3 papers
cs.CV2022
CompNet: A Designated Model to Handle Combinations of Images and Designed features
Bowen Qiu, Daniela Raicu, Jacob Furst +1
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 develop…
cs.CV2022
Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization
Mirtha Lucas, Miguel Lerma, Jacob Furst +1
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 b…
cs.LG2018
Synthetic Sampling for Multi-Class Malignancy Prediction
Matthew Yung, Eli T. Brown, Alexander Rasin +2
We explore several oversampling techniques for an imbalanced multi-label classification problem, a setting often encountered when developing models for Computer-Aided Diagnosis (CA…