Papers by Serguei V. S. Pakhomov
Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking (2025.acl-long)
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| Challenge: | Pre-trained neural language models fine-tuned on AD transcripts perform well, but little research has explored the effects of the gender of the speakers represented by these transcripts. |
| Approach: | They propose to use the Extended Confounding Filter and the Dual Filter to isolate and ablate weights associated with gender in dementia datasets. |
| Outcome: | The proposed methods overfit to training data distributions and disrupt gender-related weights, with the trade-off of slightly reduced dementia detection performance. |