Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar. Designing Attention Based Convolutional Neural Network (CNN) Architectures for Medical Image Classification Using Genetic Algorithm Based on Variable Length-Encoding Scheme. In Pierrick Legrand, Arnaud Liefooghe, Edward C. Keedwell, Julien Lepagnot, Lhassane Idoumghar, Nicolas Monmarché, Evelyne Lutton, editors, Artificial Evolution - 15th International Conference, Évolution Artificielle, EA 2022, Exeter, UK, October 31 - November 2, 2022, Revised Selected Papers. Volume 14091 of Lecture Notes in Computer Science, pages 173-186, Springer, 2022. [doi]
@inproceedings{AliMEI22,
title = {Designing Attention Based Convolutional Neural Network (CNN) Architectures for Medical Image Classification Using Genetic Algorithm Based on Variable Length-Encoding Scheme},
author = {Muhammad Junaid Ali and Laurent Moalic and Mokhtar Essaid and Lhassane Idoumghar},
year = {2022},
doi = {10.1007/978-3-031-42616-2_13},
url = {https://doi.org/10.1007/978-3-031-42616-2_13},
researchr = {https://researchr.org/publication/AliMEI22},
cites = {0},
citedby = {0},
pages = {173-186},
booktitle = {Artificial Evolution - 15th International Conference, Évolution Artificielle, EA 2022, Exeter, UK, October 31 - November 2, 2022, Revised Selected Papers},
editor = {Pierrick Legrand and Arnaud Liefooghe and Edward C. Keedwell and Julien Lepagnot and Lhassane Idoumghar and Nicolas Monmarché and Evelyne Lutton},
volume = {14091},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-42616-2},
}