Class-specific kernelized extreme learning machine for binary class imbalance learning
Class-specific kernelized extreme learning machine for binary class imbalance learning is a scholarly work, published in 2018 in ''Applied Soft Computing''. The main subjects of the publication include Gaussian function, artificial intelligence, Gaussian, facial recognition system, class, extreme learning machine, benchmark, machine learning, pattern recognition, and computer science. The work proposed a novel class-specific kernelized ELM (CSKELM) which is a variant of kernelized ELM to address the class imbalance problem more effectively.