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Social media mining under the COVID-19 context: Progress, challenges, and opportunities.

, , , , , , , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)

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Unsupervised Change Detection Using Fuzzy Topology-Based Majority Voting., , , and . Remote. Sens., 13 (16): 3171 (2021)A deep-learning approach for modelling pedestrian movement uncertainty in large- scale indoor areas., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Social media mining under the COVID-19 context: Progress, challenges, and opportunities., , , , , , , , , and 5 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2022)Identifying flash flood hotspots with explainable machine learning using urban features., , and . UrbanAI@SIGSPATIAL, page 6-9. ACM, (2023)Novel Multiscale Decision Fusion Approach to Unsupervised Change Detection for High-Resolution Images., , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)ML4EJ: Decoding the Role of Urban Features in Shaping Environmental Injustice Using Interpretable Machine Learning., , , and . CoRR, (2023)Rethinking Urban Flood Risk Assessment By Adapting Health Domain Perspective., , and . CoRR, (2024)STLP-GSM: a method to predict future locations of individuals based on geotagged social media data., , , , and . Int. J. Geogr. Inf. Sci., 33 (12): 2337-2362 (2019)Recommending attractive thematic regions by semantic community detection with multi-sourced VGI data., , , and . Int. J. Geogr. Inf. Sci., 33 (8): 1520-1544 (2019)Analysis of the performance and robustness of methods to detect base locations of individuals with geo-tagged social media data., , , , , and . Int. J. Geogr. Inf. Sci., 35 (3): 609-627 (2021)