GeFeS: A generalized wrapper feature selection approach for optimizing classification performance-Reference-Cited by-同舟云学术

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GeFeS: A generalized wrapper feature selection approach for optimizing classification performance

Published:2020-10 Issue: Volume:125 Page:103974
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Sahebi Golnaz,Movahedi Parisa,Ebrahimi Masoumeh,Pahikkala Tapio,Plosila Juha,Tenhunen Hannu

Funder

K. Albin Johanssons Stiftelse

Turun Yliopisto

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference52 articles.

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4. Deep learning for medical image processing: overview, challenges and the future, calssification in BioApps;Razzak;Lecture Notes in Computational Vision and Biomechanics,2017

5. Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-free Affect Detection?;Jiang,2018

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