49 citations · 91 across the 4 of their papers we have counts for
4 papers
Producing Plankton Classifiers that are Robust to Dataset Shift
Cheng Chen, Sreenath Kyathanahally, Marta Reyes +6
Modern plankton high-throughput monitoring relies on deep learning classifiers for species recognition in water ecosystems. Despite satisfactory nominal performances, a significant…
Ensembles of Vision Transformers as a New Paradigm for Automated Classification in Ecology
S. Kyathanahally, T. Hardeman, M. Reyes +5
Monitoring biodiversity is paramount to manage and protect natural resources. Collecting images of organisms over large temporal or spatial scales is a promising practice to monito…
Deep Learning Classification of Lake Zooplankton
S. P. Kyathanahally, T. Hardeman, E. Merz +5
Plankton are effective indicators of environmental change and ecosystem health in freshwater habitats, but collection of plankton data using manual microscopic methods is extremely…
Underwater dual-magnification imaging for automated lake plankton monitoring
E. Merz, T. Kozakiewicz, M. Reyes +10
We present an approach for automated in-situ monitoring of phytoplankton and zooplankton communities based on a dual magnification dark-field imaging microscope/camera. We describe…