Novi Quadrianto

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Viktoriia SharmanskaImperial College Research FellowVerified email at imperial.ac.uk
Christoph H. LampertProfessor at IST AustriaVerified email at ist.ac.at
Alex SmolaAmazon Web ServicesVerified email at smola.org
Tiberio CaetanoGradient InstituteVerified email at gradientinstitute.org
Kristian KerstingProfessor of AI & Machine Learning, TU Darmstadt, Co-Director of hessian.ai, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Wray BuntineProfessor, VinUniversityVerified email at vinuni.edu.vn
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Cuntai GuanChair Professor in Computer Science and Engineering, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
Oliver ThomasPhD Student, University of SussexVerified email at sussex.ac.uk
Daniel Hernández-LobatoLecturer of Computer Science, Universidad Autónoma de MadridVerified email at uam.es
James PettersonPrincipal Data Scientist, IAGVerified email at nicta.com.au
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
Chao ChenStony Brook UniversityVerified email at stonybrook.edu
Sébastien BratièresDirector of AI, TranslatedVerified email at translated.com
Le SongGeorgia Institute of TechnologyVerified email at cc.gatech.edu
José Miguel Hernández-LobatoAssociate Professor in Machine Learning, University of CambridgeVerified email at cam.ac.uk
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerified email at stat.purdue.edu
Tatiana TommasiPolitecnico di TorinoVerified email at polito.it
Barbara CaputoDAUIN, Politecnico di TorinoVerified email at polito.it
Mark D. ReidAppleVerified email at reid.name

Novi Quadrianto

Reader in Machine Learning, Predictive Analytics Lab (WeArePAL), University of Sussex

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Statistical Machine Learning


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Sub-band common spatial pattern (SBCSP) for brain-computer interface Q Novi, C Guan, TH Dat, P Xue 2007 3rd International IEEE/EMBS Conference on Neural Engineering, 204-207, 2007	316	2007
Estimating labels from label proportions N Quadrianto, AJ Smola, TS Caetano, QV Le The Journal of Machine Learning Research 10, 2349-2374, 2009	234	2009
Learning to rank using privileged information V Sharmanska, N Quadrianto, CH Lampert Proceedings of the IEEE international conference on computer vision, 825-832, 2013	199	2013
Learning multi-view neighborhood preserving projections N Quadrianto, CH Lampert ICML, 2011	129	2011
Augmented attribute representations V Sharmanska, N Quadrianto, CH Lampert European Conference on Computer Vision, 242-255, 2012	110	2012
Kernelized sorting N Quadrianto, L Song, A Smola Advances in neural information processing systems 21, 2008	101	2008
Discovering fair representations in the data domain N Quadrianto, V Sharmanska, O Thomas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	66	2019
Multitask learning without label correspondences N Quadrianto, J Petterson, T Caetano, A Smola, S Vishwanathan Advances in Neural Information Processing Systems 23, 2010	55	2010
Recycling privileged learning and distribution matching for fairness N Quadrianto, V Sharmanska Advances in Neural Information Processing Systems 30, 2017	54	2017
Distribution matching for transduction N Quadrianto, J Petterson, A Smola Advances in Neural Information Processing Systems 22, 2009	49	2009
A very simple safe-Bayesian random forest N Quadrianto, Z Ghahramani IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 37 (6), 2015	41	2015
Mind the nuisance: Gaussian process classification using privileged noise D Hernández-Lobato, V Sharmanska, K Kersting, CH Lampert, ... Advances in Neural Information Processing Systems 27, 2014	41	2014
Beyond dataset bias: Multi-task unaligned shared knowledge transfer T Tommasi, N Quadrianto, B Caputo, CH Lampert Asian Conference on Computer Vision, 1-15, 2012	40	2012
Kernel conditional quantile estimation via reduction revisited N Quadrianto, K Kersting, MD Reid, TS Caetano, WL Buntine 2009 Ninth IEEE International Conference on Data Mining, 938-943, 2009	39	2009
Learning to transfer privileged information V Sharmanska, N Quadrianto, CH Lampert arXiv preprint arXiv:1410.0389, 2014	31	2014
Ambiguity helps: Classification with disagreements in crowdsourced annotations V Sharmanska, D Hernández-Lobato, J Miguel Hernandez-Lobato, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	27	2016
Beyond 2D-grids: a dependence maximization view on image browsing N Quadrianto, K Kersting, T Tuytelaars, WL Buntine Proceedings of the international conference on multimedia information …, 2010	24	2010
Learning based automatic face annotation for arbitrary poses and expressions from frontal images only A Asthana, R Goecke, N Quadrianto, T Gedeon 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1635-1642, 2009	19	2009
Analysing trade-offs and synergies between SDGs for urban development, food security and poverty alleviation in rapidly changing peri-urban areas: a tool to support inclusive … J Dolley, F Marshall, B Butcher, J Reffin, JA Robinson, B Eray, ... Sustainability Science 15 (6), 1601-1619, 2020	17	2020
Composing tree graphical models with persistent homology features for clustering mixed-type data X Ni, N Quadrianto, Y Wang, C Chen International Conference on Machine Learning, 2622-2631, 2017	16	2017

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