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Clustervision: Visual Supervision of Unsupervised Clustering.

, , , , , , and . IEEE Trans. Vis. Comput. Graph., 24 (1): 142-151 (2018)

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Relations of brain volumes with cognitive function in males 45 years and older with past lead exposure., , , , , , and . NeuroImage, 37 (2): 633-641 (2007)TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records., , , , , , , and . CoRR, (2019)Causal Regularization., , , , , and . CoRR, (2017)TASTE: temporal and static tensor factorization for phenotyping electronic health records., , , , , , , and . CHIL, page 193-203. ACM, (2020)Viewpoint Paper: EHR Safety: The Way Forward to Safe and Effective Systems., , , , , , , and . JAMIA, 15 (3): 272-277 (2008)LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity., , , , and . KDD, page 1315-1324. ACM, (2017)RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism., , , , and . CoRR, (2016)SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping., , , , , , , and . KDD, page 2080-2089. ACM, (2018)Limestone: High-throughput candidate phenotype generation via tensor factorization., , , , , , and . J. Biomed. Informatics, (2014)MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare., , , and . NeurIPS, page 4552-4562. (2018)