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Tülay Yildirim
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2020 – today
- 2024
- [j27]Furkan Hasan Sakaci, Tülay Yildirim:
Conducted Emission signal-based identification and real-time hardware security with deep learning. Eng. Appl. Artif. Intell. 136: 109025 (2024) - [j26]Onur Can Kurban, Tülay Yildirim:
A comparative analysis of multi-biometrics performance in human and action recognition using silhouette thermal-face and skeletal data. Neural Networks 170: 1-17 (2024) - [e5]Costin Badica, Mirjana Ivanovic, Petia D. Koprinkova-Hristova, Florin Leon, Yannis Manolopoulos, Tülay Yildirim, Aysegül Uçar:
International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2024, Craiova, Romania, September 4-6, 2024. IEEE 2024, ISBN 979-8-3503-6813-0 [contents] - [i1]Ashutosh Singh, Tulay Yildirim, Om Prakash:
Double skew cyclic codes over Fq+vFq. CoRR abs/2403.16833 (2024) - 2023
- [j25]Hatice Vildan Dudukcu, Murat Taskiran, Zehra Gülru Çam Taskiran, Tulay Yildirim:
Temporal Convolutional Networks with RNN approach for chaotic time series prediction. Appl. Soft Comput. 133: 109945 (2023) - [e4]Tulay Yildirim, Richard Chbeir, Ladjel Bellatreche, Costin Badica:
International Conference on Innovations in Intelligent Systems and Applications, INISTA 2023, Hammamet, Tunisia, September 20-23, 2023. IEEE 2023, ISBN 979-8-3503-3890-4 [contents] - 2022
- [j24]Tulay Yildirim, Mirjana Ivanovic, Ladjel Bellatreche:
Advances on innovative issues in intelligent systems and applications. Concurr. Comput. Pract. Exp. 34(14) (2022) - [j23]Onur Can Kurban, Nurullah Çalik, Tülay Yildirim:
Human and action recognition using adaptive energy images. Pattern Recognit. 127: 108621 (2022) - [e3]Richard Chbeir, Tulay Yildirim, Ladjel Bellatreche, Yannis Manolopoulos, Apostolos Papadopoulos:
International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2022, Biarritz, France, August 8-12, 2022. IEEE 2022, ISBN 978-1-6654-9810-4 [contents] - 2021
- [j22]Zahraa A. Al-Saffar, Tülay Yildirim:
A hybrid approach based on multiple Eigenvalues selection (MES) for the automated grading of a brain tumor using MRI. Comput. Methods Programs Biomed. 201: 105945 (2021) - [j21]Dilara Gumusbas, Tulay Yildirim, Angelo Genovese, Fabio Scotti:
A Comprehensive Survey of Databases and Deep Learning Methods for Cybersecurity and Intrusion Detection Systems. IEEE Syst. J. 15(2): 1717-1731 (2021) - [c43]Hatice Vildan Dudukcu, Murat Taskiran, Tülay Yildirim:
Consolidated or individual training: Which one is better for blood glucose prediction? INISTA 2021: 1-6 - 2020
- [j20]Zahraa A. Al-Saffar, Tülay Yildirim:
A Novel Approach to Improving Brain Image Classification Using Mutual Information-Accelerated Singular Value Decomposition. IEEE Access 8: 52575-52587 (2020) - [c42]Ibrahim Karsu, Tülay Yildirim:
Split Feature Model For Adversarial Condition. INISTA 2020: 1-7 - [c41]Zümrüt Müftüoglu, Merve Ayyüce Kizrak, Tülay Yildirim:
Differential Privacy Practice on Diagnosis of COVID-19 Radiology Imaging Using EfficientNet. INISTA 2020: 1-6 - [e2]Mirjana Ivanovic, Tulay Yildirim, Goce Trajcevski, Costin Badica, Ladjel Bellatreche, Igor V. Kotenko, Amelia Badica, Burcu Erkmen, Milos Savic:
International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2020, Novi Sad, Serbia, August 24-26, 2020. IEEE 2020, ISBN 978-1-7281-6799-2 [contents]
