8 citations · 17 across the 6 of their papers we have counts for
8 papers
Why Don't Prompt-Based Fairness Metrics Correlate?
Abdelrahman Zayed, Goncalo Mordido, Ioana Baldini +1
The widespread use of large language models has brought up essential questions about the potential biases these models might learn. This led to the development of several metrics a…
Fairness-Aware Structured Pruning in Transformers
Abdelrahman Zayed, Goncalo Mordido, Samira Shabanian +2
The increasing size of large language models (LLMs) has introduced challenges in their training and inference. Removing model components is perceived as a solution to tackle the la…
Should We Attend More or Less? Modulating Attention for Fairness
Abdelrahman Zayed, Goncalo Mordido, Samira Shabanian +1
The advances in natural language processing (NLP) pose both opportunities and challenges. While recent progress enables the development of high-performing models for a variety of t…
Fast Strain Estimation and Frame Selection in Ultrasound Elastography using Machine Learning
Abdelrahman Zayed, Hassan Rivaz
Ultrasound Elastography aims to determine the mechanical properties of the tissue by monitoring tissue deformation due to internal or external forces. Tissue deformations are estim…
Rapid Quantification of White Matter Disconnection in the Human Brain
Abdelrahman Zayed, Yasser Iturria-Medina, Arno Villringer +2
With an estimated five million new stroke survivors every year and a rapidly aging population suffering from hyperintensities and diseases of presumed vascular origin that affect w…
Automatic Frame Selection using CNN in Ultrasound Elastography
Abdelrahman Zayed, Guy Cloutier, Hassan Rivaz
Ultrasound elastography is used to estimate the mechanical properties of the tissue by monitoring its response to an internal or external force. Different levels of deformation are…