Sunil Gupta

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Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
Santu RanaAssociate Professor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
Dinh PhungProfessor, Monash UniversityVerified email at monash.edu
Truyen TranAssociate Professor | Head of AI, Health and Science @ Deakin UniversityVerified email at deakin.edu.au
Cheng LiNational University of Singapore, SingaporeVerified email at comp.nus.edu.sg
Alistair ShiltonApplied Artificial Intelligence Institute (A²I²), Deakin UniversityVerified email at deakin.edu.au
Vu NguyenAmazonVerified email at robots.ox.ac.uk
Wei LuoDeakin UniversityVerified email at deakin.edu.au
Dang Nguyen, PhDApplied Artificial Intelligence Institute (A2I2), Deakin University, AustraliaVerified email at deakin.edu.au
Pratibha VellankiDeakin University, AustraliaVerified email at research.deakin.edu.au
Thanh Nguyen-TangJohns Hopkins UniversityVerified email at cs.jhu.edu
Alessandra SuttiDeakin University, Institute for Frontier MaterialsVerified email at deakin.edu.au
Majid AbdolshahMachine Learning Scientist @ AmazonVerified email at amazon.com
David Rubín de Celis LealAssociate Research FellowVerified email at deakin.edu.au
Michael BerkDeakin UniversityVerified email at deakin.edu.au
Thin NguyenSenior Research Lecturer, Deakin University, AustraliaVerified email at deakin.edu.au
Tinu Theckel JoyIBM ResearchVerified email at ibm.com
HARIPRIYA HARIKUMARPostdoctoral Research Fellow, Applied Artificial Intelligence Institute, Deakin UniversityVerified email at deakin.edu.au
Brett AdamsResearch Fellow, School of Computing, Curtin UniversityVerified email at curtin.edu.au
Thuong C. Nguyen(aka Nguyễn Công Thương), Maritime Bank VietnamVerified email at msb.com.vn

Sunil Gupta

Professor, Head of AI Optimization and Materials Discovery, Deakin University

Verified email at deakin.edu.au - Homepage

Machine Learning Bayesian Optimization Healthcare Analytics Adaptive Trials Pattern Recognition


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Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view W Luo, D Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, ... Journal of medical Internet research 18 (12), e323, 2016	643	2016
Bayesian optimization for adaptive experimental design: A review S Greenhill, S Rana, S Gupta, P Vellanki, S Venkatesh IEEE access 8, 13937-13948, 2020	221	2020
High dimensional Bayesian optimization using dropout C Li, S Gupta, S Rana, V Nguyen, S Venkatesh, A Shilton arXiv preprint arXiv:1802.05400, 2018	136	2018
Rapid Bayesian optimisation for synthesis of short polymer fiber materials C Li, D Rubín de Celis Leal, S Rana, S Gupta, A Sutti, S Greenhill, ... Scientific reports 7 (1), 1-10, 2017	110	2017
Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso I Kamkar, SK Gupta, D Phung, S Venkatesh Journal of biomedical informatics 53, 277-290, 2015	106	2015
High dimensional Bayesian optimization with elastic Gaussian process S Rana, C Li, S Gupta, V Nguyen, S Venkatesh International conference on machine learning, 2883-2891, 2017	105	2017
Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry S Gupta, T Tran, W Luo, D Phung, RL Kennedy, A Broad, D Campbell, ... BMJ open 4 (3), e004007, 2014	105	2014
Nonnegative shared subspace learning and its application to social media retrieval SK Gupta, D Phung, B Adams, T Tran, S Venkatesh Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	93	2010
Differentially private random forest with high utility S Rana, SK Gupta, S Venkatesh 2015 IEEE International Conference on Data Mining, 955-960, 2015	82	2015
Coupling machine learning with 3D bioprinting to fast track optimisation of extrusion printing K Ruberu, M Senadeera, S Rana, S Gupta, J Chung, Z Yue, S Venkatesh, ... Applied Materials Today 22, 100914, 2021	76	2021
Regret for expected improvement over the best-observed value and stopping condition V Nguyen, S Gupta, S Rana, C Li, S Venkatesh Asian conference on machine learning, 279-294, 2017	75	2017
Hyperparameter tuning for big data using Bayesian optimisation TT Joy, S Rana, S Gupta, S Venkatesh 2016 23rd International Conference on Pattern Recognition (ICPR), 2574-2579, 2016	70	2016
Regularized nonnegative shared subspace learning SK Gupta, D Phung, B Adams, S Venkatesh Data mining and knowledge discovery 26, 57-97, 2013	53	2013
Multi-objective Bayesian optimisation with preferences over objectives M Abdolshah, A Shilton, S Rana, S Gupta, S Venkatesh Advances in neural information processing systems 32, 2019	50	2019
Bayesian optimization for categorical and category-specific continuous inputs D Nguyen, S Gupta, S Rana, A Shilton, S Venkatesh Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5256-5263, 2020	48	2020
Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes T Nguyen, D Phung, S Gupta, S Venkatesh 2013 IEEE International Conference on Pervasive Computing and Communications …, 2013	47	2013
SARS‐CoV‐2 infection and venous thromboembolism after surgery: an international prospective cohort study COVIDSurg Collaborative, GlobalSurg Collaborative, D Nepogodiev, ... Anaesthesia 77 (1), 28-39, 2022	46	2022
Health issues related to N pollution in water and air SK Gupta, RC Gupta, SK Chhabra, S Eskiocak, AB Gupta, R Gupta Current Science, 1469-1477, 2008	46	2008
Vertebral cryptococcosis simulating tuberculosis SK Gupta, R Chhabra, BS Sharma, A Das, VK Khosla British journal of neurosurgery 17 (6), 556-559, 2003	46	2003
Fast hyperparameter tuning using Bayesian optimization with directional derivatives TT Joy, S Rana, S Gupta, S Venkatesh Knowledge-Based Systems 205, 106247, 2020	45	2020

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