2010 – 2019
- 2019
- [j19]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) - [c40]Zeynep Gülhan Uslu, Tülay Yildirim:
Improving Turkish Telephone Speech Recognition with Data Augmentation and Out of Domain Data. SSD 2019: 176-179 - [c39]Dilara Gumusbas, Tulay Yildirim:
Offline Signature Identification and Verification Using Capsule Network. INISTA 2019: 1-5 - [c38]Onur Can Koyun, Tülay Yildirim:
Adversarial Nuclei Segmentation on H&E Stained Histopathology Images. INISTA 2019: 1-5 - [c37]Dilara Gumusbas, Tulay Yildirim, Mustafa Kocakulak, Nurettin Acir:
Capsule Network for Finger-Vein-based Biometric Identification. SSCI 2019: 437-441 - 2018
- [j18]Ireneusz Czarnowski, Piotr Jedrzejowicz, Kuo-Ming Chao, Tülay Yildirim:
Overcoming "Big Data" Barriers in Machine Learning Techniques for the Real-Life Applications. Complex. 2018: 1234390:1-1234390:3 (2018) - [c36]Doga Akcinar, Mustafa Kemal Ariturk, Tülay Yildirim:
Speaker Dependent Voice Controlled Robotic Arm. INISTA 2018: 1-5 - [c35]Zahraa A. Al-Saffar, Tülay Yildirim:
An Optimized Clustering Approach for Tumor Segmentation Using Local Difference of Intensity Level in MR Brain Images. INISTA 2018: 1-8 - [c34]Tugberk Demir, Ugur Mutlu, Tülay Yildirim:
Motion-Controlled Virtual Reality Robotic Arm With Kinect. INISTA 2018: 1-5 - [c33]Fuat Beser, Merve Ayyuce Kizrak, Bülent Bolat, Tulay Yildirim:
Recognition of sign language using capsule networks. SIU 2018: 1-4 - 2017
- [j17]Tülay Yildirim, Giancarlo Fortino:
Special issue on artificial intelligence in modeling and simulation. Simul. 93(9): 725-726 (2017) - [j16]Ahmet Yasin Erdogan, Taylan O. Gulum, Lutfiye Durak-Ata, Tulay Yildirim, Phillip E. Pace:
FMCW Signal Detection and Parameter Extraction by Cross Wigner-Hough Transform. IEEE Trans. Aerosp. Electron. Syst. 53(1): 334-344 (2017) - [j15]Taylan O. Gulum, Ahmet Yasin Erdogan, Lutfiye Durak-Ata, Tulay Yildirim, Phillip E. Pace:
Enhanced LPI Waveform Representation by Ambiguity-Domain Elliptical Gaussian Filtering. IEEE Trans. Aerosp. Electron. Syst. 53(2): 762-777 (2017) - [c32]Piotr Jedrzejowicz, Tulay Yildirim, Ireneusz Czarnowski:
Preface. INISTA 2017: 1 - [c31]Onur Can Kurban, Tulay Yildirim, Ahmet Bilgic:
A multi-biometric recognition system based on deep features of face and gesture energy image. INISTA 2017: 361-364 - [c30]Ahmet Bilgic, Onur Can Kurban, Tülay Yildirim:
Face recognition classifier based on dimension reduction in deep learning properties. SIU 2017: 1-4 - [c29]Nurullah Çalik, Onur Can Kurban, Ali Riza Yilmaz, Lutfiye Durak-Ata, Tülay Yildirim:
Signature recognition application based on deep learning. SIU 2017: 1-4 - [e1]Piotr Jedrzejowicz, Tülay Yildirim, Ireneusz Czarnowski:
IEEE International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2017, Gdynia, Poland, July 3-5, 2017. IEEE 2017, ISBN 978-1-5090-5795-5 [contents] - 2016
- [c28]Onur Can Kurban, Ozden Niyaz, Tulay Yildirim:
Neural network based wrist vein identification using ordinary camera. INISTA 2016: 1-4 - [c27]Kani K. Guner, Burcu Erkmen, Taylan O. Gulum, Ahmet Yasin Erdogan, Tülay Yildirim, Lutfiye Durak-Ata:
Implementation aspects of Wigner-Hough Transform based detectors for LFMCW signals. TSP 2016: 441-444 - 2015
- [c26]Kani K. Guner, Burcu Erkmen, Taylan O. Gulum, Ahmet Yasin Erdogan, Tulay Yildirim, Lutfiye Durak-Ata:
