Sunil Gupta

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	Toate	Din 2020
Referințe bibliografice	14939	8692
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Svetha VenkateshDeakin Distinguished Professor, Deakin UniversityAdresă de e-mail confirmată pe deakin.edu.au
Santu RanaAssociate Professor of Computer Science, Deakin UniversityAdresă de e-mail confirmată pe deakin.edu.au
Dinh PhungProfessor, Monash UniversityAdresă de e-mail confirmată pe monash.edu
Truyen TranProfessor | Head of AI, Health and Science @ Deakin UniversityAdresă de e-mail confirmată pe deakin.edu.au
Alistair ShiltonApplied Artificial Intelligence Institute (A²I²), Deakin UniversityAdresă de e-mail confirmată pe deakin.edu.au
Cheng LiNational University of Singapore, SingaporeAdresă de e-mail confirmată pe comp.nus.edu.sg
Vu NguyenSenior ML Scientist, AmazonAdresă de e-mail confirmată pe robots.ox.ac.uk
Wei LuoDeakin UniversityAdresă de e-mail confirmată pe deakin.edu.au
Dang Nguyen, PhDApplied Artificial Intelligence Institute (A2I2), Deakin University, AustraliaAdresă de e-mail confirmată pe deakin.edu.au
Pratibha VellankiDeakin University, AustraliaAdresă de e-mail confirmată pe research.deakin.edu.au
Majid AbdolshahMachine Learning Scientist @ AmazonAdresă de e-mail confirmată pe amazon.com
Alessandra SuttiDeakin University, Institute for Frontier MaterialsAdresă de e-mail confirmată pe deakin.edu.au
Thanh Nguyen-TangJohns Hopkins UniversityAdresă de e-mail confirmată pe cs.jhu.edu
David Rubín de Celis LealAssociate Research FellowAdresă de e-mail confirmată pe deakin.edu.au
Tinu Theckel JoyIBM ResearchAdresă de e-mail confirmată pe ibm.com
Michael BerkDeakin UniversityAdresă de e-mail confirmată pe deakin.edu.au
Thin NguyenSenior Research Lecturer, Deakin University, AustraliaAdresă de e-mail confirmată pe deakin.edu.au
HARIPRIYA HARIKUMARResearch Fellow, University of Manchester, UKAdresă de e-mail confirmată pe deakin.edu.au
Stewart GreenhillDeakin UniversityAdresă de e-mail confirmată pe deakin.edu.au
Brett AdamsResearch Fellow, School of Computing, Curtin UniversityAdresă de e-mail confirmată pe curtin.edu.au

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Sunil Gupta

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

Adresă de e-mail confirmată pe deakin.edu.au - Pagina de pornire

Machine Learning Bayesian Optimization Healthcare Analytics Adaptive Trials Materials Discovery


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	875	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	441	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	161	2018
Centrality Dependence of Neutral Pion Production in Collisions MM Aggarwal, A Agnihotri, Z Ahammed, ALS Angelis, V Antonenko, ... Physical Review Letters 81 (19), 4087, 1998	143	1998
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	141	2021
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	136	2017
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), 5683, 2017	129	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	126	2016
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	118	2014
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	111	2015
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	101	2017
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	94	2010
Differentially private random forest with high utility S Rana, SK Gupta, S Venkatesh 2015 IEEE international conference on data mining, 955-960, 2015	92	2015
Fast hyperparameter tuning using Bayesian optimization with directional derivatives TT Joy, S Rana, S Gupta, S Venkatesh Knowledge-Based Systems 205, 106247, 2020	79	2020
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	74	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	70	2020
A flexible transfer learning framework for Bayesian optimization with convergence guarantee TT Joy, S Rana, S Gupta, S Venkatesh Expert Systems with Applications 115, 656-672, 2019	64	2019
Exploration enhanced expected improvement for Bayesian optimization J Berk, V Nguyen, S Gupta, S Rana, S Venkatesh Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019	62	2019
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	61	2022
Phenomenology and beliefs of patients with Dhat syndrome: A nationwide multicentric study S Grover, A Avasthi, S Gupta, A Dan, R Neogi, PB Behere, B Lakdawala, ... International Journal of Social Psychiatry 62 (1), 57-66, 2016	61	2016

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