| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2024―Nov―05 |
Segmentation of COVID-19 CT lesions in CT scans through transfer learning |
Symeon Psaraftis-Souranis, Christos Troussas, Athanasios Voulodimos, Cleo Sgouropoulou |
| 2 |
[GO] |
2023―Jun―07 |
Probabilistic reasoning for diagnosis prediction of Coronavirus disease based on probabilistic ontology |
Messaouda Fareh, Ishak Riali, Hafsa Kherbache, Marwa Guemmouz |
| 3 |
[GO] |
2022―Sep―19 |
Efficient generative transfer learning framework for the detection of COVID-19 |
J. Bhuvana, T.T. Mirnalinee, B. Bharathi, Infant Sneha |
| 4 |
[GO] |
2022―Jul―25 |
The impact of digital transformation in teachers’ professional development during the COVID-19 pandemic |
Ayden Kahraman, Huseyin Bicen |
| 5 |
[GO] |
2022―May―13 |
COVID-19 datasets: A brief overview |
Ke Sun, Wuyang Li, Vidya Saikrishna, Mehmood Chadhar, Feng Xia |
| 6 |
[GO] |
2021―Nov―01 |
Transfer learning and GRU-CRF augmentation for COVID-19 fake news detection |
Andrea Karnyoto, Chengjie Sun, Bingquan Liu, Xiaolong Wang |
| 7 |
[GO] |
2021―Nov―01 |
Hyper-parameter optimization of convolutional neural networks for classifying COVID-19 X-ray images |
Grega Vrbacic, Spela Pecnik, Vili Podgorelec |
