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ORCIDA. Enis Çetin
Ahmet Enis Çetin
Person information
- affiliation: University of Illinois at Chicago, IL, USA
- affiliation: Bilkent University, Ankara, Turkey
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2020 – today
- 2024
[j96]Xin Zhu
, Daoguang Yang, Hongyi Pan, Hamid Reza Karimi, Didem Ozevin, Ahmet Enis Çetin:
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression. Eng. Appl. Artif. Intell. 127(Part B): 107322 (2024)- [j95]Yue Yu, Youqian He, Hamid Reza Karimi, Len Gelman, Ahmet Enis Çetin:
A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis. Neural Networks 179: 106518 (2024) - [j94]Ziliang Hong, Emadeldeen Hamdan, Yifei Zhao, Tianxiao Ye, Hongyi Pan, Ahmet Enis Çetin:
Wildfire detection via transfer learning: a survey. Signal Image Video Process. 18(1): 207-214 (2024) - [j93]Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation. IEEE Trans. Very Large Scale Integr. Syst. 32(6): 991-1003 (2024) - [c164]Hongyi Pan, Bin Wang, Zheyuan Zhang, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci:
Domain Generalization with fourier Transform and soft thresholding. ICASSP 2024: 2106-2110 - [c163]Xin Zhu, Hongyi Pan, Shuaiang Rong, Ahmet Enis Çetin:
Electroencephalogram Sensor Data Compression Using an Asymmetrical Sparse Autoencoder with a Discrete Cosine Transform Layer. ICASSP 2024: 2160-2164 - [c162]Xin Zhu, Hongyi Pan, Salih Atici, Ahmet Enis Çetin:
Stein Variational Gradient Descent-Based Detection for Random Access with Preambles in MTC. ICASSP 2024: 9151-9155 - [c161]Xin Zhu, Hongyi Pan, Batuhan Gundogdu, Debesh Jha, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci:
A Probabilistic Hadamard U-Net for MRI Bias Field Correction. MLMI@MICCAI (1) 2024: 208-217 - [c160]Yingyi Luo, Talha M. Khan, Emadeldeen Hamdan, Xin Zhu, Hongyi Pan, Didem Ozevin, A. Enis Çetin:
AlN Sputtering Parameter Estimation Using A Multichannel Parallel DCT Neural Network. VTS 2024: 1-5 - [i37]Xin Zhu, Hongyi Pan, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci:
A Probabilistic Hadamard U-Net for MRI Bias Field Correction. CoRR abs/2403.05024 (2024) - [i36]Xin Zhu, Ahmet Enis Çetin:
The Blind Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Massive Random Access. CoRR abs/2403.18846 (2024) - [i35]Hongyi Pan, Emadeldeen Hamdan, Xin Zhu, Koushik Biswas, Ahmet Enis Çetin, Ulas Bagci:
DCT-Based Decorrelated Attention for Vision Transformers. CoRR abs/2405.13901 (2024) - [i34]Emadeldeen Hamdan, Hongyi Pan, Ahmet Enis Çetin:
Sparse Mamba: Reinforcing Controllability In Structural State Space Models. CoRR abs/2409.00563 (2024) - 2023
- [j92]Zeynel Deprem, A. Enis Çetin:
High-resolution time-frequency representation with generative adversarial networks. Signal Image Video Process. 17(3): 849-854 (2023) - [c159]Salih Atici, Hongyi Pan, Mohammed H. Elnagar, Veerasathpurush Allareddy, Omar Suhaym, Rashid Ansari, Ahmet Enis Çetin:
Classification of the Cervical Vertebrae Maturation (CVM) Stages Using the Tripod Network. ICASSP 2023: 1-5 - [c158]Hongyi Pan, Xin Zhu, Zhilu Ye, Pai-Yen Chen, Ahmet Enis Çetin:
Real-Time Wireless ECG-Derived Respiration Rate Estimation using an Autoencoder with a DCT Layer. ICASSP 2023: 1-5 - [c157]Salih Furkan Atici, Hongyi Pan, Mohammed H. Elnagar, Veerasathpurush Allareddy, Rashid Ansari, Omar Suhaym, Ahmet Enis Çetin:
