E-LIB Suche - Ergebnisse für: Nakano, Felipe Kenji

1

Predicting adverse long-term neurocognitive outcomes after ..:

Nakano, Felipe Kenji ; Dulfer, Karolijn ; Vanhorebeek, Ilse...
Computer Methods and Programs in Biomedicine. 250 (2024) - p. 108166 , 2024

Link: https://doi.org/10.1016/..

2

Leveraging class hierarchy for detecting missing annotation..:

Romero, Miguel ; Nakano, Felipe Kenji ; Finke, Jorge..
Computers in Biology and Medicine. 152 (2023) - p. 106423 , 2023

Link: https://doi.org/10.1016/..

3

Online Extra Trees Regressor:

Martiello Mastelini, Saulo ; Nakano, Felipe Kenji ; Vens, Celine.
IEEE Transactions on Neural Networks and Learning Systems. 34 (2023) 10 - p. 6755-6767 , 2023

Link: https://doi.org/10.1109/..

4

BELLATREX: Building Explanations Through a LocaLly AccuraTe..:

Dedja, Klest ; Nakano, Felipe Kenji ; Pliakos, Konstantinos.
IEEE Access. 11 (2023) - p. 41348-41367 , 2023

Link: https://doi.org/10.1109/..

5

An Adaptive Hybrid Active Learning Strategy with Free Ratin..:

, In: Lecture Notes in Networks and Systems; Intelligent Systems and Applications,

Gharahighehi, Alireza ; Nakano, Felipe Kenji ; Vens, Celine - p. 531-545 , 2022

Link: https://doi.org/10.1007/..

6

Deep tree-ensembles for multi-output prediction:

Nakano, Felipe Kenji ; Pliakos, Konstantinos ; Vens, Celine
Pattern Recognition. 121 (2022) - p. 108211 , 2022

Link: https://doi.org/10.1016/..

7

Explaining a Random Survival Forest by Extracting Prototype..:

, In: Communications in Computer and Information Science; Machine Learning and Principles and Practice of Knowledge Discovery in Databases,

Dedja, Klest ; Nakano, Felipe Kenji ; Pliakos, Konstantinos. - p. 451-458 , 2021

Link: https://doi.org/10.1007/..

8

Active learning for hierarchical multi-label classification:

Nakano, Felipe Kenji ; Cerri, Ricardo ; Vens, Celine
Data Mining and Knowledge Discovery. 34 (2020) 5 - p. 1496-1530 , 2020

Link: https://doi.org/10.1007/..

9

Machine learning for discovering missing or wrong protein f..:

Nakano, Felipe Kenji ; Lietaert, Mathias ; Vens, Celine
BMC Bioinformatics. 20 (2019) 1 - p. , 2019

Link: https://doi.org/10.1186/..

10

Multi-Output Tree Chaining: An Interpretative Modelling and..:

Mastelini, Saulo Martiello ; da Costa, Victor Guilherme Turrisi ; Santana, Everton Jose...
Journal of Signal Processing Systems. 91 (2018) 2 - p. 191-215 , 2018

Link: https://doi.org/10.1007/..

11

Hierarchy exploitation to detect missing annotations on hie..:

Romero, Miguel ; Nakano, Felipe Kenji ; Finke, Jorge..
http://arxiv.org/abs/2207.06237. , 2022

Link: http://arxiv.org/abs/220..

12

An Adaptive Hybrid Active Learning Strategy with Free Ratin..:

Gharahighehi, Alireza ; Nakano, Felipe Kenji ; Vens, Celine
http://arxiv.org/abs/2203.05954. , 2022

Link: http://arxiv.org/abs/220..

13

BELLATREX: Building Explanations through a LocaLly AccuraTe..:

Dedja, Klest ; Nakano, Felipe Kenji ; Pliakos, Konstantinos.
http://arxiv.org/abs/2203.15511. , 2022

Link: http://arxiv.org/abs/220..

14

Deep tree-ensembles for multi-output prediction:

Nakano, Felipe Kenji ; Pliakos, Konstantinos ; Vens, Celine
http://arxiv.org/abs/2011.02829. , 2020

Link: http://arxiv.org/abs/201..

15

Multi-Output Tree Chaining: An Interpretative Modelling and..:

Mastelini, Saulo Martiello ; da Costa, Victor Guilherme Turrisi ; Santana, Everton Jose...
Journal of Signal Processing Systems. , 2018

Link: http://hdl.handle.net/11..