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Oge Marques


Last seen: 3 meses hace Con actividad desde 2019

Followers: 1   Following: 0

Professor in the Department of Computer & Electrical Engineering and Computer Science at Florida Atlantic University. Author of "Practical Image and Video Processing Using MATLAB". Professional Interests: Image Processing, Deep Learning, Medical Image Analysis, Human and Computer Vision

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Enviada


Explainable AI for Image Classification
Example of how to use MATLAB to produce post-hoc explanations (using Grad-CAM) for image classification tasks.

casi 2 años hace | 2 descargas |

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Enviada


Training Deep Neural Networks using a low-code app in MATLAB
Example of how to use MATLAB Deep Network Designer to build deep learning solutions to two different problems: diabetes predicti...

alrededor de 3 años hace | 1 descarga |

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Deep Learning workflow for computational pathology
Example of how to use MATLAB Experiment Manager to manipulate very large images in the context of computational pathology (CPATH...

alrededor de 3 años hace | 3 descargas |

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Enviada


Synthetic skin lesion image generation using GANs
Example of how to use MATLAB to generate synthetic images of skin lesions.

más de 3 años hace | 4 descargas |

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Enviada


Explainable AI for Medical Images
Example of how to use MATLAB to produce post-hoc explanations (using Grad-CAM and image LIME) for a medical image classification...

más de 3 años hace | 4 descargas |

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Enviada


Managing medical image classification experiments
Example of how to use MATLAB Experiment Manager to test different classifiers for skin lesion classification using transfer lea...

más de 3 años hace | 3 descargas |

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Scene Classification Using Deep Learning
A scene classification solution using a subset of the MIT Places dataset and a pretrained model, Places365GoogLeNet.

alrededor de 5 años hace | 4 descargas |

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Image classification using data augmentation
A simple example of a four-class image classifier using a small dataset, with and without data augmentation.

más de 5 años hace | 2 descargas |

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