A Collaborative Fusion of Vision Transformers and Convolutional Neural Networks in Classifying Cervical Vertebrae Maturation Stages. ICECS 2023: 1-4 - [c156]Hongyi Pan, Xin Zhu, Salih Furkan Atici, Ahmet Enis Çetin:
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer. ICML 2023: 26891-26903 - [c155]Ahmet Enis Çetin, Hongyi Pan:
Hybrid Binary Neural Networks: A Tutorial Review. VTS 2023: 1-12 - [i33]Hongyi Pan, Xin Zhu, Salih Atici, Ahmet Enis Çetin:
Orthogonal Transform Domain Approaches for the Convolutional Layer. CoRR abs/2303.06797 (2023) - [i32]Hongyi Pan, Xin Zhu, Salih Atici, Ahmet Enis Çetin:
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer. CoRR abs/2305.17510 (2023) - [i31]Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Enis Çetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci:
GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification. CoRR abs/2305.18221 (2023) - [i30]Ziliang Hong, Emadeldeen Hamdan, Yifei Zhao, Tianxiao Ye, Hongyi Pan, Ahmet Enis Çetin:
Wildfire Detection Via Transfer Learning: A Survey. CoRR abs/2306.12276 (2023) - [i29]Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation. CoRR abs/2309.01771 (2023) - [i28]Hongyi Pan, Bin Wang, Zheyuan Zhan, Xin Zhu, Debesh Jha, Ahmet Enis Çetin, Concetto Spampinato, Ulas Bagci:
Domain Generalization with Fourier Transform and Soft Thresholding. CoRR abs/2309.09866 (2023) - [i27]Xin Zhu, Hongyi Pan, Shuaiang Rong, Ahmet Enis Çetin:
Electroencephalogram Sensor Data Compression Using An Asymmetrical Sparse Autoencoder With A Discrete Cosine Transform Layer. CoRR abs/2309.12201 (2023) - [i26]Xin Zhu, Daoguang Yang, Hongyi Pan, Hamid Reza Karimi, Didem Ozevin, Ahmet Enis Çetin:
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression. CoRR abs/2310.02862 (2023) - 2022
- [j91]Ilknur Kayikcioglu Bozkir, Zübeyir Özcan, Cemal Köse, Temel Kayikçioglu, Ahmet Enis Çetin:
Improving a cortical pyramidal neuron model's classification performance on a real-world ecg dataset by extending inputs. J. Comput. Neurosci. 51(3): 329-341 (2022) - [j90]Serdar Çakir, A. Enis Çetin:
Visual object tracking using Fourier domain phase information. Signal Image Video Process. 16(1): 119-126 (2022) - [j89]Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Block Walsh-Hadamard Transform-based Binary Layers in Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21(6): 69:1-69:25 (2022) - [c154]Hongyi Pan, Diaa Badawi, Chang Chen, Adam C. Watts, Erdem Koyuncu, Ahmet Enis Çetin:
Deep Neural Network with Walsh-Hadamard Transform Layer For Ember Detection during a Wildfire. CVPR Workshops 2022: 256-265 - [c153]Diaa Badawi, Ishaan Bassi, Sule Ozev, Ahmet Enis Çetin:
Detecting Anomaly in Chemical Sensors via Regularized Contrastive Learning. ICASSP 2022: 86-90 - [c152]Hongyi Pan, Diaa Badawi, Runxuan Miao, Erdem Koyuncu, Ahmet Enis Çetin:
Multiplication-Avoiding Variant of Power Iteration with Applications. ICASSP 2022: 5608-5612 - [i25]Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural Networks. CoRR abs/2201.02711 (2022) - [i24]Hongyi Pan, Salih Atici, Ahmet Enis Çetin:
Multipod Convolutional Network. CoRR abs/2210.00689 (2022) - [i23]Hongyi Pan, Xin Zhu, Salih Atici, Ahmet Enis Çetin:
DCT Perceptron Layer: A Transform Domain Approach for Convolution Layer. CoRR abs/2211.08577 (2022) - [i22]Salih Atici, Hongyi Pan, Ahmet Enis Çetin:
Normalized Stochastic Gradient Descent Training of Deep Neural Networks. CoRR abs/2212.09921 (2022) - 2021
