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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski