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Deepthi Praveenlal Kuttichira
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Journal Articles
- 2022
- [j1]Deepthi Praveenlal Kuttichira, Sunil Gupta
, Dang Nguyen
, Santu Rana
, Svetha Venkatesh:
Verification of integrity of deployed deep learning models using Bayesian Optimization. Knowl. Based Syst. 241: 108238 (2022)
Conference and Workshop Papers
- 2023
- [c7]Basim Azam, Brijesh K. Verma, Deepthi Praveenlal Kuttichira, Abdul Sattar:
A Novel Graph-based Framework for Explainable Image Classification: Features That Matter. DICTA 2023: 145-151 - [c6]Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang:
Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. IJCNN 2023: 1-8 - [c5]Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang, Abdul Sattar:
Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph. IVCNZ 2023: 1-6 - 2022
- [c4]Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang:
A Novel Explainable Deep Learning Model with Class Specific Features. IVCNZ 2022: 62-74 - 2019
- [c3]Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh:
Detection of Compromised Models Using Bayesian Optimization. Australasian Conference on Artificial Intelligence 2019: 485-496 - [c2]Deepthi Praveenlal Kuttichira, Sunil Gupta, Cheng Li, Santu Rana, Svetha Venkatesh:
Explaining Black-Box Models Using Interpretable Surrogates. PRICAI (1) 2019: 3-15 - 2017
- [c1]Deepthi Praveenlal Kuttichira, E. A. Gopalakrishnan, Vijay Krishna Menon
, K. P. Soman:
Stock price prediction using dynamic mode decomposition. ICACCI 2017: 55-60
Coauthor Index
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