Mehmet Yamaç
Mehmet Yamaç
Tampere University
Verified email at tuni.fi
Title
Cited by
Cited by
Year
Compressively sensed image recognition
A Değerli, S Aslan, M Yamac, B Sankur, M Gabbouj
2018 7th European Workshop on Visual Information Processing (EUVIP), 1-6, 2018
162018
Hiding data in compressive sensed measurements: A conditionally reversible data hiding scheme for compressively sensed measurements
M Yamac, Ç Dikici, B Sankur
Digital Signal Processing 48, 188-200, 2016
162016
Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images
M Yamaç, M Ahishali, A Degerli, S Kiranyaz, MEH Chowdhury, ...
IEEE Transactions on Neural Networks and Learning Systems, 2021
132021
A comparative study on early detection of covid-19 from chest x-ray images
M Ahishali, A Degerli, M Yamac, S Kiranyaz, MEH Chowdhury, K Hameed, ...
arXiv preprint arXiv:2006.05332, 2020
102020
Robust watermarking of compressive sensed measurements under impulsive and Gaussian attacks
M Yamaç, Ç Dikici, B Sankur
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
92013
Reversible privacy preservation using multi-level encryption and compressive sensing
M Yamaç, M Ahishali, N Passalis, J Raitoharju, B Sankur, M Gabbouj
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
72019
COVID-19 infection map generation and detection from chest X-ray images
A Degerli, M Ahishali, M Yamac, S Kiranyaz, MEH Chowdhury, K Hameed, ...
Health Information Science and Systems 9 (1), 1-16, 2021
62021
Multilinear compressive learning
DT Tran, M Yamaç, A Degerli, M Gabbouj, A Iosifidis
IEEE transactions on neural networks and learning systems, 2020
62020
Convolutional sparse support estimator network (csen) from energy efficient support estimation to learning-aided compressive sensing
M Yamac, M Ahishali, S Kiranyaz, M Gabbouj
arXiv preprint arXiv:2003.00768, 2020
42020
Detection of (D) DOS attacks based on online change point analysis
M Semerci, M Yamaç, AT Cemgil, B Sankur, DS Coşar
2016 24th Signal processing and communication application conference (SIU …, 2016
42016
A probabilistic SIP network simulation system
B Kurt, Ç Yıldız, TY Ceritli, M Yamaç, M Semerci, B Sankur, AT Cemgil
2016 24th Signal Processing and Communication Application Conference (SIU …, 2016
42016
Robust watermarking of compressive sensed signals
M Yamaç, Ç Dikici, B Sankur
2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013
42013
Through the wall target detection/monitoring from compressively sensed signals via structural sparsity
M Yamaç, M Orhan, B Sankur, AS Turk, M Gabbouj
5th International Workshop on Compressed Sensing applied to Radar …, 2018
32018
Watermarking of compressive sensed measurements
M Yamaç, C Dikici, B Sankur
SPARS 2013, 2013
32013
Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding
M Yamaç, M Ahishali, N Passalis, J Raitoharju, B Sankur, M Gabbouj
IEEE Transactions on Information Forensics and Security 16, 1014-1028, 2020
22020
Robust data hiding scheme for compressively sensed signals
M Yamaç, B Sankur, M Gabbouj
2018 26th European Signal Processing Conference (EUSIPCO), 1760-1764, 2018
22018
A DCT-based multiscale binary descriptor robust to complex brightness changes
S Aslan, M Yamaç, B Sankur
2016 24th European Signal Processing Conference (EUSIPCO), 1573-1577, 2016
22016
Advance warning methodologies for covid-19 using chest x-ray images
M Ahishali, A Degerli, M Yamac, S Kiranyaz, MEH Chowdhury, K Hameed, ...
IEEE Access 9, 41052-41065, 2021
12021
Multi-level reversible encryption for ECG signals using compressive sensing
M Impiö, M Yamaç, J Raitoharju
arXiv preprint arXiv:2104.05325, 2021
2021
BM3D vs 2-Layer ONN
J Malik, S Kiranyaz, M Yamac, M Gabbouj
arXiv preprint arXiv:2103.03060, 2021
2021
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