| 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 | 494 | 2016 |
| Polymethylmethacrylate bone cements and additives: A review of the literature M Arora, EKS Chan, S Gupta, AD Diwan World journal of orthopedics 4 (2), 67, 2013 | 171 | 2013 |
| Fast track pathway reduces sight loss in giant cell arteritis: results of a longitudinal observational cohort study P Patil, M Williams, WW Maw, K Achilleos, S Elsideeg, C Dejaco, F Borg, ... Clin Exp Rheumatol 33 (2 Suppl 89), 103-6, 2015 | 154 | 2015 |
| Bayesian optimization for adaptive experimental design: A review S Greenhill, S Rana, S Gupta, P Vellanki, S Venkatesh IEEE access 8, 13937-13948, 2020 | 115 | 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 | 108 | 2018 |
| A study on lipid profile and body fat in patients with diabetes mellitus M Arora, S Koley, S Gupta, JS Sandhu The Anthropologist 9 (4), 295-298, 2007 | 106 | 2007 |
| 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 | 94 | 2015 |
| 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 | 91 | 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 | 91 | 2010 |
| 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 | 88 | 2014 |
| 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 | 85 | 2017 |
| Barriers to the uptake of cataract surgery in patients presenting to a hospital U Dhaliwal, SK Gupta Indian journal of ophthalmology 55 (2), 133-136, 2007 | 82 | 2007 |
| Differentially private random forest with high utility S Rana, SK Gupta, S Venkatesh 2015 IEEE International Conference on Data Mining, 955-960, 2015 | 75 | 2015 |
| Estimation of geopolymer concrete strength from ultrasonic pulse velocity (UPV) using high power pulser R Ghosh, SP Sagar, A Kumar, SK Gupta, S Kumar Journal of building engineering 16, 39-44, 2018 | 69 | 2018 |
| Duodenal tuberculosis SK Gupta, AK Jain, JP Gupta, AK Agrawal, K Berry Clinical radiology 39 (2), 159-161, 1988 | 64 | 1988 |
| 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 | 57 | 2017 |
| Comparative evaluation of microleakage in Class V cavities using various glass ionomer cements: An in vitro study SK Gupta, J Gupta, V Saraswathi, V Ballal, SR Acharya Journal of Interdisciplinary Dentistry 2 (3), 164, 2012 | 54 | 2012 |
| Regularized nonnegative shared subspace learning SK Gupta, D Phung, B Adams, S Venkatesh Data mining and knowledge discovery 26, 57-97, 2013 | 53 | 2013 |
| 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 | 49 | 2016 |
| Antioxidative enzymes and sucrose synthase contribute to cold stress tolerance in chickpea S Kaur, AK Gupta, N Kaur, JS Sandhu, SK Gupta Journal of Agronomy and Crop Science 195 (5), 393-397, 2009 | 49 | 2009 |
Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
