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2024
Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to action
Frontiers In Nutrition. 2024. Vol. 11, p. 1231070. DOI : 10.3389/fnut.2024.1231070.Mapping drivers of tropical forest loss with satellite image time series and machine learning
Environmental Research Letters. 2024. Vol. 19, num. 6, p. 064053. DOI : 10.1088/1748-9326/ad44b2.Regional uniqueness of tree species composition and response to forest loss and climate change
Nature Communications. 2024. Vol. 15, num. 1, p. 4375. DOI : 10.1038/s41467-024-48276-3.WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models
International Journal Of Computer Vision. 2024. DOI : 10.1007/s11263-024-02026-6.Fungal community composition predicts forest carbon storage at a continental scale
Nature Communications. 2024. Vol. 15, num. 1, p. 2385. DOI : 10.1038/s41467-024-46792-w.Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning
Remote Sensing Of Environment. 2024. Vol. 305, p. 114109. DOI : 10.1016/j.rse.2024.114109.Scalable semantic 3D mapping of coral reefs with deep learning
Methods In Ecology And Evolution. 2024. DOI : 10.1111/2041-210X.14307.Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica
Geophysical Research Letters. 2024. Vol. 51, num. 3, p. e2023GL106285. DOI : 10.1029/2023GL106285.Meta-learning to address diverse Earth observation problems across resolutions
Communications Earth & Environment. 2024. Vol. 5, num. 1, p. 37. DOI : 10.1038/s43247-023-01146-0.Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance
Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing. 2024. Vol. 17, p. 6468 – 6477. DOI : 10.1109/JSTARS.2024.3369876.Avertissement
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2024
Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to action
Frontiers In Nutrition. 2024. Vol. 11, p. 1231070. DOI : 10.3389/fnut.2024.1231070.Mapping drivers of tropical forest loss with satellite image time series and machine learning
Environmental Research Letters. 2024. Vol. 19, num. 6, p. 064053. DOI : 10.1088/1748-9326/ad44b2.Regional uniqueness of tree species composition and response to forest loss and climate change
Nature Communications. 2024. Vol. 15, num. 1, p. 4375. DOI : 10.1038/s41467-024-48276-3.WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models
International Journal Of Computer Vision. 2024. DOI : 10.1007/s11263-024-02026-6.Fungal community composition predicts forest carbon storage at a continental scale
Nature Communications. 2024. Vol. 15, num. 1, p. 2385. DOI : 10.1038/s41467-024-46792-w.Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning
Remote Sensing Of Environment. 2024. Vol. 305, p. 114109. DOI : 10.1016/j.rse.2024.114109.Scalable semantic 3D mapping of coral reefs with deep learning
Methods In Ecology And Evolution. 2024. DOI : 10.1111/2041-210X.14307.Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica
Geophysical Research Letters. 2024. Vol. 51, num. 3, p. e2023GL106285. DOI : 10.1029/2023GL106285.Meta-learning to address diverse Earth observation problems across resolutions
Communications Earth & Environment. 2024. Vol. 5, num. 1, p. 37. DOI : 10.1038/s43247-023-01146-0.Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance
Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing. 2024. Vol. 17, p. 6468 – 6477. DOI : 10.1109/JSTARS.2024.3369876.Avertissement
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2024
Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to action
Frontiers In Nutrition. 2024. Vol. 11, p. 1231070. DOI : 10.3389/fnut.2024.1231070.Mapping drivers of tropical forest loss with satellite image time series and machine learning
Environmental Research Letters. 2024. Vol. 19, num. 6, p. 064053. DOI : 10.1088/1748-9326/ad44b2.Regional uniqueness of tree species composition and response to forest loss and climate change
Nature Communications. 2024. Vol. 15, num. 1, p. 4375. DOI : 10.1038/s41467-024-48276-3.WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models
International Journal Of Computer Vision. 2024. DOI : 10.1007/s11263-024-02026-6.Fungal community composition predicts forest carbon storage at a continental scale
Nature Communications. 2024. Vol. 15, num. 1, p. 2385. DOI : 10.1038/s41467-024-46792-w.Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning
Remote Sensing Of Environment. 2024. Vol. 305, p. 114109. DOI : 10.1016/j.rse.2024.114109.Scalable semantic 3D mapping of coral reefs with deep learning
Methods In Ecology And Evolution. 2024. DOI : 10.1111/2041-210X.14307.Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica
Geophysical Research Letters. 2024. Vol. 51, num. 3, p. e2023GL106285. DOI : 10.1029/2023GL106285.Meta-learning to address diverse Earth observation problems across resolutions
Communications Earth & Environment. 2024. Vol. 5, num. 1, p. 37. DOI : 10.1038/s43247-023-01146-0.Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance
Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing. 2024. Vol. 17, p. 6468 – 6477. DOI : 10.1109/JSTARS.2024.3369876.Avertissement
– Infoscience is not returning valid data. Please try again later or set a more precise and limited search.
– This is cached data, the list may be obsolete.
2024
Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to action
Frontiers In Nutrition. 2024. Vol. 11, p. 1231070. DOI : 10.3389/fnut.2024.1231070.Mapping drivers of tropical forest loss with satellite image time series and machine learning
Environmental Research Letters. 2024. Vol. 19, num. 6, p. 064053. DOI : 10.1088/1748-9326/ad44b2.Regional uniqueness of tree species composition and response to forest loss and climate change
Nature Communications. 2024. Vol. 15, num. 1, p. 4375. DOI : 10.1038/s41467-024-48276-3.WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models
International Journal Of Computer Vision. 2024. DOI : 10.1007/s11263-024-02026-6.Fungal community composition predicts forest carbon storage at a continental scale
Nature Communications. 2024. Vol. 15, num. 1, p. 2385. DOI : 10.1038/s41467-024-46792-w.Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning
Remote Sensing Of Environment. 2024. Vol. 305, p. 114109. DOI : 10.1016/j.rse.2024.114109.Scalable semantic 3D mapping of coral reefs with deep learning
Methods In Ecology And Evolution. 2024. DOI : 10.1111/2041-210X.14307.Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica
Geophysical Research Letters. 2024. Vol. 51, num. 3, p. e2023GL106285. DOI : 10.1029/2023GL106285.Meta-learning to address diverse Earth observation problems across resolutions
Communications Earth & Environment. 2024. Vol. 5, num. 1, p. 37. DOI : 10.1038/s43247-023-01146-0.Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance
Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing. 2024. Vol. 17, p. 6468 – 6477. DOI : 10.1109/JSTARS.2024.3369876.Avertissement
– Infoscience is not returning valid data. Please try again later or set a more precise and limited search.
– This is cached data, the list may be obsolete.