Felipe Kenji Nakano
Felipe Kenji Nakano
PhD Student KU Leuven KULAK
Verified email at kuleuven.be
Title
Cited by
Cited by
Year
Top-down strategies for hierarchical classification of transposable elements with neural networks
FK Nakano, WJ Pinto, GL Pappa, R Cerri
2017 International Joint Conference on Neural Networks (IJCNN), 2539-2546, 2017
182017
Multi-output tree chaining: An interpretative modelling and lightweight multi-target approach
SM Mastelini, VGT da Costa, EJ Santana, FK Nakano, RC Guido, R Cerri, ...
Journal of Signal Processing Systems 91 (2), 191-215, 2019
92019
Stacking Methods for Hierarchical Classification
FK Nakano, M Saulo, S Barbon, R Cerri
2017 16th IEEE International Conference on Machine Learning and Applications …, 2017
92017
Machine learning for discovering missing or wrong protein function annotations
FK Nakano, M Lietaert, C Vens
BMC bioinformatics 20 (1), 485, 2019
72019
Improving hierarchical classification of transposable elements using deep neural networks
FK Nakano, SM Mastelini, S Barbon, R Cerri
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
72018
Strategies for selection of positive and negative instances in the hierarchical classification of transposable elements
BZ Santos, GT Pereira, FK Nakano, R Cerri
2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 420-425, 2018
42018
Denoising Auto-Encoders as Feature Extractors in Hierarchical Classification Problems
FK Nakano, R Cerri
XIV Encontro Nacional de Inteligência Artificial e Computacional, 2017
12017
Avaliação de algoritmos de descoberta de processos
FK NAKANO
12016
Active learning for hierarchical multi-label classification
FK Nakano, R Cerri, C Vens
Data Mining and Knowledge Discovery, 1-35, 2020
2020
Hierarchical Classification of Transposable Elements.
FK Nakano, R Cerri
BNAIC/BENELEARN, 2019
2019
Deep learning para classificação hierárquica de elementos transponíveis
FK Nakano
Universidade Federal de São Carlos, 2018
2018
Clus Active-Learning-User Guide-version.
FK Nakano
AVALIAÇÃO DE ALGORITMOS DE MINERAÇÃO DE PROCESSOS
FK NAKANO
Avaliaç ao de algoritmos de mineraç ao de processos
FK Nakano, S Barbon
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Articles 1–14