Intention-use gaps and displacement of valued activities predict social media regret more strongly than duration, with pre-session context generalizing across users and physiological signals adding person-specific predictive power.
Hosmer and Stanley Lemeshow
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A cluster-induced distribution shift simulation framework is proposed and used to evaluate six batch adaptation strategies including cluster-local ADWIN on five benchmark datasets.
Compares Markov chain, beta regression and multinomial logistic regression for loan default term-structures on mortgage data and reports successive outperformance plus new diagnostics.
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Before You Scroll Again: Predicting Regretful Social Media Sessions from In-the-Wild Contextual and Wearable Sensing
Intention-use gaps and displacement of valued activities predict social media regret more strongly than duration, with pre-session context generalizing across users and physiological signals adding person-specific predictive power.
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Cluster-Specific Localized Drift Detection for Efficient Batch Model Adaptation under Controlled Distribution Shift
A cluster-induced distribution shift simulation framework is proposed and used to evaluate six batch adaptation strategies including cluster-local ADWIN on five benchmark datasets.
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Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework
Compares Markov chain, beta regression and multinomial logistic regression for loan default term-structures on mortgage data and reports successive outperformance plus new diagnostics.