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Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset., , , , and . CoRR, (2021)Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions., , , , , and . AICS, volume 3105 of CEUR Workshop Proceedings, page 176-187. CEUR-WS.org, (2021)Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation., , , , , , , and . CoRR, (2022)BLAST: Bridging Length/time scales via Atomistic Simulation Toolkit., , , , , , and . CoRR, (2020)Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation., , , , , , and . CVPR Workshops, page 1635-1645. IEEE, (2022)Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation., , , , , , , and . CoRR, (2022)Enabling Functional Safety ASIL Compliance for Autonomous Driving Software Systems., , , , , , , , and . Autonomous Vehicles and Machines, page 35-40. Society for Imaging Science and Technology, (2017)Semi-supervised dry herbage mass estimation using automatic data and synthetic images., , , , , , , and . ICCVW, page 1284-1293. IEEE, (2021)Mining the change of customer behavior in dynamic markets., , and . Inf. Technol. Manag., 16 (2): 117-138 (2015)Sign Language Translation Using Multi Context Transformer., , , , and . MICAI (2), volume 13068 of Lecture Notes in Computer Science, page 311-324. Springer, (2021)