5 papers
Physics-Informed Learning for Robust Acoustic Localization with Calibrated Uncertainty
Jennifer N. Kampe, Changwoo J. Lee, Xin Shen +5
Recent advances in Passive Acoustic Monitoring (PAM) offer an opportunity to obtain ecological spatial point-process data at unprecedented scale. However, realizing this opportunit…
ForestIR: Physics-Informed Forest Sound Simulation for Array-Based Bioacoustic Remote Sensing
Xin Shen, Jennifer N. Kampe, Changwoo J. Lee +7
Microphone array-based passive acoustic monitoring is increasingly used for biodiversity sensing in forests. However, design and evaluation of array systems and configurations rema…
Leveraging ontologies to predict biological activity of chemicals across genes
Jennifer N. Kampe, David B. Dunson, Celeste K. Carberry +3
High-throughput screening (HTS) is useful for evaluating chemicals for potential human health risks. However, given the extraordinarily large number of genes, assay endpoints, and…
Link prediction in ecological networks under extreme taxonomic bias
Jennifer N. Kampe, Camille M. M. DeSisto, David B. Dunson
Ecological networks offer powerful insights into community function, but without first characterizing these networks accurately, our ability to detect and interpret changes under e…
Nested exemplar latent space models for dimension reduction in dynamic networks
Jennifer Noelle Kampe, Luca Alessandro Silva, Tomas Roslin +1
Dynamic latent space models are widely used for characterizing changes in networks and relational data over time. These models assign to each node latent attributes that characteri…