90 citations · 102 across the 6 of their papers we have counts for
6 papers
An Analysis of RF Transfer Learning Behavior Using Synthetic Data
Lauren J. Wong, Sean McPherson, Alan J. Michaels
Transfer learning (TL) techniques, which leverage prior knowledge gained from data with different distributions to achieve higher performance and reduced training time, are often u…
Assessing the Value of Transfer Learning Metrics for RF Domain Adaptation
Lauren J. Wong, Sean McPherson, Alan J. Michaels
The use of transfer learning (TL) techniques has become common practice in fields such as computer vision (CV) and natural language processing (NLP). Leveraging prior knowledge gai…
Explainable Neural Network-based Modulation Classification via Concept Bottleneck Models
Lauren J. Wong, Sean McPherson
While RFML is expected to be a key enabler of future wireless standards, a significant challenge to the widespread adoption of RFML techniques is the lack of explainability in deep…
SpaceNet MVOI: a Multi-View Overhead Imagery Dataset
Nicholas Weir, David Lindenbaum, Alexei Bastidas +5
Detection and segmentation of objects in overheard imagery is a challenging task. The variable density, random orientation, small size, and instance-to-instance heterogeneity of ob…
Analysis of Twitter Traffic based on Renewal Densities
Javier Esteban, Antonio Ortega, Sean McPherson +1
In this paper we propose a novel approach for Twitter traffic analysis based on renewal theory. Even though twitter datasets are of increasing interest to researchers, extracting i…
Analysis of Internet Measurement Systems for Optimized Anomaly Detection System Design
Sean McPherson, Antonio Ortega
Although there exist very accurate hardware systems for measuring traffic on the internet, their widespread use for analysis tasks is limited by their high cost. On the other hand,…