Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

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This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...

Abstract: The incorporation of reconfigurable intelligent surface (RIS) into cell-free (CF) networks is a promising paradigm to improve the network coverage and energy efficiency (EE). This letter ...

Abstract: Influence maximization (IM) aims to select a seed set of users that maximizes the expected influence spread and is a fundamental problem in social network analysis. The dynamic and complex ...