Amisha Bharti

Multi-label classification with extreme learning machine and twin support vector machine: a novel hybrid framework

This work proposes a novel hybrid approach that combines the strengths of the extreme learning machine (ELM) and the twin support vector machine (TSVM) to address the challenges of robustness and scalability in multi-label classification, particularly in settings where deep learning is not practical due to limited training instances.