- [j88]Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman-Vural:
EEG Classification by Factoring in Sensor Spatial Configuration. IEEE Access 9: 19053-19065 (2021) - [j87]A. Enis Çetin, Yusuf Ozturk, Ouday Hanosh, Rashid Ansari:
Review of signal processing applications of Pyroelectric Infrared (PIR) sensors with a focus on respiration rate and heart rate detection. Digit. Signal Process. 119: 103247 (2021) - [j86]Vugar Nabi, Selim Ayhan, Emre Acaroglu, Mustafa Arda Ahi, Hakan Toreyin, A. Enis Çetin:
Can we diagnose disk and facet degeneration in lumbar spine by acoustic analysis of spine sounds? Signal Image Video Process. 15(3): 557-562 (2021) - [j85]Vugar Nabi, Selim Ayhan, Emre Acaroglu, Mustafa Arda Ahi, Engin Cetin, Hakan Toreyin, A. Enis Çetin:
Correction to: Can we diagnose disk and facet degeneration in lumbar spine by acoustic analysis of spine sounds? Signal Image Video Process. 15(4): 807 (2021) - [j84]Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference Using Memory-Immersed Data Conversion and Multiplication-Free Operators. IEEE Trans. Circuits Syst. I Regul. Pap. 68(5): 1966-1978 (2021) - [j83]Ahmet Enis Çetin, Qing-Guo Wang:
Guest Editorial Special Issue on Adaptive Learning and Control for Autonomous Vehicles. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5264-5265 (2021) - [c151]Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks. CVPR Workshops 2021: 4650-4659 - [c150]Hongyi Pan, Diaa Badawi, Erdem Koyuncu, A. Enis Çetin:
Robust Principal Component Analysis Using a Novel Kernel Related with the $L_{1}$ -Norm. EUSIPCO 2021: 2189-2193 - [c149]Diaa Badawi, Agamyrat Agambayev, Sule Ozev, A. Enis Çetin:
Discrete Cosine Transform Based Causal Convolutional Neural Network for Drift Compensation in Chemical Sensors. ICASSP 2021: 8012-8016 - [i21]Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference using Memory-immersed Data Conversion and Multiplication-free Operators. CoRR abs/2102.00035 (2021) - [i20]Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks. CoRR abs/2104.07085 (2021) - [i19]Hongyi Pan, Diaa Badawi, Erdem Koyuncu, A. Enis Çetin:
Robust Principal Component Analysis Using a Novel Kernel Related with the L1-Norm. CoRR abs/2105.11634 (2021) - [i18]Hongyi Pan, Diaa Badawi, Runxuan Miao, Erdem Koyuncu, Ahmet Enis Çetin:
Multiplication-Avoiding Variant of Power Iteration with Applications. CoRR abs/2110.12065 (2021) - 2020
- [j82]Diaa Badawi, Hongyi Pan, Sinan Cem Cetin, A. Enis Çetin:
Computationally Efficient Spatio-Temporal Dynamic Texture Recognition for Volatile Organic Compound (VOC) Leakage Detection in Industrial Plants. IEEE J. Sel. Top. Signal Process. 14(4): 676-687 (2020) - [j81]Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Computationally Efficient Wildfire Detection Method Using a Deep Convolutional Network Pruned via Fourier Analysis. Sensors 20(10): 2891 (2020) - [j80]A. Enis Çetin:
Expression of concern in SIVP. Signal Image Video Process. 14(2): 435 (2020) - [j79]Hongyi Pan, Diaa Badawi, Xi Zhang, Ahmet Enis Çetin:
Additive neural network for forest fire detection. Signal Image Video Process. 14(4): 675-682 (2020) - [c148]Ouday Hanosh, Rashid Ansari, Naoum P. Issa, A. Enis Çetin:
Convulsive Movement Detection using Low-Resolution Thermopile Sensor Array. CVPR Workshops 2020: 1217-1223 - [c147]Yi-Huan Chen, A. Husain Twing, Diaa Badawi, Joseph Danavi, Mark McCauley, A. Enis Çetin:
