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. Author manuscript; available in PMC: 2024 Mar 1.
Published in final edited form as: Pac Symp Biocomput. 2024;29:327–340.

Fig. 2.

Fig. 2.

Illustration of supervised learning (SL), semi-supervised learning (SSL), supervised domain adaptation (SDA), and semi-supervised domain adaptation (SSDA) in the case of binary classification. Circle and cross markers represent negative and positive classes, opaque and transparent markers represent labeled and unlabeled points, and blue and orange markers represent source and target domains, respectively.