Frontiers

A hierarchical multi-class classification system for face and text datasets

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...
Medical Xpress

Proposed algorithm to assess and de-label false penicillin allergy labels

A team of Monash University researchers have successfully piloted an algorithm to identify incorrect penicillin allergy labels and educate patients presenting to community pharmacies. Patients are ...
Scientific Research Publishing

Lessmann, S., et al. (2015) Benchmarking State-of-the-Art Classification Algorithms for Credit Scoring. Journal of the Operational Research Society, 66, 743-755.

ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...
IEEE

Multi Label Classification Algorithm Based on Conditional Local Correlations among Labels and Ensemble Learning

Abstract: Multi-Label Classification (MLC) is an advanced form of traditional classification, where each data instance is simultaneously associated with multiple labels. The importance of MLC has ...
IEEE

Comparative Analysis of Multi-label Classification Algorithms

Abstract: Multi-label classification has generated enthusiasm in many fields over the last few years. It allows the classifications of dataset where each instance can be associated with one or more ...