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Time series classification for the prediction of dialysis in critically ill patients using echo state networks

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Time series, Classification, IBCN, ROC, SYSTEMS, TUTORIAL, SPEECH RECOGNITION, SUPPORT VECTOR MACHINES, HIDDEN MARKOV-MODELS, Dialysis, Feature extraction and selection, Echo state network

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Citation

Please use this url to cite or link to this publication:

Chicago
Ongenae, Femke, Stijn Van Looy, David Verstraeten, Thierry Verplancke, Dominique Benoit, Filip De Turck, Tom Dhaene, Benjamin Schrauwen, and Johan Decruyenaere. 2013. “Time Series Classification for the Prediction of Dialysis in Critically Ill Patients Using Echo State Networks.” Engineering Applications of Artificial Intelligence 26 (3): 984–996.
APA
Ongenae, F., Van Looy, S., Verstraeten, D., Verplancke, T., Benoit, D., De Turck, F., Dhaene, T., et al. (2013). Time series classification for the prediction of dialysis in critically ill patients using echo state networks. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 26(3), 984–996.
Vancouver
1.
Ongenae F, Van Looy S, Verstraeten D, Verplancke T, Benoit D, De Turck F, et al. Time series classification for the prediction of dialysis in critically ill patients using echo state networks. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 2013;26(3):984–96.
MLA
Ongenae, Femke, Stijn Van Looy, David Verstraeten, et al. “Time Series Classification for the Prediction of Dialysis in Critically Ill Patients Using Echo State Networks.” ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 26.3 (2013): 984–996. Print.
@article{3260114,
  author       = {Ongenae, Femke and Van Looy, Stijn and Verstraeten, David and Verplancke, Thierry and Benoit, Dominique and De Turck, Filip and Dhaene, Tom and Schrauwen, Benjamin and Decruyenaere, Johan},
  issn         = {0952-1976},
  journal      = {ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE},
  language     = {eng},
  number       = {3},
  pages        = {984--996},
  title        = {Time series classification for the prediction of dialysis in critically ill patients using echo state networks},
  url          = {http://dx.doi.org/10.1016/j.engappai.2012.09.019},
  volume       = {26},
  year         = {2013},
}

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