Atrial Fibrillation Risk Prediction from Electrocardiogram and Related Health Data with Deep Neural Network. ICASSP 2020: 1269-1273 - [c146]Usama Muneeb, Erdem Koyuncu, Yasaman Keshtkarjahromi, Hulya Seferoglu, Mehmet Fatih Erden, A. Enis Çetin:
Robust and Computationally-Efficient Anomaly Detection Using Powers-Of-Two Networks. ICASSP 2020: 2992-2996 - [c145]Chengmo Yang, Patrick Cronin, Agamyrat Agambayev, Sule Ozev, A. Enis Çetin, Alex Orailoglu:
A Crowd-Based Explosive Detection System with Two-Level Feedback Sensor Calibration. ICCAD 2020: 8:1-8:9 - [c144]Süleyman Aslan, Ugur Güdükbay, B. Ugur Töreyin, A. Enis Çetin:
Deep Convolutional Generative Adversarial Networks for Flame Detection in Video. ICCCI 2020: 807-815 - [c143]Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Fourier Domain Pruning of MobileNet-V2 with Application to Video Based Wildfire Detection. ICPR 2020: 1015-1022
2010 – 2019
- 2019
- [j78]Diaa Badawi, Tuba Ayhan, Sule Ozev, Chengmo Yang, Alex Orailoglu, Ahmet Enis Çetin:
Detecting Gas Vapor Leaks Using Uncalibrated Sensors. IEEE Access 7: 155701-155710 (2019) - [j77]H. Seckin Demir, A. Enis Çetin, Rengül Çetin-Atalay:
A visual object tracking benchmark for cell motility in time-lapse imaging. Signal Image Video Process. 13(6): 1063-1070 (2019) - [j76]Mohammad Shahdloo, Efe Ilicak, Mohammad Tofighi, Emine Ulku Saritas, A. Enis Çetin, Tolga Çukur:
Projection onto Epigraph Sets for Rapid Self-Tuning Compressed Sensing MRI. IEEE Trans. Medical Imaging 38(7): 1677-1689 (2019) - [c142]Guglielmo Menchetti, Zhanli Chen, Diana J. Wilkie, Rashid Ansari, Yasemin Yardimci, A. Enis Çetin:
Pain Detection from Facial Videos Using Two-Stage Deep Learning. GlobalSIP 2019: 1-5 - [c141]Diaa Badawi, Sule Ozev, Jennifer Blain Christen, Chengmo Yang, Alex Orailoglu, A. Enis Çetin:
Detecting Gas Vapor Leaks through Uncalibrated Sensor Based CPS. ICASSP 2019: 8296-8300 - [c140]Süleyman Aslan, Ugur Güdükbay, B. Ugur Töreyin, A. Enis Çetin:
Early Wildfire Smoke Detection Based on Motion-based Geometric Image Transformation and Deep Convolutional Generative Adversarial Networks. ICASSP 2019: 8315-8319 - [c139]Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman-Vural:
EEG Classification based on Image Configuration in Social Anxiety Disorder. NER 2019: 577-580 - [c138]Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
Towards Co-designing Neural Network Function Approximators with In-SRAM Computing. EMC2@NeurIPS 2019: 40-43 - [i17]Süleyman Aslan, Ugur Güdükbay, B. Ugur Töreyin, A. Enis Çetin:
Deep Convolutional Generative Adversarial Networks Based Flame Detection in Video. CoRR abs/1902.01824 (2019) - [i16]Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Heide Klumpp, Olusola Ajilore, Fatos T. Yarman-Vural:
Improved EEG Classification by factoring in sensor topography. CoRR abs/1905.09472 (2019) - [i15]Diaa Badawi, Tuba Ayhan, Sule Ozev, Chengmo Yang, Alex Orailoglu, A. Enis Çetin:
Detecting Gas Vapor Leaks Using Uncalibrated Sensors. CoRR abs/1908.07619 (2019) - [i14]Usama Muneeb, Erdem Koyuncu, Yasaman Keshtkarjahromi, Hulya Seferoglu, Mehmet Fatih Erden, Ahmet Enis Çetin:
Robust and Computationally-Efficient Anomaly Detection using Powers-of-Two Networks. CoRR abs/1910.14096 (2019) - 2018
- [j75]Serdar Çakir, Deniz Cansen Kahraman, Rengül Çetin-Atalay, A. Enis Çetin:
Contrast Enhancement of Microscopy Images Using Image Phase Information. IEEE Access 6: 3839-3850 (2018) - [j74]Onur Yorulmaz, A. Enis Çetin:
