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cs.DB2022
AI Assistants: A Framework for Semi-Automated Data Wrangling
Tomas Petricek, Gerrit J. J. van den Burg, Alfredo Nazábal +3
Data wrangling tasks such as obtaining and linking data from various sources, transforming data formats, and correcting erroneous records, can constitute up to 80% of typical data…
cs.LG2022
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling
Taha Ceritli, Andrew P. Creagh, David A. Clifton
A particular challenge for disease progression modeling is the heterogeneity of a disease and its manifestations in the patients. Existing approaches often assume the presence of a…