4 citations · 11 across the 5 of their papers we have counts for
5 papers
Generatively Augmented Neural Network Watchdog for Image Classification Networks
Justin M. Bui, Glauco A. Amigo, Robert J. Marks
The identification of out-of-distribution data is vital to the deployment of classification networks. For example, a generic neural network that has been trained to differentiate b…
Classification of Common Waveforms Including a Watchdog for Unknown Signals
C. Tanner Fredieu, Justin Bui, Anthony Martone +3
In this paper, we examine the use of a deep multi-layer perceptron model architecture to classify received signal samples as coming from one of four common waveforms, Single Carrie…
Cascade Watchdog: A Multi-tiered Adversarial Guard for Outlier Detection
Glauco Amigo, Justin M. Bui, Charles Baylis +1
The identification of out-of-distribution content is critical to the successful implementation of neural networks. Watchdog techniques have been developed to support the detection…
Symbiotic Hybrid Neural Network Watchdog For Outlier Detection
Justin Bui, Robert J. Marks
Neural networks are largely black boxes. A neural network trained to classify fruit may classify a picture of a giraffe as a banana. A neural network watchdog's job is to identify…
Autoencoder Watchdog Outlier Detection for Classifiers
Justin Bui, Robert J Marks
Neural networks have often been described as black boxes. A generic neural network trained to differentiate between kittens and puppies will classify a picture of a kumquat as a ki…