Deconvolution using Fourier transform phase, ℓ1 and ℓ2 balls, and filtered variation. Digit. Signal Process. 77: 36-42 (2018) - [j73]Aasma Aslam, Babar Hussain, Ahmet Enis Çetin, Arif Iqbal Umar, Rashid Ansari:
Gender classification based on isolated facial features and foggy faces using jointly trained deep convolutional neural network. J. Electronic Imaging 27(05): 053023 (2018) - [j72]A. Enis Çetin:
Honoring Murat Kunt. Signal Image Video Process. 12(1): 1-3 (2018) - [j71]Onur Yorulmaz, A. Enis Çetin:
Deconvolution using Fourier Transform phase, ℓ1 and ℓ2 balls, and filtered variation. SoftwareX 8: 11-17 (2018) - [j70]Mahdi Salarian, Nick Iliev, Ahmet Enis Çetin, Rashid Ansari:
Improved Image-Based Localization Using SFM and Modified Coordinate System Transfer. IEEE Trans. Multim. 20(12): 3298-3310 (2018) - [c137]Serdar Çakir, A. Enis Çetin:
Contrast Enhancement Using Phase Transition Information and Total Variation. ICASSP 2018: 1438-1442 - [c136]Arman Afrasiyabi, Diaa Badawi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman-Vural, A. Enis Çetin:
Non-Euclidean Vector Product for Neural Networks. ICASSP 2018: 6862-6866 - [e3]Behcet Ugur Töreyin, Davide Moroni, A. Enis Çetin:
IWCIM 2017, International Workshop on Computational Intelligence for Multimedia Understanding, Kos Island, Greece, 2 September, 2017. MDPI Proceedings 2(2), MDPI 2018 [contents] - [i13]T. Ceren Deveci, Serdar Çakir, A. Enis Çetin:
Energy Efficient Hadamard Neural Networks. CoRR abs/1805.05421 (2018) - [i12]Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman-Vural:
EEG Classification based on Image Configuration in Social Anxiety Disorder. CoRR abs/1812.02865 (2018) - 2017
- [j69]Cem Emre Akbas, Osman Günay, Kasim Tasdemir, A. Enis Çetin:
Energy efficient cosine similarity measures according to a convex cost function. Signal Image Video Process. 11(2): 349-356 (2017) - [j68]Fatih Erden, Ahmet Enis Çetin:
Period Estimation of an Almost Periodic Signal Using Persistent Homology With Application to Respiratory Rate Measurement. IEEE Signal Process. Lett. 24(7): 958-962 (2017) - [c135]Oguzhan Oguz, A. Enis Çetin, Rengül Çetin-Atalay:
Classification of Hematoxylin and Eosin Images Using Local Binary Patterns and 1-D SIFT Algorithm. IWCIM@EUSIPCO 2017: 94 - [c134]Gokmen Can, Cem Emre Akbas, A. Enis Çetin:
Time-scale wavelet scattering using hyperbolic tangent function for vessel sound classification. EUSIPCO 2017: 1794-1798 - [c133]Wolfgang Aichinger, Sebastian Krappe, A. Enis Çetin, Rengül Çetin-Atalay, Aysegül Üner, Michaela Benz, Thomas Wittenberg, Marc Stamminger, Christian Münzenmayer:
Automated cancer stem cell recognition in H and E stained tissue using convolutional neural networks and color deconvolution. Digital Pathology 2017: 101400N - [c132]Arman Afrasiyabi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman-Vural, A. Enis Çetin:
An energy efficient additive neural network. SIU 2017: 1-4 - [i11]Arman Afrasiyabi, Ozan Yildiz, Baris Nasir, Fatos T. Yarman-Vural, A. Enis Çetin:
Energy Saving Additive Neural Network. CoRR abs/1702.02676 (2017) - 2016
- [j67]Alexander Suhre, Orhan Arikan, Ahmet Enis Çetin:
Bandwidth selection for kernel density estimation using Fourier domain constraints. IET Signal Process. 10(3): 280-283 (2016) - [j66]Serdar Çakir, A. Enis Çetin:
Image quality assessment using two-dimensional complex mel-cepstrum. J. Electronic Imaging 25(6): 61604 (2016) - [j65]Mohammad Tofighi, Onur Yorulmaz, Kivanç Köse, Deniz Cansen Yildirim, Rengül Çetin-Atalay, A. Enis Çetin:
