Felipe Kenji Nakano

29 papers A* 1B 4C 2Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
Oxytrees: Model Trees for Bipartite Learning.
AAAI
Pedro Ilídio, Felipe Kenji Nakano, Alireza Gharahighehi, Robbe D'hondt, Ricardo Cerri, Celine Vens
2025 B conf
Active semi-supervised learning for multi-target regression.
IJCNN
Maira Farias Andrade Lira, Luisa Cavalcante, Celine Vens, Ricardo B. C. Prudêncio, Felipe Kenji Nakano
2025 C conf
Inductive models for structured output prediction of lncRNA-disease associations.
CIBCB
Felipe Kenji Nakano, Livia Bertoni, Ricardo Cerri, Celine Vens
2025 J jnl
Oxytrees: Model Trees for Bipartite Learning.
CoRR
Pedro Ilídio, Felipe Kenji Nakano, Alireza Gharahighehi, Robbe D'hondt, Ricardo Cerri, Celine Vens
2025 J jnl
Pairwise and Attribute-Aware Decision Tree-Based Preference Elicitation for Cold-Start Recommendation.
CoRR
Alireza Gharahighehi, Felipe Kenji Nakano, Xuehua Yang, Wenhan Cu, Celine Vens
2024 B conf
Deep forests with tree-embeddings and label imputation for weak-label learning.
IJCNN
Pedro Ilídio, Ricardo Cerri, Celine Vens, Felipe Kenji Nakano
2024 — conf
ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models.
BEA
Anaïs Tack, Siem Buseyne, Changsheng Chen, Robbe D'hondt, Michiel De Vrindt, Alireza Gharahighehi, Sameh Metwaly, Felipe Kenji Nakano, Ann-Sophie Noreillie
2024 — conf
Personalized Learning in K-12 Education: Exploring Weak-Labels for a Random Forest-based Collaborative Filtering Approach.
ALL@AIED
Pedro Ilídio, Alireza Gharahighehi, Felipe Kenji Nakano, Celine Vens
2024 J jnl
Predicting adverse long-term neurocognitive outcomes after pediatric intensive care unit admission.
Comput. Methods Programs Biomed.
Felipe Kenji Nakano, Karolijn Dulfer, Ilse Vanhorebeek, Pieter J. Wouters, Sascha C. Verbruggen, Koen F. Joosten, Fabian Güiza Grandas, Celine Vens, Greet Van den Berghe
2023 — conf
Active Learning for Survival Analysis with Incrementally Disclosed Label Information.
IAL@PKDD/ECML
Klest Dedja, Felipe Kenji Nakano, Celine Vens
2023 J jnl
BELLATREX: Building Explanations Through a LocaLly AccuraTe Rule EXtractor.
IEEE Access
Klest Dedja, Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens
2023 J jnl
Leveraging class hierarchy for detecting missing annotations on hierarchical multi-label classification.
Comput. Biol. Medicine
Miguel Romero, Felipe Kenji Nakano, Jorge Finke, Camilo Rocha, Celine Vens
2023 J jnl
Online Extra Trees Regressor.
IEEE Trans. Neural Networks Learn. Syst.
Saulo Martiello Mastelini, Felipe Kenji Nakano, Celine Vens, André Carlos Ponce de Leon Ferreira de Carvalho
2022 — conf
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering.
IntelliSys (1)
Alireza Gharahighehi, Felipe Kenji Nakano, Celine Vens
2022 J jnl
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering.
CoRR
Alireza Gharahighehi, Felipe Kenji Nakano, Celine Vens
2022 J jnl
Deep tree-ensembles for multi-output prediction.
Pattern Recognit.
Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens
2022 J jnl
Explaining random forest prediction through diverse rulesets.
CoRR
Klest Dedja, Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens
2022 J jnl
Hierarchy exploitation to detect missing annotations on hierarchical multi-label classification.
CoRR
Miguel Romero, Felipe Kenji Nakano, Jorge Finke, Camilo Rocha, Celine Vens
2021 — conf
Explaining a Random Survival Forest by Extracting Prototype Rules.
PKDD/ECML Workshops (2)
Klest Dedja, Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens
2020 J jnl
Active learning for hierarchical multi-label classification.
Data Min. Knowl. Discov.
Felipe Kenji Nakano, Ricardo Cerri, Celine Vens
2020 J jnl
Deep tree-ensembles for multi-output prediction.
CoRR
Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens
2020 — conf
Predictive Bi-clustering Trees for Hierarchical Multi-label Classification.
ECML/PKDD (3)
Bruna Zamith Santos, Felipe Kenji Nakano, Ricardo Cerri, Celine Vens
2019 — conf
Hierarchical Classification of Transposable Elements.
BNAIC/BENELEARN
Felipe Kenji Nakano, Ricardo Cerri
2019 J jnl
Machine learning for discovering missing or wrong protein function annotations - A comparison using updated benchmark datasets.
BMC Bioinform.
Felipe Kenji Nakano, Mathias Lietaert, Celine Vens
2019 J jnl
Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach.
J. Signal Process. Syst.
Saulo Martiello Mastelini, Victor Guilherme Turrisi da Costa, Everton Jose Santana, Felipe Kenji Nakano, Rodrigo Capobianco Guido, Ricardo Cerri, Sylvio Barbon Junior
2018 B conf
Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks.
IJCNN
Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri
2018 — conf
Strategies for Selection of Positive and Negative Instances in the Hierarchical Classification of Transposable Elements.
BRACIS
Bruna Zamith Santos, Gean Trindade Pereira, Felipe Kenji Nakano, Ricardo Cerri
2017 C conf
Stacking Methods for Hierarchical Classification.
ICMLA
Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri
2017 B conf
Top-down strategies for hierarchical classification of transposable elements with neural networks.
IJCNN
Felipe Kenji Nakano, Walter José G. S. Pinto, Gisele Lobo Pappa, Ricardo Cerri