Mete Ahishali

According to our database, Mete Ahishali authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dropout Concrete Autoencoder for Band Selection on HSI Scenes.

Lei Xu, Mete Ahishali, Moncef Gabbouj

CoRR, 2024

2023

Representation based regression for object distance estimation.

Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Moncef Gabbouj

Neural Networks, January, 2023

Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing.

Mehmet Yamaç, Mete Ahishali, Serkan Kiranyaz, Moncef Gabbouj

IEEE Trans. Neural Networks Learn. Syst., 2023

Operational Support Estimator Networks.

Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Moncef Gabbouj

CoRR, 2023

Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification.

Sertac Kilickaya, Mete Ahishali, Fahad Sohrab, Turker Ince, Moncef Gabbouj

CoRR, 2023

Improved Active Fire Detection using Operational U-Nets.

Ozer Can Devecioglu, Mete Ahishali, Fahad Sohrab, Turker Ince, Moncef Gabbouj

CoRR, 2023

SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection Using Multi-View Echocardiography.

Ilke Adalioglu, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Moncef Gabbouj

Proceedings of the Computing in Cardiology, 2023

2022

R2C-GAN: Restore-to-Classify GANs for Blind X-Ray Restoration and COVID-19 Classification.

Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj

CoRR, 2022

SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection.

Mete Ahishali, Serkan Kiranyaz, Iftikhar Ahmad, Moncef Gabbouj

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images.

Mehmet Yamaç, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj

IEEE Trans. Neural Networks Learn. Syst., 2021

Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding.

Mehmet Yamaç, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj

IEEE Trans. Inf. Forensics Secur., 2021

COVID-19 infection map generation and detection from chest X-ray images.

Aysen Degerli, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj

Health Inf. Sci. Syst., 2021

Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images.

Mete Ahishali, Aysen Degerli, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj

IEEE Access, 2021

Reliable Covid-19 Detection using Chest X-Ray Images.

Aysen Degerli, Mete Ahishali, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks.

Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj

CoRR, 2020

A Comparative Study on Early Detection of COVID-19 from Chest X-Ray Images.

Mete Ahishali, Aysen Degerli, Mehmet Yamac, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj

CoRR, 2020

2019

Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks.

Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj

Remote. Sens., 2019

Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing.

Mehmet Yamaç, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj

Proceedings of the 27th European Signal Processing Conference, 2019