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Necaattin Barisçi
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2020 – today
- 2024
- [j18]Emre Akdemir
, Necaattin Barisçi:
A review on deep learning applications with semantics. Expert Syst. Appl. 251: 124029 (2024) - [j17]Abdüssamed Erciyas
A meta-analysis on diabetic retinopathy and deep learning applications. Multim. Tools Appl. 83(19): 57429-57448 (2024) - [j16]Emre Safak, Necaattin Barisçi:
Detection of fake face images using lightweight convolutional neural networks with stacking ensemble learning method. PeerJ Comput. Sci. 10: e2103 (2024) - 2023
- [j15]Sonay Görgülü Balci
Optimization of indoor thermal comfort values with fuzzy logic and genetic algorithm. J. Intell. Fuzzy Syst. 45(2): 2305-2317 (2023) - [j14]Abdüssamed Erciyas
Improving detection and classification of diabetic retinopathy using CUDA and Mask RCNN. Signal Image Video Process. 17(4): 1265-1273 (2023) - 2022
- [j13]Hakan Öcal
A novel prostate segmentation method: triple fusion model with hybrid loss. Neural Comput. Appl. 34(16): 13559-13574 (2022) - [c1]Ali Erbey, Necaattin Barisçi:
Application-based spam detection with machine learning algorithms. IVUS 2022: 26-31 - 2021
- [j12]Abdüssamed Erciyas
An Effective Method for Detecting and Classifying Diabetic Retinopathy Lesions Based on Deep Learning. Comput. Math. Methods Medicine 2021: 9928899:1-9928899:13 (2021) - [j11]Recep Sinan Arslan, Necaattin Barisçi, Nursal Arici, Sabri Koçer:
Detecting and correcting automatic speech recognition errors with a new model. Turkish J. Electr. Eng. Comput. Sci. 29(5): 2298-2311 (2021) - [j10]Fuat Türk, Murat Lüy, Necaattin Barisçi:
Renal Segmentation Using an Improved U-Net3D Model. J. Medical Imaging Health Informatics 11(8): 2258-2266 (2021) - 2020
- [j9]Recep Sinan Arslan, Necaattin Barisçi:
A detailed survey of Turkish automatic speech recognition. Turkish J. Electr. Eng. Comput. Sci. 28(6) (2020) - [j8]Atakan Körez
Weighted Ensemble Object Detection with Optimized Coefficients for Remote Sensing Images. ISPRS Int. J. Geo Inf. 9(6): 370 (2020)
2010 – 2019
- 2019
- [j7]Recep Sinan Arslan, Ibrahim Alper Dogru, Necaattin Barisçi
Permission-Based Malware Detection System for Android Using Machine Learning Techniques. Int. J. Softw. Eng. Knowl. Eng. 29(1): 43-61 (2019) - 2016
- [j6]Zafer Civelek, Murat Lüy
Control of Pitch Angle of Wind Turbine by Fuzzy Pid Controller. Intell. Autom. Soft Comput. 22(3): 463-471 (2016) - 2015
- [j5]Fuat Türk, Necaattin Barisçi
Comparison of Multi Layer Perceptron and Jordan Elman Neural Networks for Diagnosis of Hypertension. Intell. Autom. Soft Comput. 21(1): 123-134 (2015)
2000 – 2009
- 2008
- [j4]Necaattin Barisçi
The Adaptive ARMA Analysis of EMG Signals. J. Medical Syst. 32(1): 43-50 (2008) - 2007
- [j3]Necaattin Barisçi
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) - 2005
- [b1]Necaattin Barisçi:
Kardiyak doppler işaretlerinin yapay sinir ağı ve NEFCLASS ile sınıflandırılması (Classification of cardiac doppler signals by using artificial neural network and NEFCLASS). Gazi University, Turkey, 2005 - 2004
- [j2]Inan Güler
Classification of aorta doppler signals using variable coded-hierarchical genetic fuzzy system. Expert Syst. Appl. 26(3): 321-333 (2004) - 2002
- [j1]Inan Güler
Application of FFT analyzed cardiac Doppler signals to fuzzy algorithm. Comput. Biol. Medicine 32(6): 435-444 (2002)
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last updated on 2024-10-07 22:24 CEST by the dblp team
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