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Deviation-based Dynamic Time Warping for Clustering Human Sleep.

, , , and . BIOSIGNALS, page 88-95. SciTePress, (2016)

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PARAS: interactive parameter space exploration for association rule mining., , , , , , and . SIGMOD Conference, page 1017-1020. ACM, (2013)Mining Expressive Temporal Associations from Complex Data., and . MLDM, volume 3587 of Lecture Notes in Computer Science, page 384-394. Springer, (2005)Regression, Classification and Ensemble Machine Learning Approaches to Forecasting Clinical Outcomes in Ischemic Stroke., , , and . BIOSTEC (Selected Papers), volume 881 of Communications in Computer and Information Science, page 376-402. Springer, (2017)The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS., , , and . EDM, page 147-156. www.educationaldatamining.org, (2008)Distance-enhanced association rules for gene expression., , and . BIOKDD, page 34-40. (2003)Logic Knowledge Bases With Two Default Rules., and . Ann. Math. Artif. Intell., 22 (3-4): 333-361 (1998)Semi-Markov Modeling-Clustering of Human Sleep with Efficient Initialization and Stopping., , , and . BIOSIGNALS, page 61-68. SciTePress, (2014)Combining Closed World Assumptions with Stable Negation., and . Fundam. Informaticae, 32 (2): 163-181 (1997)Using Personality Traits and Chronotype to Support Personalization and Feedback in a Sleep Health Behavior Change Support System., , , , and . HICSS, page 1-9. ScholarSpace / AIS Electronic Library (AISeL), (2018)Using a Key Informant Focus Group, Formative User Testing, and Theory to Guide Design of a Sleep Health BCSS., , , and . HICSS, page 1-10. ScholarSpace / AIS Electronic Library (AISeL), (2017)