Sunil Gupta
Sunil Gupta
Professor, Head of AI Optimization and Materials Discovery, Deakin University
Verified email at - Homepage
Cited by
Cited by
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
Bayesian optimization for adaptive experimental design: A review
S Greenhill, S Rana, S Gupta, P Vellanki, S Venkatesh
IEEE access 8, 13937-13948, 2020
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
High dimensional Bayesian optimization using dropout
C Li, S Gupta, S Rana, V Nguyen, S Venkatesh, A Shilton
arXiv preprint arXiv:1802.05400, 2018
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
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
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
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
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
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
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
Differentially private random forest with high utility
S Rana, SK Gupta, S Venkatesh
2015 IEEE international conference on data mining, 955-960, 2015
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
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
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
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
Fast hyperparameter tuning using Bayesian optimization with directional derivatives
TT Joy, S Rana, S Gupta, S Venkatesh
Knowledge-Based Systems 205, 106247, 2020
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
Regularized nonnegative shared subspace learning
SK Gupta, D Phung, B Adams, S Venkatesh
Data mining and knowledge discovery 26, 57-97, 2013
Arsenic mediated modifications in Bacillus aryabhattai and their biotechnological applications for arsenic bioremediation
N Singh, S Gupta, N Marwa, V Pandey, PC Verma, S Rathaur, N Singh
Chemosphere 164, 524-534, 2016
The system can't perform the operation now. Try again later.
Articles 1–20