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Tinu Theckel Joy
Tinu Theckel Joy
IBM Research
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Titel
Zitiert von
Zitiert von
Jahr
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
120*2016
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives
TT Joy, S Rana, S Gupta, S Venkatesh
Knowledge-Based Systems 205, 106247, 2020
792020
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
652019
Batch Bayesian optimization using multi-scale search
TT Joy, S Rana, S Gupta, S Venkatesh
Knowledge-Based Systems 187, 104818, 2020
512020
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
222016
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
122016
Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images
TT Joy, S Sedai, R Garnavi
arXiv preprint arXiv:2101.08888, 2021
72021
A corpus for differential diagnosis: an eye diseases use case
AJ Yepes, DM Iraola, P Barnard, TT Joy
bioRxiv, 2021.05. 10.443343, 2021
2021
Efficient hyperparameter tuning using Bayesian optimization
T T Joy
Deakin University, 2019
2019
Multiple Recommendation for Bayesian optimization via Multi-Scale Search
TT Joy, S Rana, S Gupta, S Venkatesh
30th Annual Conference on Advances in Neural Information Processing Systems …, 2016
2016
Analysis of Segmental Durations and Significance of Dynamic Duration Modification for Emotion Conversion
TT Joy, D Govind
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