Aya Saad
Bakgrunn og aktiviteter
Vitenskapelig, faglig og kunstnerisk arbeid
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Tidsskriftspublikasjoner
- (2021) An instance segmentation framework for in-situ plankton taxa assessment. Proceedings of SPIE, the International Society for Optical Engineering. vol. 11605.
- (2020) Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer. Oceanography. vol. 33 (3).
Andre
- (2020) Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. Global OCEANS 2020 . IEEE Oceanic Engineering Society & Marine Technology Society; Singapore. 2020-10-05 - 2020-10-14.
- (2020) Towards a Balanced-Labeled-Dataset of Planktons for a Better In-Situ Taxa Identification. Ocean Sciences Meeting 2020 . AGU, ASLO and TOS; San Diego, CA. 2020-02-16 - 2020-02-21.
- (2020) Recent Advances in Visual Sensing and Machine Learning Techniques for in-situ Plankton-taxa Classification. Ocean Sciences Meeting 2020 . AGU, ASLO and TOS; San Diego, CA. 2020-02-16 - 2020-02-21.
- (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ. Global OCEANS 2020 . IEEE Oceanic Engineering Society & Marine Technology Society; Singapore. 2020-10-05 - 2020-10-14.
- (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations. Global OCEANS 2020 . IEEE Oceanic Engineering Society & Marine Technology Society; Singapore. 2020-10-05 - 2020-10-14.
- (2019) AILARON - Autonomous Imaging and Learning Ai RObot identifying plaNkton taxa in-situ. Geilo Winter School 2019: Learning from Data . SINTEF; Geilo. 2019-01-20 - 2019-01-25.