| Neural network based cryptography A Yayık, Y Kutlu Neural Network World 2 (14), 177-192, 2014 | 35* | 2014 |
| Deep learning with ConvNet predicts imagery tasks through EEG G Altan, A Yayık, Y Kutlu Neural Processing Letters 53 (4), 2917-2932, 2021 | 31* | 2021 |
| Hessenberg Elm autoencoder kernel for deep learning G ALTAN, YA KUTLU, Yakup Journal of Engineering Technology and Applied Sciences 3 (2), 141-151, 2018 | 25 | 2018 |
| Regularized HessELM and inclined entropy measurement for congestive heart failure prediction A Yayık, Y Kutlu, G Altan arXiv preprint arXiv:1907.05888, 2019 | 24 | 2019 |
| Epileptic state detection: Pre-ictal, inter-ictal, ictal A Yayık, E Yıldırım, Y Kutlu, S Yıldırım | 19 | 2015 |
| LU triangularization extreme learning machine in EEG cognitive task classification Y Kutlu, A Yayık, E Yildirim, S Yildirim Neural Computing and Applications 31, 1117-1126, 2019 | 17 | 2019 |
| Improving pseudo random number generator using artificial neural networks A Yayık, Y Kutlu Sinyal İsleme ve İletisim Uygulamaları (SIU) Kurultayı (SIU2013), 2013 | 12 | 2013 |
| Analyse of congestive heart failure using Hilbert-Huang transform G Altan, A Yayik, Y Kutlu, S Yildirim, E Yildirim Dokuz Eylul University Engineering Sciences 16, 94-103, 2014 | 10* | 2014 |
| Orthogonal extreme learning machine based P300 visual event-related BCI Y Kutlu, A Yayik, E Yildirim, S Yildirim International Conference on Neural Information Processing, 284-291, 2015 | 9 | 2015 |
| Diagnosis of congestive heart failure using poincare map plot A Yayik, Y Kutlu 2012 20th Signal Processing and Communications Applications Conference (SIU …, 2012 | 6 | 2012 |
| Deep Learning-Aided Automated Personal Data Discovery and Profiling A YAYIK, V AYBAR, H APİK, S İÇÖZ, B BAKAR, T GÜNGÖR TUBITAK Journal of Electronics and Computer Science, 2021 | 4 | 2021 |
| Yapay Sinir Ağları ile Kriptoloji Uygulamaları A Yayık Mustafa Kemal Üniversitesi Fen Bilimleri Enstitüsü, 2013 | 4 | 2013 |
| Enhancing Extreme Learning Machine: Novel Extensions and Applications to Optimizing Visual Stimuli for Brain Computer Interface A Yayık Mustafa Kemal University, Graduate School and Applied Sciences, Department …, 2017 | 3 | 2017 |
| Online LDA based brain-computer interface system to aid disabled people A Yayık, Y Kutlu Natural and Engineering Sciences 2 (2), 37-49, 2017 | 3 | 2017 |
| Topographic analysis and diagnosis of congestive heart failure using second-order difference plot A Yayik, Y Kutlu Signal Processing and Communications Applications Conference (SIU2014), 540-543, 2014 | 3 | 2014 |
| Turkish Rule-Based Official Document Type Detection B BAKAR, F AKSOY, A YAYIK, S IÇÖZ, V AYBAR, T GÜNGÖR IEEE Signal Processing and Applications, 2020 | 2 | 2020 |
| Neural network approach for secure hash-based color image authentication and analysis Y Kutlu, A Yayik Int. J. Sci. Technol. Res., 2015 | 2 | 2015 |
| Deep Learning Based Topic Classification for Sensitivity Assignment to Personal Data A Yayık, H Apik, A Tosun, E Ozdemir | 1 | 2021 |
| Epileptic State Detection: Pre-ictal, Ictal, Inter-ictal A YAYIK, Y KUTLU, S YILDIRIM, E YILDIRIM | 1 | |
| Optimized visual stimuli for BCI with hessenberg decomposition based extreme learning machine A Yayık, Y Kutlu, G Altan bioRxiv, 700898, 2019 | | 2019 |
Yakup KutluComputer Engineering, Faculty of Electrical Electronics, Iskenderun Technical UniversityVerified email at iste.edu.tr
