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Mete Ahishali
Mete Ahishali
Postdoctoral Researcher, University of Eastern Finland
E-mailová adresa ověřena na: uef.fi
Název
Citace
Citace
Rok
Convolutional sparse support estimator-based COVID-19 recognition from X-ray images
M Yamac, M Ahishali, A Degerli, S Kiranyaz, MEH Chowdhury, ...
IEEE Transactions on Neural Networks and Learning Systems 32 (5), 1810-1820, 2021
1252021
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), 15, 2021
1132021
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
79*2021
Multi-level reversible data anonymization via compressive sensing and data hiding
M Yamac, M Ahishali, N Passalis, J Raitoharju, B Sankur, M Gabbouj
IEEE Transactions on Information Forensics and Security 16, 1014-1028, 2020
392020
Dual and single polarized SAR image classification using compact convolutional neural networks
M Ahishali, S Kiranyaz, T Ince, M Gabbouj
Remote Sensing 11 (11), 1340, 2019
282019
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
272019
Classification of polarimetric SAR images using compact convolutional neural networks
M Ahishali, S Kiranyaz, T Ince, M Gabbouj
GIScience & Remote Sensing 58 (1), 28-47, 2021
252021
Reliable covid-19 detection using chest x-ray images
A Degerli, M Ahishali, S Kiranyaz, MEH Chowdhury, M Gabbouj
2021 IEEE International Conference on Image Processing (ICIP), 185-189, 2021
142021
Convolutional sparse support estimator network (CSEN): From energy-efficient support estimation to learning-aided compressive sensing
M Yamaç, M Ahishali, S Kiranyaz, M Gabbouj
IEEE Transactions on Neural Networks and Learning Systems 34 (1), 290-304, 2021
142021
Representation based regression for object distance estimation
M Ahishali, M Yamac, S Kiranyaz, M Gabbouj
Neural Networks 158, 15-29, 2023
112023
SRL-SOA: Self-representation learning with sparse 1D-operational autoencoder for hyperspectral image band selection
M Ahishali, S Kiranyaz, I Ahmad, M Gabbouj
2022 IEEE International Conference on Image Processing (ICIP), 2296-2300, 2022
112022
Multifrequency PolSAR image classification using dual-band 1d convolutional neural networks
M Ahishali, S Kiranyaz, T Ince, M Gabbouj
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium …, 2020
92020
Hyperspectral image analysis with subspace learning-based one-class classification
S Kilickaya, M Ahishali, F Sohrab, T Ince, M Gabbouj
2023 Photonics & Electromagnetics Research Symposium (PIERS), 953-959, 2023
72023
Comparison of polarimetrie SAR features for terrain classification using incremental training
T Ince, M Ahishali, S Kiranyaz
2017 Progress In Electromagnetics Research Symposium-Spring (PIERS), 3258-3262, 2017
72017
SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection using Multi-View Echocardiography
I Adalioglu, M Ahishali, A Degerli, S Kiranyaz, M Gabbouj
2023 Computing in Cardiology (CinC) 50, 1-4, 2023
62023
R2C-GAN: Restore-to-Classify Generative Adversarial Networks for blind X-ray restoration and COVID-19 classification
M Ahishali, A Degerli, S Kiranyaz, T Hamid, R Mazhar, M Gabbouj
Pattern Recognition 156, 110765, 2024
5*2024
Performance comparison of learned vs. engineered features for polarimetric SAR terrain classification
M Ahishali, T Ince, S Kiranyaz, M Gabbouj
2019 PhotonIcs & Electromagnetics Research Symposium-Spring (PIERS-Spring …, 2019
42019
Improved Active Fire Detection Using Operational U-nets
OC Devecioglu, M Ahishali, F Sohrab, T Ince, M Gabbouj
2023 Photonics & Electromagnetics Research Symposium (PIERS), 692-697, 2023
32023
Operational Support Estimator Networks
M Ahishali, M Yamac, S Kiranyaz, M Gabbouj
IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (12), 8442 …, 2024
12024
Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description
S Kilickaya, M Ahishali, C Celebioglu, F Sohrab, L Eren, T Ince, M Askar, ...
arXiv preprint arXiv:2412.10792, 2024
2024
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Články 1–20