Hamed Fayyaz

11 papers Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Aligning (Medical) LLMs for (Counterfactual) Fairness.
CoRR
Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti
2024 — conf
An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation.
ML4H@NeurIPS
Hamed Fayyaz, Mehak Gupta, Alejandra Perez Ramirez, Claudine Jurkovitz, H. Timothy Bunnell, Thao-Ly T. Phan, Rahmatollah Beheshti
2024 J jnl
An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation.
CoRR
Hamed Fayyaz, Mehak Gupta, Alejandra Perez Ramirez, Claudine Jurkovitz, H. Timothy Bunnell, Thao-Ly T. Phan, Rahmatollah Beheshti
2024 J jnl
Bias patterns in the application of LLMs for clinical decision support: A comprehensive study.
CoRR
Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti
2024 J jnl
Enabling Scalable Evaluation of Bias Patterns in Medical LLMs.
CoRR
Hamed Fayyaz, Raphael Poulain, Rahmatollah Beheshti
2024 — conf
Multimodal Sleep Apnea Detection with Missing or Noisy Modalities.
MLHC
Hamed Fayyaz, Niharika S. D'Souza, Rahmatollah Beheshti
2024 J jnl
Multimodal Sleep Apnea Detection with Missing or Noisy Modalities.
CoRR
Hamed Fayyaz, Abigail Strang, Niharika Shimona D'Souza, Rahmatollah Beheshti
2023 — conf
Bringing At-home Pediatric Sleep Apnea Testing Closer to Reality: A Multi-modal Transformer Approach.
MLHC
Hamed Fayyaz, Abigail Strang, Rahmatollah Beheshti
2022 — conf
Predicting attrition patterns from pediatric weight management programs.
ML4H@NeurIPS
Hamed Fayyaz, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
2022 J jnl
Who will Leave a Pediatric Weight Management Program and When? - A machine learning approach for predicting attrition patterns.
CoRR
Hamed Fayyaz, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
2021 J jnl
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net.
CoRR
Hamed Fayyaz, Ehsan Kozegar, Tao Tan, Mohsen Soryani