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 | 1762 | 2010 |
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005 | 1301 | 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 | 811 | 2008 |
Mathematics for machine learning MP Deisenroth, AA Faisal, CS Ong Cambridge University Press, 2020 | 745 | 2020 |
Contextual gaussian process bandit optimization A Krause, C Ong Advances in neural information processing systems 24, 2011 | 478 | 2011 |
Learning the kernel with hyperkernels CS Ong, A Smola, B Williamson Journal of Machine Learning Research 6, 1045-1071, 2005 | 472 | 2005 |
Multiclass multiple kernel learning A Zien, CS Ong Proceedings of the 24th international conference on Machine learning, 1191-1198, 2007 | 386 | 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 | 316 | 2004 |
The need for open source software in machine learning S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ... | 273 | 2007 |
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 | 266 | 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 | 246 | 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 | 192 | 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 | 163 | 2016 |
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 | 125 | 2009 |
Learning SVM in Kreĭn spaces G Loosli, S Canu, CS Ong IEEE transactions on pattern analysis and machine intelligence 38 (6), 1204-1216, 2015 | 124 | 2015 |
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 | 116 | 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 | 111 | 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 | 104 | 2011 |
Hyperkernels CS Ong, AJ Smola, RC Williamson Advances in neural information processing systems 15, 478-485, 2002 | 104* | 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 | 97 | 2010 |