Isabekov, A., Erzin, E., On the Importance of the Hidden Bias and Hidden Entropy in Representational Efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines. In Neural Networks, Vol. 105, pp. 405-418 (2018), doi: 10.1016/j.neunet.2018.06.002.
Isabekov, A., Belviranlı, S., Baykut, S., Akgül, T., Underwater Ambient Noise Analysis Using Wavelet Transform and Empirical Mode Decomposition Methods. In 8th European Conference on Noise Control, Edinburgh, United
Kingdom, pp. 3783-3790, October 2009, Online Abstract.
Isabekov, A., Baykut, S., Akgül, T., Underwater Ambient Noise Analysis Using Empirical Mode Decomposition
Method. In 2009 IEEE 17th Signal Processing and Communications Applications Conference, Antalya, Turkey, pp.
640-643, April 2009, doi: 10.1109/SIU.2009.5136477.
PhD Dissertation, Koç University, Electrical & Electronics Engineering, March 2018:
"On the Importance of Hidden Bias and Hidden Entropy in Representational Efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines" [PDF].
MSc Thesis, Koç University, Electrical & Computer Engineering, September 2011:
"Adaptive Diffusion LMS Strategies" [PDF].
BSc Thesis, Istanbul Technical University, Telecommuncation Engineering, May 2009,
"Application of the Empirical Mode Decomposition in the Analysis of the Underwater Ambient Noise" [PDF].