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Online algorithm based on support vectors for orthogonal regression.

, , , and . Pattern Recognit. Lett., 34 (12): 1394-1404 (2013)

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Space-Time Drift Point Detection in Mobility Patterns., , , , and . ACM Trans. Spatial Algorithms Syst., 6 (1): 4:1-4:24 (2020)Online algorithm based on support vectors for orthogonal regression., , , and . Pattern Recognit. Lett., 34 (12): 1394-1404 (2013)An Evolutionary Methodology for Handling Data Scarcity and Noise in Monitoring Real Events from Social Media Data., , , , , and . IBERAMIA, volume 8864 of Lecture Notes in Computer Science, page 295-306. Springer, (2014)Spatial Cluster Detection with Social Media Mobility Patterns.. SIGSPATIAL/GIS, page 614-615. ACM, (2019)Detecting Spatial Clusters of Disease Infection Risk Using Sparsely Sampled Social Media Mobility Patterns., , , and . SIGSPATIAL/GIS, page 359-368. ACM, (2019)Infection Hot Spot Mining from Social Media Trajectories., , , , and . ECML/PKDD (2), volume 9852 of Lecture Notes in Computer Science, page 739-755. Springer, (2016)SCPP: A Point Process-based Clustering of Spatial Visiting Patterns., , , and . ACM Trans. Spatial Algorithms Syst., 7 (1): 5:1-5:30 (2020)Uma Estratégia não Supervisionada para Previsão de Eventos usando Redes Sociais., , , , and . SBBD, page 137-148. SBC, (2015)A latent shared-component generative model for real-time disease surveillance using Twitter data., , , and . CoRR, (2015)Antagonism also Flows through Retweets: The Impact of Out-of-Context Quotes in Opinion Polarization Analysis., , , and . CoRR, (2017)