Improving Wigner-Hough Transform for hardware implementation to intercept LFMCW signals. SIU 2015: 1256-1259 - 2014
- [c25]Onur Can Kurban, Tulay Yildirim:
Neural network based daily activity recognition without feature extraction. SIU 2014: 567-570 - [c24]Ahmet Yasin Erdogan, Taylan O. Gulum, Lutfiye Durak-Ata, Tulay Yildirim:
Digital chirp rate adaptation for optimum FMCW interception using Wigner-Hough transform. SIU 2014: 1179-1182 - [c23]Sinem Uysal, Husamettin Uysal, Bülent Bolat, Tulay Yildirim:
Classification of normal and abnormal lung sounds using wavelet coefficients. SIU 2014: 2138-2141 - 2013
- [j14]Burcu Erkmen, Revna Acar Vural, Nihan Kahraman, Tülay Yildirim:
A Mixed Mode Neural Network Circuitry for Object Recognition Application. Circuits Syst. Signal Process. 32(1): 29-46 (2013) - [c22]Ahmet Yasin Erdogan, Taylan O. Gulum, Lutfiye Durak-Ata, Tulay Yildirim, Phillip E. Pace:
Defining the effective threshold using modified wigner-hough transform in FMCW-signal detection. SIU 2013: 1-4 - [c21]Onur Can Kurban, Tulay Yildirim, Emrah Basaran:
Neural network based footprint identification without feature extraction. SIU 2013: 1-4 - 2012
- [j13]Revna Acar Vural, Tülay Yildirim, Tevfik Kadioglu, Aysen Basargan:
Performance Evaluation of Evolutionary Algorithms for Optimal Filter Design. IEEE Trans. Evol. Comput. 16(1): 135-147 (2012) - [c20]Taylan Ozgur Gulum, Ahmet Yasin Erdogan, Tulay Yildirim:
An edge detection technique using hybrid Ant Colony Optimization-genetic algorithm. SIU 2012: 1-4 - 2011
- [j12]Revna Acar Vural, Ozan Der, Tülay Yildirim:
Investigation of particle swarm optimization for switching characterization of inverter design. Expert Syst. Appl. 38(5): 5696-5703 (2011) - [j11]Gökhan Bilgin, Sarp Ertürk, Tülay Yildirim:
Segmentation of Hyperspectral Images via Subtractive Clustering and Cluster Validation Using One-Class Support Vector Machines. IEEE Trans. Geosci. Remote. Sens. 49(8): 2936-2944 (2011) - 2010
- [j10]Övünç Polat, Tülay Yildirim:
FPGA implementation of a General Regression Neural Network: An embedded pattern classification system. Digit. Signal Process. 20(3): 881-886 (2010) - [j9]Revna Acar Vural, Ozan Der, Tülay Yildirim:
Particle swarm optimization based inverter design considering transient performance. Digit. Signal Process. 20(4): 1215-1220 (2010) - [j8]Canan Senol, Tülay Yildirim:
Fuzzy-neural networks for medical diagnosis. Int. J. Reason. based Intell. Syst. 2(3/4): 265-271 (2010) - [j7]Burcu Erkmen, Nihan Kahraman, Revna Acar Vural, Tülay Yildirim:
Conic section function neural network circuitry for offline signature recognition. IEEE Trans. Neural Networks 21(4): 667-672 (2010) - [c19]Hasan Seckin Efendioglu, Tulay Yildirim, Kemal M. Fidanboylu:
Use of Artificial Neural Networks for improving fiber optic microbend sensor performance. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [j6]Nihan Kahraman, Tülay Yildirim:
Technology independent circuit sizing for standard cell based design using neural networks. Digit. Signal Process. 19(4): 708-714 (2009) - [j5]Hasan Seckin Efendioglu, Tulay Yildirim, Kemal M. Fidanboylu:
Prediction of Force Measurements of a Microbend Sensor Based on an Artificial Neural Network. Sensors 9(9): 7167-7176 (2009) - 2008
- [j4]Övünç Polat, Tülay Yildirim:
