Sep 7, 2020 · We believe collaborative deep learning models can significantly improve the accuracy of existing automated plankton classification systems.

Sep 24, 2020 · Here we use state-of-the-art methods in Deep Learning to investigate suitable architectures for training an automated plankton classification ...

We collected live plankton from Station. L4 in the Western English Channel and imaged 11,371 particles covering 104 taxonomic groups using the automated ...

Collaborative Deep Learning Models to Handle Class Imbalance in FlowCam Plankton Imagery · Kerr, Thomas · Clark, James R. · Fileman, Elaine S. · Widdicombe, Claire ...

Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks.

Pugeault, "Collaborative deep learning models to handle class imbalance in FlowCam plankton imagery," in IEEE Access, doi: 10.1109/ACCESS.2020.3022242.

Pugeault, "Collaborative deep learning models to handle class imbalance in FlowCam plankton imagery," in IEEE Access, doi: 10.1109/ACCESS.2020.3022242.

Fileman, C. E. Widdicombe and N. Pugeault (2020). Collaborative Deep Learning Models to Handle Class Imbalance in FlowCam Plankton Imagery. IEEE Access, vol. 8, ...

Collaborative models were used recently to counter data imbalance, yielding high performances on single-channel (i.e., black and white) images obtained in ...

Oct 8, 2020 · In this work we introduce the idea of using collaborative Deep Learning models to help address this issue. By training a function that teaches ...