| Hyperparameter tuning for big data using Bayesian optimisation TT Joy, S Rana, S Gupta, S Venkatesh International Conference on Pattern Recognition (ICPR), 2574-2579, 2016 | 24* | 2016 |
| 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 |
| 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 |
| Improving the flexibility of dynamic prosody modification using instants of significant excitation D Govind, TT Joy Circuits, Systems, and Signal Processing 35 (7), 2518-2543, 2016 | 10 | 2016 |
| Batch Bayesian optimization using multi-scale search TT Joy, S Rana, S Gupta, S Venkatesh Knowledge-Based Systems 187, 104818, 2020 | 6 | 2020 |
| Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives TT Joy, S Rana, S Gupta, S Venkatesh Knowledge-Based Systems 205, 106247, 2020 | 4 | 2020 |
| Efficient hyperparameter tuning using Bayesian optimization T Theckel Joy Deakin University, 2019 | | 2019 |
| Multiple Recommendation for Bayesian optimization via Multi-Scale Search TT Joy, S Rana, S Gupta, S Venkatesh Neural Information Processing Systems (NIPS) Workshop on Bayesian Optimization, 2016 | | 2016 |
| Analysis of Segmental Durations and Significance of Dynamic Duration Modification for Emotion Conversion TT Joy, D Govind | | |
Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
