Cheng Soon Ong

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Joachim M. BuhmannETH ZurichVerified email at inf.ethz.ch
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Alex SmolaBoson AIVerified email at smola.org
Soeren SonnenburgMachine Learning ResearcherVerified email at tomtom.com
Robert C. WilliamsonUniversity of TübingenVerified email at uni-tuebingen.de
Kay H. BrodersenGoogleVerified email at google.com
Klaas Enno StephanTranslational Neuromodeling Unit (TNU), IBT, University of Zurich and ETH ZurichVerified email at uzh.ch
Aditya Krishna MenonResearch Scientist, GoogleVerified email at google.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH ZürichVerified email at tuebingen.mpg.de
Stéphane CanuProfessor of Data Science, INSA RouenVerified email at insa-rouen.fr
David RawlinsonMelbourne University, Cerenaut AI.Verified email at unimelb.edu.au
Lexing XieAustralian National UniversityVerified email at anu.edu.au
Mikio L. BraunTU Berlin (allumni)Verified email at getyourguide.de
Gabriel KrummenacherZühlke Engineering AGVerified email at zuehlke.com
Asa Ben-HurComputer Science, Colorado State UniversityVerified email at cs.colostate.edu
Gabriele SchweikertPI, University of Dundee, UK and Universität Tübingen, GermanyVerified email at dundee.ac.uk
Marc DeisenrothUniversity College LondonVerified email at ucl.ac.uk
A. Aldo FaisalProfessor in AI & Neuroscience, Imperial College; Chair in Digital Health, University of BayreuthVerified email at imperial.ac.uk
Richard NockGoogle ResearchVerified email at uniagro.fr
Karsten BorgwardtDirector, Max Planck Institute of BiochemistryVerified email at biochem.mpg.de

Cheng Soon Ong

Data61, CSIRO, Canberra

Verified email at anu.edu.au - Homepage

Machine Learning Computational Biology Radio Astronomy


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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	1405	2010
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	1081	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	744	2008
Mathematics for machine learning MP Deisenroth, AA Faisal, CS Ong Cambridge University Press, 2020	494	2020
Learning the kernel with hyperkernels CS Ong, A Smola, B Williamson Journal of Machine Learning Research 6, 1045-1071, 2005	458	2005
Contextual gaussian process bandit optimization A Krause, C Ong Advances in neural information processing systems 24, 2011	392	2011
Multiclass multiple kernel learning A Zien, CS Ong Proceedings of the 24th international conference on Machine learning, 1191-1198, 2007	377	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	296	2004
The need for open source software in machine learning S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ...	257	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	224	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	187	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	187	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	130	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	117	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	108	2015
Learning output kernels with block coordinate descent F Dinuzzo, CS Ong, P Gehler, G Pillonetto Proceedings of the International Conference on Machine Learning, 2011	101	2011
Hyperkernels CS Ong, AJ Smola, RC Williamson Advances in neural information processing systems 15, 478-485, 2002	98*	2002
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	97	2016
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	94	2019
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	94	2010

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