Abstract: Class imbalance occurs frequently in machine learning, particularly in binary classification tasks where the majority class has a significantly larger number of samples than the minority ...
Abstract: This letter presents a novel decentralized matching algorithm (DEMA) for pairing data and algorithm providers in AI ecosystems. DEMA addresses scalability, stability, and matching utility ...
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