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    Chapter and Conference Paper

    Explaining a Random Survival Forest by Extracting Prototype Rules

    Tree-ensemble algorithms and specifically Random Survival Forests (RSF) have emerged as prominently powerful methods for survival data analysis. Tree-ensembles are very accurate, robust, resilient to overfitti...

    Klest Dedja, Felipe Kenji Nakano… in Machine Learning and Principles and Practi… (2021)

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    Article

    Active learning for hierarchical multi-label classification

    Due to technological advances, a massive amount of data is produced daily, presenting challenges for application areas where data needs to be labelled by a domain specialist or by expensive procedures, in orde...

    Felipe Kenji Nakano, Ricardo Cerri, Celine Vens in Data Mining and Knowledge Discovery (2020)