Research interests

Natural language processing, fairness, and medical imaging.

Publications

Fairness-Aware Structured Pruning in Transformers.
A. Zayed, Goncalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar
The thirty-eighth Association for the Advancement of Artificial Intelligence (AAAI 2024).
[arXiv] [slides] [video]
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness.
A. Zayed, Prasanna Parthasarathi, Goncalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar
The thirty-seventh Association for the Advancement of Artificial Intelligence (AAAI 2023).
[arXiv] [slides] [video]
Ultrasound Elastography using Machine Learning.
A. Zayed
Master's Thesis, 2020.
[Link]
Fast Strain Estimation and Frame Selection in Ultrasound Elastography using Machine Learning.
A. Zayed and H. Rivaz.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (TUFFC), 2020.
[Link] [code]
Automatic Frame Selection using CNN in Ultrasound Elastography.
A. Zayed, G. Cloutier and H. Rivaz
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2020.
[arXiv]
Rapid Quantification of White Matter Disconnection in the Human Brain.
A. Zayed, Y. Iturria-Medina, A. Villringer, B. Sehm and C. Steele
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2020.
[arXiv]
Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography.
A. Zayed and H. Rivaz.
International Conference on Image Analysis and Recognition (ICIAR), 2019.
[arXiv]
Fast approximate time-delay estimation in ultrasound elastography using principal component analysis.
A. Zayed and H. Rivaz.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2019.
[arXiv]