دنبال کردن
Mete Ahishali
Mete Ahishali
Postdoctoral Researcher, University of Eastern Finland
ایمیل تأیید شده در uef.fi
عنوان
نقل شده توسط
نقل شده توسط
سال
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
292019
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
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
252019
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
152021
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
132021
Representation based regression for object distance estimation‏
M Ahishali, M Yamac, S Kiranyaz, M Gabbouj‏
Neural Networks 158, 15-29, 2023‏
122023
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
122022
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
92023
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
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
52024
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
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
12024
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
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20