A. Çetin

发表

A Complexity-Reduced ML Parametric Signal Reconstruction Method

A. Enis Çetin, Kemal Leblebicioglu, Orhan Arikan, 2011, EURASIP J. Adv. Signal Process..

Signal recovery from partial fractional Fourier domain information and its applications

Billur Barshan, Haldun M. Ozaktas, H. Ozaktas, 2008 .

Bandwidth Selection for Kernel Density Estimation Using Total Variation with Fourier Domain Constraints

O. Arikan, A. Çetin, Alexander Suhre, 2013 .

BCrossterm-free Time-Frequency Distribution Reconstruction via Lifted Projectionsim

Zeynel Deprem, A. Çetin, 2022 .

A Complexity-ReducedML Parametric Signal

K. Leblebicioglu, O. Arikan, A. Çetin, 2011 .

Deep-Learning-Based Gas Leak Source Localization From Sparse Sensor Data

S. Ozev, A. Çetin, Diaa Badawi, 2022, IEEE Sensors Journal.

A visual object tracking benchmark for cell motility in time-lapse imaging

A. Çetin, Rengul Cetin Atalay, H. S. Demir, 2019, Signal, Image and Video Processing.

Energy efficient cosine similarity measures according to a convex cost function

Cem Emre Akbas, Osman Günay, A. Çetin, 2016, Signal, Image and Video Processing.

An energy efficient additive neural network

A. Enis Çetin, Fatos T. Yarman-Vural, Arman Afrasiyabi, 2017, 2017 25th Signal Processing and Communications Applications Conference (SIU).

Additive neural network for forest fire detection

Xi Zhang, Diaa Badawi, Ahmet Enis Cetin, 2020, Signal Image Video Process..

(Nonrectangular Wavelets for Multiresolution Mesh Analysis and Compression)

U. Gudukbay, A.E. Cetin, L. Onural, 2006, 2006 IEEE 14th Signal Processing and Communications Applications.

Contrast Enhancement of Microscopy Images Using Image Phase Information

Serdar Cakir, Rengul Cetin-Atalay, A. Enis Cetin, 2018, IEEE Access.

Denoising using projections onto the epigraph set of convex cost functions

A. Enis Çetin, Kivanç Köse, Mohammad Tofighi, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Signal Reconstruction Framework Based On Projections Onto Epigraph Set Of A Convex Cost Function (PESC)

M. Tofighi, Kivanç Köse, A. Çetin, 2014, ArXiv.

Denoising Using Projection Onto Convex Sets (POCS) Based Framework pdf

A. Enis Çetin, Kivanç Köse, Mohammad Tofighi, 2013, ArXiv.

Computationally Efficient Wildfire Detection Method Using a Deep Convolutional Network Pruned via Fourier Analysis

Diaa Badawi, Ahmet Enis Cetin, Hongyi Pan, 2020, Sensors.

A visual object tracking benchmark for cell motility in time-lapse imaging

A. Enis Çetin, Rengül Çetin-Atalay, H. Seckin Demir, 2019, Signal Image Video Process..

Projections onto the epigraph set of the filtered variation function based deconvolution algorithm

A. Enis Çetin, Mohammad Tofighi, M. Tofighi, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Deconvolution using projections onto the epigraph set of a convex cost function

A. Enis Cetin, Alican Bozkurt, Mohammad Tofighi, 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

Phase retrieval of sparse signals from Fourier Transform magnitude using non-negative matrix factorization

A. Enis Çetin, Mohammad Shukri Salman, Alaa Eleyan, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

L1 norm based multiplication-free cosine similarity measures for big data analysis

A. Enis Cetin, Alican Bozkurt, Cem Emre Akbas, 2014, 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).

Range resolution improvement in FM-based passive radars using deconvolution

M. Tofighi, A. Çetin, M. T. Arslan, 2016, Signal, Image and Video Processing.

Cross-term-free time–frequency distribution reconstruction via lifted projections

A. Enis Çetin, Zeynel Deprem, Zeynel Deprem, 2015, IEEE Transactions on Aerospace and Electronic Systems.

Using a variation of empirical mode decomposition to remove noise from signals

A. E. Cetin, S. Krishnan, A. Guergachi, 2011, 2011 21st International Conference on Noise and Fluctuations.

Hybrid Binary Neural Networks: A Tutorial Review

A. Çetin, Hongyi Pan, A. Cetin, 2023, 2023 IEEE 41st VLSI Test Symposium (VTS).

Non-Euclidean Vector Product for Neural Networks

A. Enis Çetin, Fatos T. Yarman-Vural, Diaa Badawi, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multiplication free neural network for cancer stem cell detection in H-and-E stained liver images

A. Enis Çetin, Ece Akhan, Rengül Çetin-Atalay, 2017, Commercial + Scientific Sensing and Imaging.

Multiplication-free Neural Networks

Aysegul Uner, Rengul Cetin-Atalay, Alican Bozkurt, 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).

Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks

Diaa Badawi, Hongyi Pan, A. Enis Çetin, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Bandwidth selection for kernel density estimation using Fourier domain constraints

A. Enis Çetin, Orhan Arikan, Alexander Suhre, 2016, IET Signal Process..

Denosing Using Wavelets and Projections onto the L1-Ball pdf

A. Enis Çetin, Mohammad Tofighi, M. Tofighi, 2014, ArXiv.

Projection onto Epigraph Sets for Rapid Self-Tuning Compressed Sensing MRI

A. Enis Çetin, Mohammad Tofighi, Mohammad Shahdloo, 2018, IEEE Transactions on Medical Imaging.

Range-doppler radar target detection using denoising within the compressive sensing framework

A. Enis Çetin, Mohammad Tofighi, Rasim Akin Sevimli, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Real-Time Low-Cost Drift Compensation for Chemical Sensors Using a Deep Neural Network With Hadamard Transform and Additive Layers

Sule Ozev, Diaa Badawi, A. Enis Cetin, 2021, IEEE Sensors Journal.

Denoising images corrupted by impulsive noise using projections onto the epigraph set of the total variation function (PES-TV)

M. Tofighi, Kivanç Köse, A. Çetin, 2015, Signal Image Video Process..

Can we diagnose disk and facet degeneration in lumbar spine by acoustic analysis of spine sounds?

A. Çetin, S. Ayhan, M. Ahi, 2020, Signal, Image and Video Processing.

Multi-scale directional-filtering-based method for follicular lymphoma grading

A. Çetin, Alexander Suhre, Alican Bozkurt, 2014 .

Generalization and Localization Based Style Imitation for Grayscale Images

Fatih Nar, Atilim Çetin, A. Çetin, 2003, ISCIS.

Towards Co-designing Neural Network Function Approximators with In-SRAM Computing

Shamma Nasrin, A. Çetin, A. Trivedi, 2019, 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing - NeurIPS Edition (EMC2-NIPS).