Hand geometry identification without feature extraction by general regression neural network. Expert Syst. Appl. 34(2): 845-849 (2008) - [j3]Övünç Polat, Tülay Yildirim:
Genetic optimization of GRNN for pattern recognition without feature extraction. Expert Syst. Appl. 34(4): 2444-2448 (2008) - [j2]Burcu Erkmen, Tülay Yildirim:
Improving classification performance of sonar targets by applying general regression neural network with PCA. Expert Syst. Appl. 35(1-2): 472-475 (2008) - [j1]Gökhan Bilgin, Sarp Ertürk, Tülay Yildirim:
Unsupervised classification of hyperspectral-image data using fuzzy approaches that spatially exploit membership relations. IEEE Geosci. Remote. Sens. Lett. 5(4): 673-677 (2008) - 2007
- [c18]Burcu Erkmen, Tulay Yildirim:
Obtaining decision boundaries of CSFNN neurons using current mode analog circuitry. ECCTD 2007: 807-810 - [c17]Övünç Polat, Tülay Yildirim:
Recognition of Patterns Without Feature Extraction by GRNN. ICANNGA (2) 2007: 161-168 - [c16]Burcu Erkmen, Tülay Yildirim:
CSFNN Synapse and Neuron Design Using Current Mode Analog Circuitry. KES (1) 2007: 17-25 - 2006
- [c15]Fikret Tokan, Nurhan Türker, Tülay Yildirim:
ROC Analysis as a Useful Tool for Performance Evaluation of Artificial Neural Networks. ICANN (2) 2006: 923-931 - [c14]Mutlu Avci, Tülay Yildirim:
Neural Network Based MOS Transistor Geometry Decision for TSMC 0.18µ Process Technology. International Conference on Computational Science (4) 2006: 615-622 - [c13]Revna Acar Vural, Lale Özyilmaz, Tülay Yildirim:
A Comparative Study on Computerised Diagnostic Performance of Hepatitis Disease Using ANNs. ICIC (2) 2006: 1177-1182 - [c12]Gül Yazici, Övünç Polat, Tülay Yildirim:
Genetic Optimizations for Radial Basis Function and General Regression Neural Networks. MICAI 2006: 348-356 - 2005
- [c11]Bülent Bolat, Tülay Yildirim:
Active Learning for Probabilistic Neural Networks. ICNC (1) 2005: 110-118 - [c10]Canan Senol, Tülay Yildirim:
Signature Verification Using Conic Section Function Neural Network. ISCIS 2005: 524-532 - 2004
- [c9]Lale Özyilmaz, Tülay Yildirim:
ROC Analysis for Fetal Hypoxia Problem by Artificial Neural Networks. ICAISC 2004: 1026-1030 - 2003
- [c8]Serdal Terzi, Mehmet Saltan, Tülay Yildirim:
Optimization of the Deflection Basin by Genetic Algorithm and Neural Network Approach. ICANN 2003: 662-669 - [c7]Mutlu Avci, Tülay Yildirim:
A coding method for 123 decision diagram pass transistor logic circuit synthesis. ISCAS (5) 2003: 189-192 - 2000
- [c6]Lale Özyilmaz, Tülay Yildirim:
Sensitivity Analysis for Conic Section Function Neural Networks. IJCNN (4) 2000: 244-252
1990 – 1999
- 1999
- [c5]Lale Özyilmaz, Tulay Yildirim, Huseyin Seker:
EMG signal classification using conic section function neural networks. IJCNN 1999: 3601-3603 - [c4]Tulay Yildirim, Hamid Torpi, Lale Özyilmaz:
Modelling of active microwave transistors using artificial neural networks. IJCNN 1999: 3988-3991 - 1997
- [c3]Tülay Yildirim, John S. Marsland:
Improved backpropagation training algorithm using conic section functions. ICNN 1997: 1078-1081 - [c2]Tülay Yildirim, John S. Marsland:
A unified framework for connectionist models. NCPW 1997: 26-39 - 1996
- [c1]Tülay Yildirim, John S. Marsland:
A conic section function network synapse and neuron implementation in VLSI hardware. ICNN 1996: 974-979
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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