Back
  1. Home
  3. Detailed Reference
Download
Paper published in a book (Scientific congresses, symposiums and conference proceedings)
An Efficient Machine Learning Method to Solve Imbalanced Data in Metabolic Disease Prediction
CECCHINI, Vania Filipa; NGUYEN, Thanh-Phuong; PFAU, Thomas et al.
2019 • In CECCHINI, Vania Filipa (Ed.) An Efficient Machine Learning Method to Solve Imbalanced Data in Metabolic Disease Prediction
Peer reviewed
Permalink
https://hdl.handle.net/10993/41512
 

Files (1)Send toDetailsStatisticsBibliographySimilar publications

Files

Full Text
Cecchini_et_al_KSE_2019.pdf
Publisher postprint (583.81 kB)
Download

All documents in ORBilu are protected by a user license.

Send to


Details


Keywords :
metabolic disease; protein-protein interaction network; miRNA-target interaction; machine learning; disease gene prediction; imbalanced data
Disciplines :
Computer science
Author, co-author :
CECCHINI, Vania Filipa ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit
NGUYEN, Thanh-Phuong ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit
PFAU, Thomas ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit
DE LANDTSHEER, Sébastien ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit
SAUTER, Thomas ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit
External co-authors :
no
Language :
English
Title :
An Efficient Machine Learning Method to Solve Imbalanced Data in Metabolic Disease Prediction
Publication date :
2019
Event name :
2019 11TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (KSE)
Event organizer :
IEEE
Event place :
Da Nang City, Vietnam
Event date :
from 24-10-2019 to 26-10-2019
Audience :
International
Main work title :
An Efficient Machine Learning Method to Solve Imbalanced Data in Metabolic Disease Prediction
Author, co-author :
CECCHINI, Vania Filipa 
Publisher :
DA NANG PUBLISHING HOUSE, Da Nang, Vietnam
Edition :
1st ed.
ISBN/EAN :
9781728130026
Pages :
5
Peer reviewed :
Peer reviewed
Focus Area :
Systems Biomedicine
Additional URL :
https://ieeexplore.ieee.org/document/8919337
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
Funders :
FNR - Fonds National de la Recherche
Available on ORBilu :
since 13 January 2020

Statistics

Number of views
186 (44 by Unilu)
Number of downloads
205 (11 by Unilu)
More statistics

Bibliography

Similar publications


Contact ORBilu