhatlioglu:
Determination of carotid disease with the application of STFT and CWT methods. Comput. Biol. Medicine 37(6): 785-792 (2007) - [j7]Necaattin Barisçi, Firat Hardalaç:
Application of an adaptive neuro-fuzzy inference system for classification of Behcet disease using the fast Fourier transform method. Expert Syst. J. Knowl. Eng. 24(2): 123-130 (2007) - 2004
- [j6]Uçman Ergün, Selami Serhatlioglu, Firat Hardalaç, Inan Güler:
Classification of carotid artery stenosis of patients with diabetes by neural network and logistic regression. Comput. Biol. Medicine 34(5): 389-405 (2004) - [j5]Inan Güler, Firat Hardalaç, Uçman Ergün, Necaattin Barisçi:
Classification of aorta doppler signals using variable coded-hierarchical genetic fuzzy system. Expert Syst. Appl. 26(3): 321-333 (2004) - 2002
- [j4]Inan Güler, Firat Hardalaç, Elif Derya Übeyli:
Determination of Behcet disease with the application of FFT and AR methods. Comput. Biol. Medicine 32(6): 419-434 (2002) - [j3]Inan Güler, Firat Hardalaç, Necaattin Barisçi:
Application of FFT analyzed cardiac Doppler signals to fuzzy algorithm. Comput. Biol. Medicine 32(6): 435-444 (2002) - [j2]Inan Güler, Firat Hardalaç, Memduh Kaymaz:
Comparison of FFT and adaptive ARMA methods in transcranial Doppler signals recorded from the cerebral vessels. Comput. Biol. Medicine 32(6): 445-453 (2002) - 2001
- [j1]Inan Güler, Firat Hardalaç, Serdar Müldür:
Determination of aorta failure with the application of FFT, AR and wavelet methods to Doppler technique. Comput. Biol. Medicine 31(4): 229-238 (2001)
Coauthor Index
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