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LITMUS: A Multi-Service Composition System for Landslide Detection.

, , and . IEEE Trans. Services Computing, 8 (5): 715-726 (2015)

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LITMUS: A Multi-Service Composition System for Landslide Detection., , and . IEEE Trans. Services Computing, 8 (5): 715-726 (2015)LITMUS: Landslide detection by integrating multiple sources., , and . ISCRAM, ISCRAM Association, (2014)Preliminary research on thesaurus-based query expansion for Twitter data extraction., , and . ACM Southeast Regional Conference, page 14:1-14:4. ACM, (2018)Concept Drift Adaptive Physical Event Detection for Social Media Streams., , and . CoRR, (2019)Fast Text Classification Using Randomized Explicit Semantic Analysis., , , and . IRI, page 364-371. IEEE, (2015)Landslide Detection Service Based on Composition of Physical and Social Information Services., , , and . ICWS, page 97-104. IEEE Computer Society, (2014)Towards Detection of Abnormal Vehicle Behavior Using Traffic Cameras., , , and . BigData Congress, volume 11514 of Lecture Notes in Computer Science, page 125-136. Springer, (2019)Detection of Damage and Failure Events of Road Infrastructure Using Social Media., , , , and . ICWS, volume 10966 of Lecture Notes in Computer Science, page 134-148. Springer, (2018)Multi-hazard Detection by Integrating Social Media and Physical Sensors., , and . Social Media for Government Services, Springer, (2015)Nimbus: Tuning Filters Service on Tweet Streams., , , and . BigData Congress, page 623-630. IEEE Computer Society, (2015)