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Tinu Theckel Joy
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- affiliation: IBM Research
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2020 – today
- 2021
- [i2]Tinu Theckel Joy, Suman Sedai, Rahil Garnavi:
Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images. CoRR abs/2101.08888 (2021) - 2020
- [j4]Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Batch Bayesian optimization using multi-scale search. Knowl. Based Syst. 187 (2020) - [j3]Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Fast hyperparameter tuning using Bayesian optimization with directional derivatives. Knowl. Based Syst. 205: 106247 (2020)
2010 – 2019
- 2019
- [j2]Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
A flexible transfer learning framework for Bayesian optimization with convergence guarantee. Expert Syst. Appl. 115: 656-672 (2019) - [i1]Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives. CoRR abs/1902.02416 (2019) - 2016
- [j1]D. Govind, Tinu Theckel Joy:
Improving the Flexibility of Dynamic Prosody Modification Using Instants of Significant Excitation. Circuits Syst. Signal Process. 35(7): 2518-2543 (2016) - [c2]Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Hyperparameter tuning for big data using Bayesian optimisation. ICPR 2016: 2574-2579 - [c1]Tinu Theckel Joy, Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh:
Flexible Transfer Learning Framework for Bayesian Optimisation. PAKDD (1) 2016: 102-114
Coauthor Index
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