Deepthi Praveenlal Kuttichira

According to our database, Deepthi Praveenlal Kuttichira authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explainable Image Recognition With Graph-Based Feature Extraction.

Basim Azam, Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang

IEEE Access, 2024

Neuron Efficiency Index: An Empirical Method for Optimizing Parameters in Deep Learning.

Basim Azam, Deepthi Praveenlal Kuttichira, Brijesh K. Verma

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph.

Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang, Abdul Sattar

Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations.

Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang

Proceedings of the International Joint Conference on Neural Networks, 2023

A Novel Graph-based Framework for Explainable Image Classification: Features That Matter.

Basim Azam, Brijesh K. Verma, Deepthi Praveenlal Kuttichira, Abdul Sattar

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Verification of integrity of deployed deep learning models using Bayesian Optimization.

Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh

Knowl. Based Syst., 2022

A Novel Explainable Deep Learning Model with Class Specific Features.

Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang

Proceedings of the Image and Vision Computing - 37th International Conference, 2022

2019

Explaining Black-Box Models Using Interpretable Surrogates.

Deepthi Praveenlal Kuttichira, Sunil Gupta, Cheng Li, Santu Rana, Svetha Venkatesh

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Detection of Compromised Models Using Bayesian Optimization.

Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2017

Stock price prediction using dynamic mode decomposition.

Deepthi Praveenlal Kuttichira, E. A. Gopalakrishnan, Vijay Krishna Menon, K. P. Soman

Proceedings of the 2017 International Conference on Advances in Computing, 2017