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Social action tracking via noise tolerant time-varying factor graphs.

, , , , and . KDD, page 1049-1058. ACM, (2010)

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Dynamic Social Influence Analysis through Time-Dependent Factor Graphs., , , and . ASONAM, page 239-246. IEEE Computer Society, (2011)HiCOO: hierarchical storage of sparse tensors., , and . SC, page 19:1-19:15. IEEE / ACM, (2018)Computational models for social influence analysis: extended abstract., and . WWW (Companion Volume), page 205-206. ACM, (2014)Doctor AI: Predicting Clinical Events via Recurrent Neural Networks., , , , and . MLHC, volume 56 of JMLR Workshop and Conference Proceedings, page 301-318. JMLR.org, (2016)Centralities in Large Networks: Algorithms and Observations., , , and . SDM, page 119-130. SIAM / Omnipress, (2011)iMet: Interactive Metric Learning in Healthcare Applications., , , and . SDM, page 944-955. SIAM / Omnipress, (2011)Social influence analysis in large-scale networks., , , and . KDD, page 807-816. ACM, (2009)Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization., , and . KDD, page 115-124. ACM, (2014)FLASH: Fast Bayesian Optimization for Data Analytic Pipelines., , , and . KDD, page 2065-2074. ACM, (2016)Social action tracking via noise tolerant time-varying factor graphs., , , , and . KDD, page 1049-1058. ACM, (2010)