Abstract: The research presents a hybrid approach to identify and categorise nutritional deficiency syndrome in citrus leaves using image processing and machine learning. The method includes ...

Abstract: Students’ academic performance prediction has been a significant area of research in educational data mining, in which machine learning (ML) techniques are used to examine data from ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...

Timothy Graham receives funding from the Australian Research Council (ARC) for the Discovery Project, 'Understanding and Combatting "Dark Political Communication"'. A new study published today in ...