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Researcher
Felipe Kenji Nakano
- Disciplines:Laboratory medicine, Palliative care and end-of-life care, Regenerative medicine, Other basic sciences, Other health sciences, Nursing, Other paramedical sciences, Other translational sciences, Other medical and health sciences
Affiliations
- Public Health and Primary Care, Kulak Kortrijk Campus (Department)
Member
From15 Oct 2018 → Today
Projects
1 - 2 of 2
- Novel tree-ensemble based methods for weakly-supervised structured output prediction with applications in biomedicineFrom1 Oct 2023 → TodayFunding: FWO junior postdoctoral fellowship
- Interpretable predictive models for biomedical applications with structured outputsFrom16 Oct 2018 → 14 Nov 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 13
- Online Extra Trees Regressor(2023)
Authors: Felipe Kenji Nakano, Celine Vens
- Active Learning for Survival Analysis with Incrementally Disclosed Label Information(2023)
Authors: Klest Dedja, Felipe Kenji Nakano, Celine Vens
Pages: 46 - 64 - PT-MESS: a Problem-Transformation approach for Multi-Event Survival analySis(2023)
Authors: Michela Venturini, Felipe Kenji Nakano, Celine Vens
Number of pages: 6 - An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering(2023)
Authors: Alireza Gharahighehi, Felipe Kenji Nakano, Celine Vens
Pages: 531 - 545 - BELLATREX: Building Explanations Through a LocaLly AccuraTe Rule EXtractor(2023)
Authors: Klest Dedja, Felipe Kenji Nakano, Celine Vens
Pages: 41348 - 41367 - Leveraging class hierarchy for detecting missing annotations on hierarchical multi-label classification(2022)
Authors: Felipe Kenji Nakano, Celine Vens
- Interpretable predictive models for biomedical applications with structured outputs(2022)
Authors: Felipe Kenji Nakano, Celine Vens, Fabian Guiza Grandas
- Explaining a Random Survival Forest by Extracting a few prototype rules(2022)
Authors: Klest Dedja, Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens
Pages: 451 - 458 - Deep tree-ensembles for multi-output prediction(2022)
Authors: Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens
- Predictive Bi-Clustering Trees for Hierarchical Multi-label Classification(2020)
Authors: Felipe Kenji Nakano, Celine Vens
Pages: 701 - 718