Abstract: Explainable ensemble learning combines explainable artificial intelligence (XAI) and ensemble learning (EL) to solve the closed-box problem of EL and provide a clear and transparent ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...
Abstract: Distributed Machine Learning (D-ML), such as Federated Learning (FL) and Split Learning (SL), aims at resolving the limitations of Centralized Machine Learning (C-ML) by enhancing ...
Space-Radiation-Tolerant is a research project by Rishab Nuguru with core principles focused around sustainability in space. RadML was designed to help provide cost efficient solution for COTS ...
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