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In the absence of the labeled samples in a domain referred to as target domain, Domain Adaptation (DA) techniques come in handy. Generally, DA techniques assume there are available source domains that share similar predictive function with the target domain. Two core challenges of DA typically arise, variance that exists between source and target domains, and the inherent source hypothesis bias. In this paper, we first propose a Stability Transfer criterion for selecting relevant source domainsdoi:10.1109/icdm.2012.77 dblp:conf/icdm/SeahTOM12 fatcat:zz3r5aj6qrcc5mee3ltqhuhuly