Tiberio Caetano

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	All	Since 2015
Citations	2527	1358
h-index	25	17
i10-index	43	26

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Co-authors

Julian McAuleyAssociate Professor, UC San DiegoVerified email at eng.ucsd.edu
Alex SmolaAmazon Web ServicesVerified email at smola.org
Terry CaelliDeakin UniversityVerified email at deakin.edu.au
James PettersonPrincipal Data Scientist, IAGVerified email at nicta.com.au
Novi QuadriantoReader in Machine Learning, Predictive Analytics Lab (PAL), University of SussexVerified email at sussex.ac.uk
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
Aaron DefazioFacebook AI ResearchVerified email at anu.edu.au
Wray BuntineProfessor, MonashVerified email at monash.edu
Richard NockVerified email at uniagro.fr
Li ChengAssociate Professor, Department of ECE, University of Alberta, Canada; Adjunct staff, BII, A*STARVerified email at ualberta.ca
Giorgio PatriniSensityVerified email at sensity.ai
Nick BarnesAssociate Professor, Australian National UniversityVerified email at anu.edu.au
Professor Javen Qinfeng Shi 史勤峰Director and Founder, Probabilistic Graphical Model Group, Professor of University of AdelaideVerified email at adelaide.edu.au
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
Mark D. ReidAppleVerified email at reid.name
Pengdong Xiao（肖鹏东）Associate Professor, Department of Computer Science, DigiPen Institute of Technology, SingaporeVerified email at digipen.edu
Paulette LiebyNICTA AustraliaVerified email at nicta.com.au
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyVerified email at sydney.edu.au
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerified email at stat.purdue.edu
Marconi Soares BarbosaThe Eccles Institute of Neuroscience, John Curtin School of Medical Research, The AustralianVerified email at anu.edu.au

Tiberio Caetano

Gradient Institute

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Machine Learning Causality Ethics


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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	450	2009
Estimating labels from label proportions. N Quadrianto, AJ Smola, TS Caetano, QV Le Journal of Machine Learning Research 10 (10), 2009	196	2009
Finito: A faster, permutable incremental gradient method for big data problems A Defazio, J Domke International Conference on Machine Learning, 1125-1133, 2014	164	2014
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	157	2006
Rich-club phenomenon across complex network hierarchies JJ McAuley, L da Fontoura Costa, TS Caetano Applied Physics Letters 91 (8), 084103, 2007	144	2007
Word features for latent dirichlet allocation J Petterson, W Buntine, S Narayanamurthy, T Caetano, A Smola Advances in Neural Information Processing Systems 23, 1921-1929, 2010	108	2010
Reverse multi-label learning J Petterson, T Caetano Advances in neural information processing systems 23, 1912-1920, 2010	98	2010
Compressed sensing for longitudinal MRI: an adaptive‐weighted approach L Weizman, YC Eldar, D Ben Bashat Medical physics 42 (9), 5195-5208, 2015	82	2015
Submodular multi-label learning J Petterson, T Caetano Advances in neural information processing systems 24, 1512-1520, 2011	77	2011
A probabilistic model for the human skin color TS Caetano, DAC Barone Proceedings 11th International Conference on Image Analysis and Processing …, 2001	72	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	63	2002
Do mixture models in chromaticity space improve skin detection? TS Caetano, SD Olabarriaga, DAC Barone Pattern Recognition 36 (12), 3019-3021, 2003	55	2003
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	54	2006
AVIATR—aerial vehicle for in-situ and airborne titan reconnaissance JW Barnes, L Lemke, R Foch, CP McKay, RA Beyer, J Radebaugh, ... Experimental Astronomy 33 (1), 55-127, 2012	52	2012
Dimensionality reduction via compressive sensing J Gao, Q Shi, TS Caetano Pattern Recognition Letters 33 (9), 1163-1170, 2012	50	2012
Multitask learning without label correspondences N Quadrianto, J Petterson, T Caetano, A Smola, S Vishwanathan Advances in Neural Information Processing Systems 23, 1957-1965, 2010	50	2010
Graphical models for graph matching: Approximate models and optimal algorithms T Caelli, T Caetano Pattern Recognition Letters 26 (3), 339-346, 2005	47	2005
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	43	2008
A convex formulation for learning scale-free networks via submodular relaxation A Defazio, T Caetano Advances in neural information processing systems 25, 1250-1258, 2012	37	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	36	2009

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