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  1. No Access

    Chapter and Conference Paper

    Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification

    Chest X-Ray images are among the most used tools in medical diagnosis of various hearts and lung abnormalities and infections that could cause pneumonia, severe acute respiratory syndrome, septic shock, failur...

    Hassen Louati, Slim Bechikh, Ali Louati in Advances and Trends in Artificial Intellig… (2021)

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    Article

    Deep learning and case-based reasoning for predictive and adaptive traffic emergency management

    An efficient traffic signal control system (TSCS) should not only be reactive to the current traffic but also be predictive by anticipating future traffic disturbances. In this study, we investigate the potent...

    Ali Louati, Hassen Louati, Zhaojian Li in The Journal of Supercomputing (2021)

  3. No Access

    Chapter and Conference Paper

    Evolutionary Optimization for CNN Compression Using Thoracic X-Ray Image Classification

    Computer Vision, as an area of Artificial Intelligence, has recently achieved success in tackling numerous difficult challenges in health care and has the potential to contribute to the fight against several l...

    Hassen Louati, Slim Bechikh, Ali Louati in Advances and Trends in Artificial Intellig… (2022)

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    Chapter and Conference Paper

    Design and Compression Study for Convolutional Neural Networks Based on Evolutionary Optimization for Thoracic X-Ray Image Classification

    Computer Vision has lately shown progress in addressing a variety of complex health care difficulties and has the potential to aid in the battle against certain lung illnesses, including COVID-19. Indeed, ches...

    Hassen Louati, Ali Louati, Slim Bechikh in Computational Collective Intelligence (2022)

  5. Article

    Joint design and compression of convolutional neural networks as a Bi-level optimization problem

    Over the last decade, deep neural networks have shown great success in the fields of machine learning and computer vision. Currently, the CNN (convolutional neural network) is one of the most successful networ...

    Hassen Louati, Slim Bechikh, Ali Louati in Neural Computing and Applications (2022)

  6. No Access

    Chapter and Conference Paper

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

    Recent advancements in Computer Vision have opened up new opportunities for addressing complex healthcare challenges, particularly in the area of lung disease diagnosis. Chest X-rays, a commonly used radiologi...

    Hassen Louati, Ali Louati, Elham Kariri in Advances in Computational Collective Intel… (2023)

  7. Article

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

    Remarkable advancements have been achieved in machine learning and computer vision through the utilization of deep neural networks. Among the most advantageous of these networks is the convolutional neural net...

    Hassen Louati, Ali Louati, Slim Bechikh, Elham Kariri in The Journal of Supercomputing (2023)