A comparison of generative and discriminative approaches in automated neonatal seizure detection

Typeset version

 

TY  - CONF
  - Thomas, E.M., Temko, A., Lightbody, G., Marnane, W.P. and Boylan, G.B
  - IEEE International Symposium on Intelligent Signal Processing (WISP2009)
  - A comparison of generative and discriminative approaches in automated neonatal seizure detection
  - 2009
  - August
  - Published
  - 1
  - ()
  - 153
  - 156
  - Budapest, Hungry
  - 26-AUG-09
  - 28-AUG-09
  - Two systems based on different classifiers are compared for the task of neonatal seizure detection. Support vector machines and Gaussian mixture models are presented as examples of discriminative and generative approaches to classification. The performance of both systems is assessed using a number of metrics, the results of which indicate that both systems are competitive with other detectors in the literature. Finally, misclassified events are analysed, from which specific patterns affecting the performance of the detector are identified.
  - 10.1109/WISP.2009.5286564
  - Science Foundation Ireland
  - 05/PICA/I836
DA  - 2009/08
ER  - 
@inproceedings{V60593755,
   = {Thomas, E.M., Temko, A., Lightbody, G., Marnane, W.P. and Boylan, G.B},
   = {IEEE International Symposium on Intelligent Signal Processing (WISP2009)},
   = {{A comparison of generative and discriminative approaches in automated neonatal seizure detection}},
   = {2009},
   = {August},
   = {Published},
   = {1},
   = {()},
  pages = {153--156},
   = {Budapest, Hungry},
  month = {Aug},
   = {28-AUG-09},
   = {{Two systems based on different classifiers are compared for the task of neonatal seizure detection. Support vector machines and Gaussian mixture models are presented as examples of discriminative and generative approaches to classification. The performance of both systems is assessed using a number of metrics, the results of which indicate that both systems are competitive with other detectors in the literature. Finally, misclassified events are analysed, from which specific patterns affecting the performance of the detector are identified.}},
   = {10.1109/WISP.2009.5286564},
   = {Science Foundation Ireland},
   = {05/PICA/I836},
  source = {IRIS}
}
AUTHORSThomas, E.M., Temko, A., Lightbody, G., Marnane, W.P. and Boylan, G.B
TITLEIEEE International Symposium on Intelligent Signal Processing (WISP2009)
PUBLICATION_NAMEA comparison of generative and discriminative approaches in automated neonatal seizure detection
YEAR2009
MONTHAugust
STATUSPublished
PEER_REVIEW1
TIMES_CITED()
SEARCH_KEYWORD
EDITORS
START_PAGE153
END_PAGE156
LOCATIONBudapest, Hungry
START_DATE26-AUG-09
END_DATE28-AUG-09
ABSTRACTTwo systems based on different classifiers are compared for the task of neonatal seizure detection. Support vector machines and Gaussian mixture models are presented as examples of discriminative and generative approaches to classification. The performance of both systems is assessed using a number of metrics, the results of which indicate that both systems are competitive with other detectors in the literature. Finally, misclassified events are analysed, from which specific patterns affecting the performance of the detector are identified.
FUNDED_BY
URL
DOI_LINK10.1109/WISP.2009.5286564
FUNDING_BODYScience Foundation Ireland
GRANT_DETAILS05/PICA/I836