Relationships between combination methods and measures of diversity in combining classifiers

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Ensemble Learning (2019, unknown): “Ulaş et al. (2009) discuss two approaches to incrementally constructing an ensemble.”
A survey of multiple classifier systems as hybrid systems (2014, unknown): “Non-pairwise diversity measures comparing outputs of a given classifier and the entire ensemble, such as Kohavi–Wolpert variance [66], a measure of inter-rater (inter-classifier) reliability [67], the entropy measure [68], the measure of difficulty [8], generalized diversity [52], and coincident fai”
Diversity creation methods: a survey and categorisation (2004, background): “In a summary paper of her own work, Kuncheva states: ‘‘although a rough tendency was confirmed. . . no prominent links appeared between the diversity of the ensemble and its accuracy.”