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3 Result(s)

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  1. No Access

    Chapter and Conference Paper

    An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering

    Recommender systems are information retrieval methods that predict user preferences to personalize services. These systems use the feedback and the ratings provided by users to model the behavior of users and ...

    Alireza Gharahighehi, Felipe Kenji Nakano… in Intelligent Systems and Applications (2023)

  2. No Access

    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)

  3. No Access

    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)