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Nurettin Acir
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2020 – today
- 2023
- [j21]Mustafa Kocakulak, Adem Avci, Nurettin Acir:
Automated vein verification using self-attention-based convolutional neural networks. Expert Syst. Appl. 230: 120550 (2023) - [j20]Engin Cemal Mengüç, Nurettin Acir, Danilo P. Mandic:
A Class of Online Censoring Based Quaternion-Valued Least Mean Square Algorithms. IEEE Signal Process. Lett. 30: 244-248 (2023) - 2022
- [c18]Mustafa Kocakulak, Nurettin Acir:
Dynamic ROI Extraction for Palmprints using MediaPipe Hands. SIU 2022: 1-4 - 2021
- [c17]Mustafa Alper Balim, Cemal Hanilçi, Nurettin Acir:
Motor Imagery Signal Classification Using Constant-Q Transform for BCI Applications. EUSIPCO 2021: 1306-1310 - 2020
- [j19]Engin Cemal Mengüç, Nurettin Acir, Danilo P. Mandic:
Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm. IEEE Trans. Signal Process. 68: 5914-5922 (2020) - [c16]Adem Avci, Nurettin Acir:
Remaining Useful Life Estimation With Parallel Convolutional Neural Networks On Predictive Maintenance Applications. SIU 2020: 1-4 - [c15]Mustafa Alper Balim, Nurettin Acir:
Classification of Motor Imaginary Signals Using Stacked Autoencoders. SIU 2020: 1-4
2010 – 2019
- 2019
- [c14]Adem Avci, Nurettin Acir:
Quality Determination by Using Support Vector Machine in Gas Welding Applications. SIU 2019: 1-4 - [c13]Mustafa Alper Balim, Nurettin Acir:
Classification of Motor Imagery Signals by Convolutional Neural Network for BCI Applications. SIU 2019: 1-4 - [c12]Dilara Gumusbas, Tulay Yildirim, Mustafa Kocakulak, Nurettin Acir:
Capsule Network for Finger-Vein-based Biometric Identification. SSCI 2019: 437-441 - 2018
- [j18]Engin Cemal Menguc, Nurettin Acir:
Kurtosis-Based CRTRL Algorithms for Fully Connected Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6123-6131 (2018) - [j17]Engin Cemal Menguc, Nurettin Acir:
An Augmented Complex-Valued Least-Mean Kurtosis Algorithm for the Filtering of Noncircular Signals. IEEE Trans. Signal Process. 66(2): 438-448 (2018) - [c11]Mustafa Kocakulak, Nurettin Acir:
Enhancement of finger vein images using Gabor filter. SIU 2018: 1-4 - [c10]Mehmet Muzaffer Kosten, Murat Barut, Nurettin Acir:
Deep neural network training with iPSO algorithm. SIU 2018: 1-4 - 2017
- [j16]Salim Çinar, Nurettin Acir:
A novel system for automatic removal of ocular artefacts in EEG by using outlier detection methods and independent component analysis. Expert Syst. Appl. 68: 36-44 (2017) - [j15]Engin Cemal Mengüç, Nurettin Acir:
An augmented complex-valued Lyapunov stability theory based adaptive filter algorithm. Signal Process. 137: 10-21 (2017) - [j14]Engin Cemal Mengüç, Nurettin Acir:
A generalized Lyapunov stability theory-based adaptive FIR filter algorithm with variable step sizes. Signal Image Video Process. 11(8): 1567-1575 (2017) - [c9]Engin Cemal Menguc, Nurettin Acir:
Prediction of complex-valued signals by using complex-valued LMK algorithm. SIU 2017: 1-4 - 2016
- [j13]Engin Cemal Mengüç, Nurettin Acir:
Real-Time Implementation of Lyapunov Stability Theory-Based Adaptive Filter on FPGA. IEICE Trans. Electron. 99-C(1): 129-137 (2016) - [c8]Engin Cemal Menguc, Nurettin Acir:
Complex-valued least mean Kurtosis adaptive filter algorithm. SIU 2016: 325-328 - 2015
- [c7]Engin Cemal Menguc, Nurettin Acir:
