Novi Quadrianto

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Viktoriia SharmanskaImperial College Research FellowVerified email at imperial.ac.uk
Christoph H. LampertInstitute of Science and Technology Austria (ISTA)Verified email at ist.ac.at
Alex SmolaBoson AIVerified email at smola.org
Tiberio CaetanoGradient InstituteVerified email at gradientinstitute.org
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, 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
Oliver ThomasPhD Student, University of SussexVerified email at sussex.ac.uk
Daniel Hernández-LobatoAssociate Professor, Universidad Autónoma de MadridVerified email at uam.es
Quoc V. LeResearch Scientist, GoogleVerified email at stanford.edu
James PettersonPrincipal Data Scientist, IAGVerified email at nicta.com.au
Chao ChenStony Brook UniversityVerified email at stonybrook.edu
Sébastien BratièresDirector of AI, Translated. Managing Director, Pi School.Verified email at translated.com
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeVerified email at cam.ac.uk
Gilbert LeungUber Technologies, Inc.Verified email at alum.mit.edu
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

Professor of Machine Learning, University of Sussex UK, BCAM Spain, Monash Indonesia

Verified email at sussex.ac.uk - Homepage

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Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Sub-band Common Spatial Pattern (SBCSP) for Brain-Computer Interface Q Novi, C Guan, TH Dat, P Xue EMBS Conference on Neural Engineering, 204-207, 2007	424*	2007
Estimating labels from label proportions N Quadrianto, AJ Smola, TS Caetano, QV Le The Journal of Machine Learning Research 10, 2349-2374, 2009	294	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	233	2013
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	174	2019
Learning multi-view neighborhood preserving projections N Quadrianto, CH Lampert Proceedings of the 28th international conference on machine learning (ICML …, 2011	135	2011
Recycling privileged learning and distribution matching for fairness N Quadrianto, V Sharmanska Advances in neural information processing systems 30, 2017	117	2017
Kernelized sorting N Quadrianto, L Song, A Smola Advances in neural information processing systems 21, 2008	116	2008
Augmented attribute representations V Sharmanska, N Quadrianto, CH Lampert Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	115	2012
A very simple safe-Bayesian random forest N Quadrianto, Z Ghahramani IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 37 (6), 2015	76	2015
Multitask learning without label correspondences N Quadrianto, J Petterson, T Caetano, A Smola, S Vishwanathan Advances in Neural Information Processing Systems 23, 2010	61	2010
Distribution matching for transduction N Quadrianto, J Petterson, A Smola Advances in Neural Information Processing Systems 22, 2009	55	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, 1601-1619, 2020	54	2020
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	48	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	44	2016
Beyond dataset bias: Multi-task unaligned shared knowledge transfer T Tommasi, N Quadrianto, B Caputo, CH Lampert Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013	43	2013
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	42	2009
Learning to transfer privileged information V Sharmanska, N Quadrianto, CH Lampert arXiv preprint arXiv:1410.0389, 2014	37	2014
Null-sampling for interpretable and fair representations T Kehrenberg, M Bartlett, O Thomas, N Quadrianto Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	33	2020
Gaussian process N Quadrianto, K Kersting, Z Xu University of Sussex, 2011	32	2011
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	32	2010

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