Phase and TV Based Convex Sets for Blind Deconvolution of Microscopic Images. IEEE J. Sel. Top. Signal Process. 10(1): 81-91 (2016) - [j64]Musa Tunç Arslan, Mohammad Tofighi, A. Enis Çetin:
Range resolution improvement in FM-based passive radars using deconvolution. Signal Image Video Process. 10(8): 1481-1488 (2016) - [j63]Fauzia Ahmad, A. Enis Çetin, Dominic K. C. Ho, John Nelson:
Signal Processing for Assisted Living: Developments and Open Problems [From the Guest Editors]. IEEE Signal Process. Mag. 33(2): 25-26 (2016) - [c131]Fatih Erden, A. Enis Çetin:
Breathing detection based on the topological features of IR sensor and accelerometer signals. ACSSC 2016: 1763-1767 - [c130]Mohammad Tofighi, A. Enis Çetin:
Projections onto the epigraph set of the filtered variation function based deconvolution algorithm. GlobalSIP 2016: 70-74 - [c129]H. Seckin Demir, A. Enis Çetin:
Co-difference based object tracking algorithm for infrared videos. ICIP 2016: 434-438 - [c128]Oguzhan Oguz, Cem Emre Akbas, Maen Mallah, Kasim Tasdemir, Ece Akhan Güzelcan, Christian Münzenmayer, Thomas Wittenberg, Aysegül Üner, A. Enis Çetin, Rengül Çetin-Atalay:
Mixture of learners for cancer stem cell detection using CD13 and H and E stained images. Digital Pathology 2016: 97910Y - [c127]Umut Çinar, Yasemin Yardimci Çetin, Rengül Çetin-Atalay, A. Enis Çetin:
Classification of human carcinoma cells using multispectral imagery. Digital Pathology 2016: 97911C - [c126]Gokmen Can, Cem Emre Akbas, A. Enis Çetin:
Recognition of vessel acoustic signatures using non-linear teager energy based features. IWCIM 2016: 1-5 - 2015
- [j62]Dimitri Androutsos, Kostas N. Plataniotis, A. Enis Çetin:
Editorial: In Memoriam: Anastasios (Tas) N. Venetsanopoulos. Signal Image Video Process. 9(Supplement-1): 1-2 (2015) - [j61]Mohammad Tofighi, Kivanç Köse, A. Enis Çetin:
Denoising images corrupted by impulsive noise using projections onto the epigraph set of the total variation function (PES-TV). Signal Image Video Process. 9(Supplement-1): 41-48 (2015) - [j60]Alican Bozkurt, Pinar Duygulu, A. Enis Çetin:
Classifying fonts and calligraphy styles using complex wavelet transform. Signal Image Video Process. 9(Supplement-1): 225-234 (2015) - [j59]A. Enis Çetin, Mohammad Tofighi:
Projection-Based Wavelet Denoising [Lecture Notes]. IEEE Signal Process. Mag. 32(5): 120-124 (2015) - [j58]Zeynel Deprem, A. Enis Çetin:
Cross-term-free time-frequency distribution reconstruction via lifted projections. IEEE Trans. Aerosp. Electron. Syst. 51(1): 479-491 (2015) - [c125]Sebastian Krappe, Christian Münzenmayer, Amrei Evert, Can Fahrettin Koyuncu, A. Enis Çetin, Torsten Haferlach, Thomas Wittenberg, Christian Held:
Dynamic Programming for the Segmentation of Bone Marrow Cells. Bildverarbeitung für die Medizin 2015: 359-364 - [c124]Zeynel Deprem, A. Enis Çetin:
Kernel estimation for time-frequency distributions using epigraph set of L1-NORM. EUSIPCO 2015: 1491-1495 - [c123]Onur Yorulmaz, Oguzhan Oguz, Ece Akhan, Donus Tuncel, Rengül Çetin-Atalay, A. Enis Çetin:
Multi-resolution super-pixels and their applications on fluorescent mesenchymal stem cells images using 1-D SIFT merging. ICIP 2015: 2495-2499 - [c122]Osman Günay, A. Enis Çetin:
Real-time dynamic texture recognition using random sampling and dimension reduction. ICIP 2015: 3087-3091 - [c121]