Behrad Taghibeyglou

According to our database, Behrad Taghibeyglou authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Context is not key: Detecting Alzheimer's disease with both classical and transformer-based neural language models.

Behrad Taghibeyglou, Frank Rudzicz

Nat. Lang. Process. J., 2024

Estimating the severity of obstructive sleep apnea during wakefulness using speech: A review.

Behrad Taghibeyglou, Ivana Culjak, Fatemeh Bagheri, Haarini Suntharalingam, Azadeh Yadollahi

Comput. Biol. Medicine, 2024

Estimating the risk of obstructive sleep apnea during wakefulness using facial images: A review.

Behrad Taghibeyglou, Bernadette Ng, Fatemeh Bagheri, Azadeh Yadollahi

Biomed. Signal Process. Control., 2024

Machine Learning-Enabled Hypertension Screening Through Acoustical Speech Analysis: Model Development and Validation.

Behrad Taghibeyglou, Jaycee M. Kaufman, Yan Fossat

IEEE Access, 2024

Accessible Obstructive Sleep Apnea Screening Using Classical Acoustic Speech Representations.

Behrad Taghibeyglou, Alexander Chow, Parker Mclaurin, Oviga Yasokaran, Rene Adams, Majida Mohammed, Mandeep Singh, Najib Ayas, Sachin R. Pendharkar, Fernanda R. Almeida, Valeria Rac, Azadeh Yadollahi

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

EOG Artifact Removal from Single and Multi-channel EEG Recordings through the combination of Long Short-Term Memory Networks and Independent Component Analysis.

Behrad Taghibeyglou, Fatemeh Bagheri

CoRR, 2023

Predicting Treatment Outcomes in Obstructive Sleep Apnea: A Distribution-based Spectral Analysis of Low-Sampled Snoring Vibrations.

Behrad Taghibeyglou, Tasnia Kamal, Fernanda R. Almeida, Azadeh Yadollahi

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

How to promote equitable sleep care among people experiencing homelessness: An AI-enabled person-centred computer vision-based solution.

Behrad Taghibeyglou

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Who needs context? Classical techniques for Alzheimer's disease detection.

Behrad Taghibeyglou, Frank Rudzicz

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023