4 citations · 6 across the 5 of their papers we have counts for
5 papers
Time Series Methods and Ensemble Models to Nowcast Dengue at the State Level in Brazil
Katherine Kempfert, Kaitlyn Martinez, Amir Siraj +8
Predicting an infectious disease can help reduce its impact by advising public health interventions and personal preventive measures. Novel data streams, such as Internet and socia…
Deep Snow: Synthesizing Remote Sensing Imagery with Generative Adversarial Nets
Christopher X. Ren, Amanda Ziemann, James Theiler +1
In this work we demonstrate that generative adversarial networks (GANs) can be used to generate realistic pervasive changes in remote sensing imagery, even in an unpaired training…
On the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict
Christopher X. Ren, Matthew T. Calef, Alice M. S. Durieux +2
The detection and quantification of conflict through remote sensing modalities represents a challenging but crucial aspect of human rights monitoring. In this work we demonstrate h…
Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery
Christopher X. Ren, Amanda Ziemann, Alice M. S. Durieux +1
This paper introduces a new method of generating realistic pervasive changes in the context of evaluating the effectiveness of change detection algorithms in controlled settings. T…
Closed-form detector for solid sub-pixel targets in multivariate t-distributed background clutter
James Theiler, Beate Zimmer, Amanda Ziemann
The generalized likelihood ratio test (GLRT) is used to derive a detector for solid sub-pixel targets in hyperspectral imagery. A closed-form solution is obtained that optimizes th…