| 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 | 1950 | 2010 |
| Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005 | 1418 | 2005 |
| Mathematics for machine learning MP Deisenroth, AA Faisal, CS Ong Cambridge University Press, 2020 | 916 | 2020 |
| 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 | 857 | 2008 |
| Contextual gaussian process bandit optimization A Krause, C Ong Advances in neural information processing systems 24, 2011 | 506 | 2011 |
| Learning the kernel with hyperkernels CS Ong, A Smola, B Williamson Journal of Machine Learning Research 6, 1045-1071, 2005 | 476 | 2005 |
| Multiclass multiple kernel learning A Zien, CS Ong Proceedings of the 24th international conference on Machine learning, 1191-1198, 2007 | 390 | 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 | 325 | 2004 |
| The need for open source software in machine learning S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ... | 284 | 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 | 280 | 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 | 272 | 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 | 196 | 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 | 177 | 2016 |
| Factorized fourier neural operators A Tran, A Mathews, L Xie, CS Ong arXiv preprint arXiv:2111.13802, 2021 | 140 | 2021 |
| Learning SVM in Kreĭn spaces G Loosli, S Canu, CS Ong IEEE transactions on pattern analysis and machine intelligence 38 (6), 1204-1216, 2015 | 135 | 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 | 132 | 2019 |
| 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 | 126 | 2009 |
| 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 | 121 | 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 | 108 | 2011 |
| Hyperkernels CS Ong, AJ Smola, RC Williamson Advances in neural information processing systems 15, 478-485, 2002 | 106* | 2002 |
Joachim M. BuhmannETH Zurichinf.ethz.ch의 이메일 확인됨
