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Automatic detection of depression has attracted increasing attention from researchers in psychology, computer science, linguistics, and related disciplines.As a result, promising depression detection systems have been reported.This paper surveys these efforts by presenting the first cross-modal review of depression detection systems and discusses best practices and most promising approaches to this task.
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Stored only when both papers are in the corpus — 41 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.