32 citations · 43 across the 10 of their papers we have counts for
12 papers
Predicting Protein-Nucleic Acid Flexibility Using Persistent Sheaf Laplacians
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
Understanding the flexibility of protein-nucleic acid complexes, often characterized by atomic B-factors, is essential for elucidating their structure, dynamics, and functions, suc…
A General Framework for Group Sparsity in Hyperspectral Unmixing Using Endmember Bundles
Gokul Bhusal, Yifei Lou, Cristina Garcia-Cardona +1
Due to low spatial resolution, hyperspectral data often consists of mixtures of contributions from multiple materials. This limitation motivates the task of hyperspectral unmixing…
Persistent Sheaf Laplacian Analysis of Protein Flexibility
Nicole Hayes, Xiaoqi Wei, Hongsong Feng +2
Protein flexibility, measured by the B-factor or Debye-Waller factor, is essential for protein functions such as structural support, enzyme activity, cellular communication, and mo…
Detection and tracking of gas plumes in LWIR hyperspectral video sequence data
Torin Gerhart, Justin Sunu, Ekaterina Merkurjev +3
Automated detection of chemical plumes presents a segmentation challenge. The segmentation problem for gas plumes is difficult due to the diffusive nature of the cloud. The advanta…
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
Gokul Bhusal, Kevin Miller, Ekaterina Merkurjev
Active learning enhances the performance of machine learning methods, particularly in semi-supervised cases, by judiciously selecting a limited number of unlabeled data points for…
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data
Nicole Hayes, Ekaterina Merkurjev, Guo-Wei Wei
Data sets with imbalanced class sizes, where one class size is much smaller than that of others, occur exceedingly often in many applications, including those with biological found…