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Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams
This paper introduces a novel approach, evolutionary multi-objective optimisation for fairness-aware self-adjusting memory classifiers, designed to enhance fairness in machine learning algorithms applied to data stream classification.
AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling
However, developing an LLM for problem formulation is challenging, due to training data, token limitations, and lack of appropriate performance metrics.
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