Výsledky vyhledávání - "Raicu, Daniela"

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CompNet: A Designated Model to Handle Combinations of Images and Designed features

Autor: Qiu, Bowen, Raicu, Daniela, Furst, Jacob, Tchoua, Roselyne

Convolutional neural networks (CNNs) are one of the most popular models of Artificial Neural Networks (ANN)s in Computer Vision (CV). A variety of CNN-based structures were developed by researchers to solve problems like image classification, object

Externí odkaz: http://arxiv.org/abs/2209.14454

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Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization

Autor: Lucas, Mirtha, Lerma, Miguel, Furst, Jacob, Raicu, Daniela

Neural networks are becoming increasingly better at tasks that involve classifying and recognizing images. At the same time techniques intended to explain the network output have been proposed. One such technique is the Gradient-based Class Activatio

Externí odkaz: http://arxiv.org/abs/2205.10900

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Synthetic Sampling for Multi-Class Malignancy Prediction

Autor: Yung, Matthew, Brown, Eli T., Rasin, Alexander, Furst, Jacob D., Raicu, Daniela S.

We explore several oversampling techniques for an imbalanced multi-label classification problem, a setting often encountered when developing models for Computer-Aided Diagnosis (CADx) systems. While most CADx systems aim to optimize classifiers for o

Externí odkaz: http://arxiv.org/abs/1807.02608

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