| 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 | 210 | 2016 |
| Rapid Bayesian optimisation for synthesis of short polymer fiber materials C Li, DR de Celis Leal, S Rana, S Gupta, A Sutti, S Greenhill, T Slezak, ... Scientific reports 7 (1), 1-10, 2017 | 58 | 2017 |
| High dimensional bayesian optimization using dropout C Li, S Gupta, S Rana, V Nguyen, S Venkatesh, A Shilton 26th International Joint Conference on Artificial Intelligence, 2096--2102, 2017 | 51 | 2017 |
| 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 | 47 | 2017 |
| Differentially private random forest with high utility S Rana, SK Gupta, S Venkatesh 2015 IEEE International Conference on Data Mining, 955-960, 2015 | 47 | 2015 |
| Predicting unplanned readmission after myocardial infarction from routinely collected administrative hospital data S Rana, T Tran, W Luo, D Phung, RL Kennedy, S Venkatesh Australian Health Review 38 (4), 377-382, 2014 | 40 | 2014 |
| A framework for feature extraction from hospital medical data with applications in risk prediction T Tran, W Luo, D Phung, S Gupta, S Rana, RL Kennedy, A Larkins, ... BMC bioinformatics 15 (1), 425, 2014 | 39* | 2014 |
| Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset W Luo, T Nguyen, M Nichols, T Tran, S Rana, S Gupta, D Phung, ... PloS one 10 (5), e0125602, 2015 | 25 | 2015 |
| 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 | 24* | 2016 |
| Budgeted batch Bayesian optimization V Nguyen, S Rana, SK Gupta, C Li, S Venkatesh 2016 IEEE 16th International Conference on Data Mining (ICDM), 1107-1112, 2016 | 23 | 2016 |
| A unified tensor framework for face recognition S Rana, W Liu, M Lazarescu, S Venkatesh Pattern Recognition 42 (11), 2850-2862, 2009 | 23 | 2009 |
| 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 | 22 | 2017 |
| Recognising faces in unseen modes: a tensor based approach S Rana, W Liu, M Lazarescu, S Venkatesh 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 21 | 2008 |
| Regret bounds for transfer learning in Bayesian optimisation A Shilton, S Gupta, S Rana, S Venkatesh AISTATS 2017: Machine Learning Research: Proceedings of the 20th Artificial …, 2017 | 16 | 2017 |
| Web search activity data accurately predict population chronic disease risk in the USA T Nguyen, T Tran, W Luo, S Gupta, S Rana, D Phung, M Nichols, L Millar, ... J Epidemiol Community Health 69 (7), 693-699, 2015 | 14 | 2015 |
| Large-scale statistical modeling of motion patterns: a Bayesian nonparametric approach S Rana, D Phung, S Pham, S Venkatesh Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and …, 2012 | 14 | 2012 |
| 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 | 13 | 2019 |
| Accelerating experimental design by incorporating experimenter hunches C Li, S Rana, S Gupta, V Nguyen, S Venkatesh, A Sutti, D Rubin, T Slezak, ... IEEE International Conference on Data Mining (ICDM), 257--266, 2018 | 13 | 2018 |
| A Bayesian nonparametric approach for multi-label classification V Nguyen, S Gupta, S Rana, C Li, S Venkatesh Asian conference on machine learning, 254-269, 2016 | 13 | 2016 |
| Flexible transfer learning framework for bayesian optimisation TT Joy, S Rana, SK Gupta, S Venkatesh Pacific-Asia Conference on Knowledge Discovery and Data Mining, 102-114, 2016 | 13 | 2016 |
Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
