Giza Systems Publishes Its “ML-EvalPro: Machine Learning Evaluation Profiler for Supervised Tasks”

Giza Systems Publishes Its “ML-EvalPro: Machine Learning Evaluation Profiler for Supervised Tasks”

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Giza Systems' latest research paper, “ML-EvalPro: Machine Learning Evaluation Profiler for Supervised Tasks” has been published at the Artificial Intelligence in Medicine (AIME) 2025 conference in Pavia, Italy.
ML-EvalPro, highly relevant for cost-sensitive industries like healthcare, deals with the development of a new evaluation and testing framework for supervised machine learning models, focusing on key aspects beyond accuracy, such as model reliability, environmental impact, robustness against adversarial attacks, regulatory compliance, and ethical use.
This great achievement was made possible by a team of Giza Systems researchers, led by Mohamed Maher, AI Systems Development Section Head:
Reem Ayman – Product Development ML Engineer
Sondos Akram – Product Development ML Engineer
Omar Marie – Product Development ML Engineer
Read the full paper here: https://bit.ly/4oSnRjN