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Evaluating machine learning technologies for food computing from a data set perspective.

, , , , , , , and . Multim. Tools Appl., 83 (11): 32041-32068 (March 2024)

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Evaluating machine learning technologies for food computing from a data set perspective., , , , , , , and . Multim. Tools Appl., 83 (11): 32041-32068 (March 2024)Assessing the Landscape of Telehealth Interventions for Women's Health: An Umbrella Review of Recent Advances Post-Pandemic., , , , and . EFMI-STC, volume 309 of Studies in Health Technology and Informatics, page 189-193. IOS Press, (2023)Noise2Seg: Automatic Few-Shot Selection from Noisy Web Data for Underwater Tropical Fishes Segmentation., , , , , and . ISNCC, page 1-6. IEEE, (2023)SlowDeepFood: a Food Computing Framework for Regional Gastronomy., , , , and . STAG, page 73-83. Eurographics Association, (2021)HistoContours: a Framework for Visual Annotation of Histopathology Whole Slide Images., , , , , , , and . VCBM, page 99-109. Eurographics Association, (2022)InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification., , , , , , , , , and . Comput. Graph., (2021)Model-based Analysis for target drug delivery on Internet of Bio-Health Thing in term of cardiovascular disease., , , and . CAA SAFEPROCESS, page 1-5. IEEE, (2021)MV-Soccer: Motion-Vector Augmented Instance Segmentation for Soccer Player Tracking., , , , , and . CVPR Workshops, page 3245-3255. IEEE, (2024)