Follow
Charles C Onu
Charles C Onu
PhD candidate, McGill University and Mila
Verified email at mail.mcgill.ca - Homepage
Title
Cited by
Cited by
Year
Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia
CC Onu, J Lebensold, WL Hamilton, D Precup
arXiv preprint arXiv:1906.10199, 2019
182019
Ubenwa: Cry-based Diagnosis of Birth Asphyxia
CC Onu, I Udeogu, E Ndiomu, U Kengni, D Precup, GM Sant'anna, ...
arXiv preprint arXiv:1711.06405, 2017
132017
Harnessing infant cry for swift, cost-effective diagnosis of perinatal asphyxia in low-resource settings
CC Onu
2014 IEEE Canada International Humanitarian Technology Conference-(IHTC), 1-4, 2014
82014
Mapping computer science research in Africa: using academic networking sites for assessing research activity
M Harsh, R Bal, A Weryha, J Whatley, CC Onu, LM Negro
Scientometrics 126, 305-334, 2021
72021
Undersampling and Bagging of Decision Trees in the Analysis of Cardiorespiratory Behavior for the Prediction of Extubation Readiness in Extremely Preterm Infants
LJ Kanbar, CC Onu, W Shalish, KA Brown, GM Sant’Anna, D Precup, ...
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
72018
Predicting extubation readiness in extreme preterm infants based on patterns of breathing
CC Onu, LJ Kanbar, W Shalish, KA Brown, GM Sant'Anna, RE Kearney, ...
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017
42017
A semi-Markov chain approach to modeling respiratory patterns prior to extubation in preterm infants
CC Onu, LJ Kanbar, W Shalish, KA Brown, GM Sant'Anna, RE Kearney, ...
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
32017
A Fully Tensorized Recurrent Neural Network
CC Onu, JE Miller, D Precup
arXiv preprint arXiv:2010.04196, 2020
22020
Machine Learning for Prediction of Extubation Readiness in Extremely Preterm Newborns
CC Onu
McGill University Libraries, 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–9