Searching for interacting features in subset selection

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Finding Statistically Significant Attribute Interactions (2016, background): “Applications to feature selection have been studied in, e.g., [21, 22].”
A review of feature selection methods based on mutual information (2013, background): “However, there are some interesting papers about the interaction among variables that use this concept [5, 30, 42, 68].”
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data (2013, background): “, Hall [29], Hall and Smith [30], Yu and Liu [68], [71], Zhao and Liu [72], [73]).”
Relief-Based Feature Selection: Introduction and Review (2017, methodology): “In contrast, very few ﬁlter methods, besides for example, FOCUS (Almuallim and Dietterich, 1991) and INTERACT (Zhao and Liu, 2009) that are notably subset evaluation ﬁlters, claim to be able to handle feature interactions.”
A peek into the black box: exploring classifiers by randomization (2014, background): “It should be noted that the task bears a close resemblance to that of finding attribute interactions when analyzing datasets in general, see e.g., Freitas (2001), Jakulin et al. (2003), Zhao and Liu (2007), Zhao and Liu (2009), Chanda et al. (2009).”