1 citations · 1 across the 3 of their papers we have counts for
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★ 1 cited
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…