[HTML][HTML] Exploring the advancements and future research directions of artificial neural networks: a text mining approach

E Kariri, H Louati, A Louati, F Masmoudi - Applied Sciences, 2023 - mdpi.com
Artificial Neural Networks (ANNs) are machine learning algorithms inspired by the structure
and function of the human brain. Their popularity has increased in recent years due to their …

Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning

H Louati, A Louati, E Kariri, S Bechikh - International Conference on …, 2023 - Springer
Abstract Recent advancements in Computer Vision have opened up new opportunities for
addressing complex healthcare challenges, particularly in the area of lung disease …

Dual-scale point cloud completion network based on high-frequency feature fusion

F Gao, Y Liu, P Shi, Y Jin, J Yu, S Li - Image and Vision Computing, 2023 - Elsevier
For many vision tasks and intelligent robotics applications, it is common that the scanned 3D
point cloud is not complete, so inferring from the residual defect shape to the intact shape …

Evolutionary Neural Architecture Search and Its Applications in Healthcare

X Liu, J Li, J Zhao, B Cao, R Yan, Z Lyu - CMES-Computer Modeling …, 2024 - diva-portal.org
Most of the neural network architectures are based on human experience, which requires a
long and tedious trial-and-error process. Neural architecture search (NAS) attempts to detect …

[HTML][HTML] Embedding channel pruning within the CNN architecture design using a bi-level evolutionary approach

H Louati, A Louati, S Bechikh, E Kariri - The Journal of Supercomputing, 2023 - Springer
Remarkable advancements have been achieved in machine learning and computer vision
through the utilization of deep neural networks. Among the most advantageous of these …