Abstract: Highlights•Classification of fusion methods into mono- and multi-category approaches.•Identification of multi-category fusion methods with unified architectures.•Evaluation of fusion performance using benchmark datasets and objective metrics.•Discussion of challenges in generalization, interpretability, and multi-view fusion.
External IDs:dblp:journals/inffus/CachinBernardBRAD26
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