101 citations · 165 across the 9 of their papers we have counts for
9 papers
Joint Utilization of Geospatial and census proxies for Autoencoder-Assisted Downscaling (JUGAAD) of socioeconomic indicators in India
Aditya Dutt, Paul Gader, Aditya Singh
Monitoring poverty and food security indicators is imperative for addressing socioeconomic challenges in developing nations. A limitation is mismatches in scale between data source…
Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data
Aditya Dutt, Alina Zare, Paul Gader
Heterogeneous data fusion can enhance the robustness and accuracy of an algorithm on a given task. However, due to the difference in various modalities, aligning the sensors and em…
Robust Semi-Supervised Classification using GANs with Self-Organizing Maps
Ronald Fick, Paul Gader, Alina Zare
Generative adversarial networks (GANs) have shown tremendous promise in learning to generate data and effective at aiding semi-supervised classification. However, to this point, se…
Outlier Detection through Null Space Analysis of Neural Networks
Matthew Cook, Alina Zare, Paul Gader
Many machine learning classification systems lack competency awareness. Specifically, many systems lack the ability to identify when outliers (e.g., samples that are distinct from…
Multi-Target Multiple Instance Learning for Hyperspectral Target Detection
Susan Meerdink, James Bocinsky, Alina Zare +4
In remote sensing, it is often challenging to acquire or collect a large dataset that is accurately labeled. This difficulty is usually due to several issues, including but not lim…
Unmixing urban hyperspectral imagery with a Gaussian mixture model on endmember variability
Yuan Zhou, Erin B. Wetherley, Paul D. Gader
In this paper, we model a pixel as a linear combination of endmembers sampled from probability distributions of Gaussian mixture models (GMM). The parameters of the GMM distributio…