Tiberio Caetano

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Julian McAuleyProfessor, UC San DiegoAdresse e-mail validée de eng.ucsd.edu
Terry CaelliDeakin UniversityAdresse e-mail validée de deakin.edu.au
Alex SmolaBoson AIAdresse e-mail validée de smola.org
James PettersonPrincipal Data Scientist, IAGAdresse e-mail validée de nicta.com.au
Novi QuadriantoProfessor of Machine Learning, University of Sussex UK, BCAM Spain, Monash IndonesiaAdresse e-mail validée de sussex.ac.uk
Quoc V. LeResearch Scientist, GoogleAdresse e-mail validée de stanford.edu
Aaron DefazioFundamental AI Research team, Meta NYAdresse e-mail validée de anu.edu.au
Richard NockGoogle ResearchAdresse e-mail validée de uniagro.fr
Wray BuntineProfessor, VinUniversityAdresse e-mail validée de vinuni.edu.vn
Li ChengProfessor, Department of ECE, University of Alberta, CanadaAdresse e-mail validée de ualberta.ca
Nick BarnesProfessor, Australian National UniversityAdresse e-mail validée de anu.edu.au
Professor Javen Qinfeng ShiDirector for Causal AI Group, University of AdelaideAdresse e-mail validée de adelaide.edu.au
Dale SchuurmansGoogle DeepMind & University of AlbertaAdresse e-mail validée de ualberta.ca
Giorgio PatriniCEO and Chief Scientist, sensity.aiAdresse e-mail validée de sensity.ai
Mark D. ReidAppleAdresse e-mail validée de reid.name
Pengdong Xiao (肖鹏东)Associate Professor, Department of Computer Science, DigiPen Institute of Technology, SingaporeAdresse e-mail validée de digipen.edu
Paulette LiebyNICTA AustraliaAdresse e-mail validée de nicta.com.au
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityAdresse e-mail validée de stat.purdue.edu
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyAdresse e-mail validée de sydney.edu.au
Arnau RamisaAmazonAdresse e-mail validée de amazon.com

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Tiberio Caetano

Gradient Institute

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Machine Learning Causality Ethics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Learning graph matching TS Caetano, JJ McAuley, L Cheng, QV Le, AJ Smola IEEE transactions on pattern analysis and machine intelligence 31 (6), 1048-1058, 2009	627	2009
Estimating labels from label proportions N Quadrianto, AJ Smola, TS Caetano, QV Le Proceedings of the 25th International Conference on Machine learning, 776-783, 2008	301	2008
Finito: A faster, permutable incremental gradient method for big data problems A Defazio, J Domke International Conference on Machine Learning, 1125-1133, 2014	213	2014
Rich-club phenomenon across complex network hierarchies JJ McAuley, L da Fontoura Costa, TS Caetano Applied physics letters 91 (8), 2007	204	2007
Graphical models and point pattern matching TS Caetano, T Caelli, D Schuurmans, DAC Barone IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (10), 1646 …, 2006	173	2006
Word features for latent dirichlet allocation J Petterson, W Buntine, S Narayanamurthy, T Caetano, A Smola Advances in Neural Information Processing Systems 23, 2010	139	2010
Reverse multi-label learning J Petterson, T Caetano Advances in neural information processing systems 23, 2010	107	2010
Submodular multi-label learning J Petterson, T Caetano Advances in Neural Information Processing Systems 24, 2011	89	2011
A probabilistic model for the human skin color TS Caetano, DAC Barone Proceedings 11th International Conference on Image Analysis and Processing …, 2001	76	2001
Performance evaluation of single and multiple-Gaussian models for skin color modeling TS Caetano, SD Olabarriaga, DAC Barone Proceedings. XV Brazilian symposium on computer graphics and image …, 2002	71	2002
Mobile Content Delivery System with Recommendation-Based Pre-Fetching LH Petander, M Ott, R Hitching, YG Maziere, J Petterson, C Webers, ... US Patent App. 14/350,643, 2014	61	2014
Multitask learning without label correspondences N Quadrianto, J Petterson, T Caetano, A Smola, S Vishwanathan Advances in Neural Information Processing Systems 23, 2010	60	2010
Learning high-order mrf priors of color images JJ McAuley, TS Caetano, AJ Smola, MO Franz Proceedings of the 23rd international conference on Machine learning, 617-624, 2006	60	2006
Dimensionality reduction via compressive sensing J Gao, Q Shi, TS Caetano Pattern Recognition Letters 33 (9), 1163-1170, 2012	59	2012
Do mixture models in chromaticity space improve skin detection? TS Caetano, SD Olabarriaga, DAC Barone Pattern Recognition 36 (12), 3019-3021, 2003	58	2003
Graphical models for graph matching: Approximate models and optimal algorithms T Caelli, T Caetano Pattern Recognition Letters 26 (3), 339-346, 2005	55	2005
Learning with transformed data R Nock, G Patrini, T Caetano US Patent 11,521,106, 2022	50	2022
Graph rigidity, cyclic belief propagation, and point pattern matching JJ McAuley, TS Caetano, MS Barbosa IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (11), 2047 …, 2008	44	2008
A convex formulation for learning scale-free networks via submodular relaxation A Defazio, T Caetano Advances in neural information processing systems 25, 2012	42	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	42	2009

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