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Interpretable Multimodal Classification with Linear Discriminant Tree Ensembles
arXiv:2608.20384v1 Announce Type: new Abstract: Multimodal affect and behaviour classifiers that fuse heterogeneous text, audio, and visual streams must simultaneously achieve competitive accuracy and produce humanunderstandable explanations of the cues driving their decisions a dual objective...
arXiv:2608.20384v1 Announce Type: new Abstract: Multimodal affect and behaviour classifiers that fuse heterogeneous text, audio, and visual streams must simultaneously achieve competitive accuracy and produce humanunderstandable explanations of the cues driving their decisions a dual objective that current highcapacity models, notably Transformers, only partially address.
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