Cheng Soon Ong

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Citations	10332	6303
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Joachim M. BuhmannETH ZurichAdresse e-mail validée de inf.ethz.ch
Gunnar RätschProfessor, ETH ZürichAdresse e-mail validée de inf.ethz.ch
Alex SmolaBoson AIAdresse e-mail validée de smola.org
Soeren SonnenburgMachine Learning ResearcherAdresse e-mail validée de tomtom.com
Robert C. WilliamsonUniversity of TübingenAdresse e-mail validée de uni-tuebingen.de
Kay H. BrodersenGoogleAdresse e-mail validée de google.com
Klaas Enno StephanTranslational Neuromodeling Unit (TNU), IBT, University of Zurich and ETH ZurichAdresse e-mail validée de uzh.ch
Aditya Krishna MenonResearch Scientist, GoogleAdresse e-mail validée de google.com
Stéphane CanuProfessor of Data Science, INSA RouenAdresse e-mail validée de insa-rouen.fr
Lexing XieProfessor at Australian National UniversityAdresse e-mail validée de anu.edu.au
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHAdresse e-mail validée de tuebingen.mpg.de
David RawlinsonMelbourne University, Cerenaut AI.Adresse e-mail validée de unimelb.edu.au
Marc DeisenrothUniversity College London and The Alan Turing InstituteAdresse e-mail validée de ucl.ac.uk
Gabriel KrummenacherZühlke Engineering AGAdresse e-mail validée de zuehlke.com
Mikio L. BraunTU Berlin (allumni)Adresse e-mail validée de zalando.de
Asa Ben-HurComputer Science, Colorado State UniversityAdresse e-mail validée de cs.colostate.edu
A. Aldo FaisalProfessor in AI & Neuroscience, Imperial College; Chair in Digital Health, University of BayreuthAdresse e-mail validée de imperial.ac.uk
Richard NockGoogle ResearchAdresse e-mail validée de uniagro.fr
Gabriele SchweikertPI, University of Dundee, UK and Universität Tübingen, GermanyAdresse e-mail validée de dundee.ac.uk
Karsten BorgwardtDirector, Max Planck Institute of BiochemistryAdresse e-mail validée de biochem.mpg.de

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Cheng Soon Ong

Data61, CSIRO, Canberra

Adresse e-mail validée de anu.edu.au - Page d'accueil

Machine Learning Computational Biology Radio Astronomy


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	1856	2010
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	1358	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	838	2008
Mathematics for machine learning MP Deisenroth, AA Faisal, CS Ong Cambridge University Press, 2020	828	2020
Contextual gaussian process bandit optimization A Krause, C Ong Advances in neural information processing systems 24, 2011	493	2011
Learning the kernel with hyperkernels CS Ong, A Smola, B Williamson Journal of Machine Learning Research 6, 1045-1071, 2005	473	2005
Multiclass multiple kernel learning A Zien, CS Ong Proceedings of the 24th international conference on Machine learning, 1191-1198, 2007	388	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	320	2004
The need for open source software in machine learning S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ...	281	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	274	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	262	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	193	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	170	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	131	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	126	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	121	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	114	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	107	2011
Factorized fourier neural operators A Tran, A Mathews, L Xie, CS Ong arXiv preprint arXiv:2111.13802, 2021	106	2021
Hyperkernels CS Ong, AJ Smola, RC Williamson Advances in neural information processing systems 15, 478-485, 2002	106*	2002

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