Cheng Soon Ong
Cheng Soon Ong
Data61, CSIRO, Canberra
Verified email at - Homepage
Cited by
Cited by
The balanced accuracy and its posterior distribution
KH Brodersen, CS Ong, KE Stephan, JM Buhmann
2010 20th international conference on pattern recognition, 3121-3124, 2010
Protein function prediction via graph kernels
KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ...
Bioinformatics 21 (suppl_1), i47-i56, 2005
Support vector machines and kernels for computational biology
A Ben-Hur, CS Ong, S Sonnenburg, B Schölkopf, G Rätsch
PLoS computational biology 4 (10), e1000173, 2008
Mathematics for machine learning
MP Deisenroth, AA Faisal, CS Ong
Cambridge University Press, 2020
Contextual gaussian process bandit optimization
A Krause, C Ong
Advances in neural information processing systems 24, 2011
Learning the kernel with hyperkernels
CS Ong, A Smola, B Williamson
Journal of Machine Learning Research 6, 1045-1071, 2005
Multiclass multiple kernel learning
A Zien, CS Ong
Proceedings of the 24th international conference on Machine learning, 1191-1198, 2007
Learning with non-positive kernels
CS Ong, X Mary, S Canu, AJ Smola
Proceedings of the twenty-first international conference on Machine learning, 81, 2004
The need for open source software in machine learning
S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ...
Learning from corrupted binary labels via class-probability estimation
A Menon, B Van Rooyen, CS Ong, B Williamson
International conference on machine learning, 125-134, 2015
Wheel defect detection with machine learning
G Krummenacher, CS Ong, S Koller, S Kobayashi, JM Buhmann
IEEE Transactions on Intelligent Transportation Systems 19 (4), 1176-1187, 2017
Generative embedding for model-based classification of fMRI data
KH Brodersen, TM Schofield, AP Leff, CS Ong, EI Lomakina, JM Buhmann, ...
PLoS computational biology 7 (6), e1002079, 2011
SplAdder: identification, quantification and testing of alternative splicing events from RNA-Seq data
A Kahles, CS Ong, Y Zhong, G Rätsch
Bioinformatics 32 (12), 1840-1847, 2016
Learning SVM in Kreĭn spaces
G Loosli, S Canu, CS Ong
IEEE transactions on pattern analysis and machine intelligence 38 (6), 1204-1216, 2015
mGene: accurate SVM-based gene finding with an application to nematode genomes
G Schweikert, A Zien, G Zeller, J Behr, C Dieterich, CS Ong, P Philips, ...
Genome research 19 (11), 2133-2143, 2009
Radio Galaxy Zoo: Claran – a deep learning classifier for radio morphologies
C Wu, OI Wong, L Rudnick, SS Shabala, MJ Alger, JK Banfield, CS Ong, ...
Monthly Notices of the Royal Astronomical Society 482 (1), 1211-1230, 2019
Learning points and routes to recommend trajectories
D Chen, CS Ong, L Xie
Proceedings of the 25th ACM international on conference on information and …, 2016
Learning output kernels with block coordinate descent
F Dinuzzo, CS Ong, P Gehler, G Pillonetto
Proceedings of the International Conference on Machine Learning, 2011
CS Ong, AJ Smola, RC Williamson
Advances in neural information processing systems 15, 478-485, 2002
The binormal assumption on precision-recall curves
KH Brodersen, CS Ong, KE Stephan, JM Buhmann
2010 20th international conference on pattern recognition, 4263-4266, 2010
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