A new approach to channel equalization problem. SIU 2015: 787-790 - 2014
- [c6]Engin Cemal Menguc, Nurettin Acir:
Lyapunov stability theory based complex valued adaptive filter design. SIU 2014: 240-243 - [c5]Engin Cemal Menguc, Nurettin Acir:
A Modified Neural Filtering Algorithm for Tracking of Chaotic Signals. UKSim 2014: 265-268 - 2013
- [j12]Nurettin Acir, Yasemin Erkan, Yemen Alev Bahtiyar:
Auditory brainstem response classification for threshold detection using estimated evoked potential data: comparison with ensemble averaged data. Neural Comput. Appl. 22(5): 859-867 (2013) - [j11]Nurettin Acir:
Estimation of brainstem auditory evoked potentials using a nonlinear adaptive filtering algorithm. Neural Comput. Appl. 22(6): 1201-1209 (2013) - [c4]Nurettin Acir, Engin Cemal Menguc:
A new approach to adaptive noise cancellation in synthetic auditory evoked potentials. BIBE 2013: 1-3 - [c3]Engin Cemal Menguc, Nurettin Acir:
Lyapunov Stability Theory Based Adaptive Filter Algorithm for Noisy Measurements. UKSim 2013: 451-454 - 2012
- [c2]Engin Cemal Menguc, Nurettin Acir:
A novel nonlinear adaptive filter design and its implementation with FPGA. SIU 2012: 1-4
2000 – 2009
- 2008
- [j10]Nurettin Acir:
A modified adaptive IIR filter design via wavelet networks based on Lyapunov stability theory. Neural Comput. Appl. 17(5-6): 463-469 (2008) - 2006
- [j9]Nurettin Acir, Özcan Özdamar, Cüneyt Güzelis:
Automatic classification of auditory brainstem responses using SVM-based feature selection algorithm for threshold detection. Eng. Appl. Artif. Intell. 19(2): 209-218 (2006) - [j8]Nurettin Acir:
A support vector machine classifier algorithm based on a perturbation method and its application to ECG beat recognition systems. Expert Syst. Appl. 31(1): 150-158 (2006) - [j7]Nurettin Acir:
A modified hybrid neural network for pattern recognition and its application to SSW complex in EEG. Neural Comput. Appl. 15(1): 49-54 (2006) - 2005
- [j6]Nurettin Acir:
Automated system for detection of epileptiform patterns in EEG by using a modified RBFN classifier. Expert Syst. Appl. 29(2): 455-462 (2005) - [j5]Nurettin Acir, Cüneyt Güzelis:
Automatic recognition of sleep spindles in EEG via radial basis support vector machine based on a modified feature selection algorithm. Neural Comput. Appl. 14(1): 56-65 (2005) - [j4]Nurettin Acir:
Classification of ECG beats by using a fast least square support vector machines with a dynamic programming feature selection algorithm. Neural Comput. Appl. 14(4): 299-309 (2005) - [j3]Nurettin Acir, Ibrahim Öztura, Mehmet Kuntalp, Baris Baklan, Cüneyt Güzelis:
Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks. IEEE Trans. Biomed. Eng. 52(1): 30-40 (2005) - 2004
- [j2]Nurettin Acir, Cüneyt Güzelis:
Automatic spike detection in EEG by a two-stage procedure based on support vector machines. Comput. Biol. Medicine 34(7): 561-575 (2004) - [j1]Nurettin Acir, Cüneyt Güzelis:
Automatic recognition of sleep spindles in EEG by using artificial neural networks. Expert Syst. Appl. 27(3): 451-458 (2004) - [c1]Nurettin Acir, Cüneyt Güzelis:
An Application of Support Vector Machine in Bioinformatics: Automated Recognition of Epileptiform Patterns in EEG Using SVM Classifier Designed by a Perturbation Method. ADVIS 2004: 462-471
Coauthor Index
aka: Engin Cemal Mengüç
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