72 citations · 73 across the 5 of their papers we have counts for
5 papers
Sparse Binary Transformers for Multivariate Time Series Modeling
Matt Gorbett, Hossein Shirazi, Indrakshi Ray
Compressed Neural Networks have the potential to enable deep learning across new applications and smaller computational environments. However, understanding the range of learning t…
Towards a Virtual Reality Home IoT Network Visualizer
Drew Johnston, Jarret Flack, Indrakshi Ray +1
We present an IoT home network visualizer that utilizes virtual reality (VR). This prototype demonstrates the potential that VR has to aid in the understanding of home IoT networks…
IoTSense: Behavioral Fingerprinting of IoT Devices
Bruhadeshwar Bezawada, Maalvika Bachani, Jordan Peterson +3
The Internet-of-Things (IoT) has brought in new challenges in, device identification --what the device is, and, authentication --is the device the one it claims to be. Traditionall…
Scalable Nonlinear AUC Maximization Methods
Majdi Khalid, Indrakshi Ray, Hamidreza Chitsaz
The area under the ROC curve (AUC) is a measure of interest in various machine learning and data mining applications. It has been widely used to evaluate classification performance…
Confidence-Weighted Bipartite Ranking
Majdi Khalid, Indrakshi Ray, Hamidreza Chitsaz
Bipartite ranking is a fundamental machine learning and data mining problem. It commonly concerns the maximization of the AUC metric. Recently, a number of studies have proposed on…