Tinu Theckel Joy

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 8

Top Topics

Transfer Learning

Directional Derivatives

Top Venues

Knowl. Based Syst.

Publications

Tinu Theckel Joy, Suman Sedai, Rahil Garnavi
Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images. CoRR (2021)
Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh
Fast hyperparameter tuning using Bayesian optimization with directional derivatives. Knowl. Based Syst. 205 (2020)
Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh
Batch Bayesian optimization using multi-scale search. Knowl. Based Syst. 187 (2020)
Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh
A flexible transfer learning framework for Bayesian optimization with convergence guarantee. Expert Syst. Appl. 115 (2019)
Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives. CoRR (2019)
D. Govind, Tinu Theckel Joy
Improving the Flexibility of Dynamic Prosody Modification Using Instants of Significant Excitation. Circuits Syst. Signal Process. 35 (7) (2016)
Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh
Hyperparameter tuning for big data using Bayesian optimisation. ICPR (2016)
Tinu Theckel Joy, Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh
Flexible Transfer Learning Framework for Bayesian Optimisation. PAKDD (1) (2016)