Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response

Research article (Big Data, 2016) · cited 159× · AI/ML
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Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response

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Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-human-computing-and-machine-learning-to-make-sense-of-big-aerial-data-for-disaster-response
MLA “Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-human-computing-and-machine-learning-to-make-sense-of-big-aerial-data-for-disaster-response.
BibTeX @misc{4ortxyz_combining-human-computing-and-machine-learning-to-make-sense-of-big-aerial-data-for-disaster-response_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response}}, year = {2026}, url = {https://4ort.xyz/entity/combining-human-computing-and-machine-learning-to-make-sense-of-big-aerial-data-for-disaster-response}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response — https://4ort.xyz/entity/combining-human-computing-and-machine-learning-to-make-sense-of-big-aerial-data-for-disaster-response (retrieved 2026-05-24)

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