6 papers
From Black-Box to Clinical Insight: A Multi-Stage Explainable Framework for Speech-Based Cognitive Impairment Detection
Yasaman Haghbin, Sina Rashidi, Ali Zolnour +6
Speech-based cognitive impairment detection offers a noninvasive, accessible alternative to costly biomarker assays, yet transformer-based models remain clinically uninterpretable.…
The Voice of Equity: A Systematic Evaluation of Bias Mitigation Techniques for Speech-Based Cognitive Impairment Detection Across Architectures and Demographics
Yasaman Haghbin, Sina Rashidi, Ali Zolnour +1
Speech-based detection of cognitive impairment offers a scalable, non-invasive screening, yet algorithmic bias across demographic and linguistic subgroups remains critically undere…
National Institute on Aging PREPARE Challenge: Early Detection of Cognitive Impairment Using Speech -- The SpeechCARE Solution
Maryam Zolnoori, Hossein Azadmaleki, Yasaman Haghbin +6
Alzheimer's disease and related dementias (ADRD) affect one in five adults over 60, yet more than half of individuals with cognitive decline remain undiagnosed. Speech-based assess…
LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data
Ali Zolnour, Hossein Azadmaleki, Yasaman Haghbin +13
Alzheimer's disease and related dementias(ADRD) affect nearly five million older adults in the United States, yet more than half remain undiagnosed. Speech-based natural language p…
Speech-Based Cognitive Screening: A Systematic Evaluation of LLM Adaptation Strategies
Fatemeh Taherinezhad, Mohamad Javad Momeni Nezhad, Sepehr Karimi +6
Over half of US adults with Alzheimer disease and related dementias remain undiagnosed, and speech-based screening offers a scalable detection approach. We compared large language…
Feature-to-Image Data Augmentation: Improving Model Feature Extraction with Cluster-Guided Synthetic Samples
Yasaman Haghbin, Hadi Moradi, Reshad Hosseini
One of the growing trends in machine learning is the use of data generation techniques, since the performance of machine learning models is dependent on the quantity of the trainin…