Echospace @ UW
Echospace @ UW
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machine learning
Machine learning in fisheries acoustics
Accelerating information extraction from fisheries acoustic data through a cloud-based machine learning workflow.
Pattern discovery from long-term echosounder time series
Developing algorithms to discover prominent spatio-temporal patterns of animal movement and grouping behavior observed in sonar echoes using data from the Ocean Observatories Initiative (OOI).
Understanding echoes
Keynote Lecture at the 2022 Denver Acoustical Society of America meeting.
Discerning behavioral habits of echolocating bats using acoustical and computational methods
Summarizing low-dimensional patterns in long-term echosounder time series from the U.S. Ocean Observatories Initiative network
Building a toolbox for studying marine ecology using large ocean sonar datasets
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