Sina Rashidi

Orcid: 0000-0001-8098-9709

According to our database1, Sina Rashidi authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
The Voice of Equity: A Systematic Evaluation of Bias Mitigation Techniques for Speech-Based Cognitive Impairment Detection Across Architectures and Demographics.
CoRR, January, 2026

TransformerCARE: A novel speech analysis pipeline using transformer-based models and audio augmentation techniques for cognitive impairment detection.
Int. J. Medical Informatics, 2026

2025
Improving Direct Persian-English Speech-to-Speech Translation with Discrete Units and Synthetic Parallel Data.
CoRR, November, 2025

National Institute on Aging PREPARE Challenge: Early Detection of Cognitive Impairment Using Speech - The SpeechCARE Solution.
CoRR, November, 2025

Speech-Based Cognitive Screening: A Systematic Evaluation of LLM Adaptation Strategies.
CoRR, September, 2025

LLMCARE: Alzheimer's Detection via Transformer Models Enhanced by LLM-Generated Synthetic Data.
CoRR, August, 2025

SpeechCARE: dynamic multimodal modeling for cognitive screening in diverse linguistic and speech task contexts.
npj Digit. Medicine, 2025

LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data.
Frontiers Artif. Intell., 2025

SpeechCura: A Novel Speech Augmentation Framework to Tackle Data Scarcity in Healthcare.
Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

SpeechCARE: Harnessing Multimodal Innovation to Transform Cognitive Impairment Detection - Insights from the National Institute on Aging Alzheimer's Speech Challenge.
Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

2023
A new approach to mechanical brittleness index modeling based on conventional well logs using hybrid algorithms.
Earth Sci. Informatics, December, 2023

A Comparison Study on the Learning Effectiveness of Construction Training Scenarios in a Virtual Reality Environment.
Virtual Worlds, 2023


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