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E. Provost

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Preprint Sep 2026

Robust Cross-Domain Speech-Based Alzheimer's Disease Detection via Iterative Adversarial Self-Training

A novel unsupervised domain adaptation method, Iterative Adversarial Self-Training (IAST), is proposed and results demonstrate that IAST significantly improves the generalization ability and robustness under various cross-domain settings.

Lu Sun, Shreeram Suresh Chandra, Aurosweta Mahapatra et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Cleaner Speech, Weaker Generalization: Revisiting Pitt-Derived Benchmarks for Alzheimer's Disease Detection

The role of speech preprocessing and dataset curation across widely used benchmarks for speech-based AD detection is revisited, suggesting that ``cleaner''speech datasets are not necessarily more reliable for real-world AD detection.

Lu Sun, Shreeram Suresh Chandra, Lin Zhang et al. · 0 citations

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