Stock price prediction using dynamic mode decomposition. - Deepthi Praveenlal Kuttichira; E. A. Gopalakrishnan; Vijay Krishna Menon; K. P. Soman (ICACCI, 2017)

Detection of Compromised Models Using Bayesian Optimization. - Deepthi Praveenlal Kuttichira; Sunil Gupta 001; Dang Nguyen 002; Santu Rana; Svetha Venkatesh (Australasian Conference on Artificial Intelligence, 2019)

Explaining Black-Box Models Using Interpretable Surrogates. - Deepthi Praveenlal Kuttichira; Sunil Gupta 001; Cheng Li 003; Santu Rana; Svetha Venkatesh (PRICAI (1), 2019)

A Novel Explainable Deep Learning Model with Class Specific Features. - Deepthi Praveenlal Kuttichira; Basim Azam; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang (IVCNZ, 2022)

Verification of integrity of deployed deep learning models using Bayesian Optimization. - Deepthi Praveenlal Kuttichira; Sunil Gupta 001; Dang Nguyen 002; Santu Rana; Svetha Venkatesh (Knowl. Based Syst., 2022)

A Novel Graph-based Framework for Explainable Image Classification: Features That Matter. - Basim Azam; Brijesh K. Verma; Deepthi Praveenlal Kuttichira; Abdul Sattar 001 (DICTA, 2023)

Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. - Deepthi Praveenlal Kuttichira; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang (IJCNN, 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 001 (IVCNZ, 2023)

Optimizing CNNs with Gram Schmidt Non-iterative Learning for Image Recognition. - Deepthi Praveenlal Kuttichira; Basim Azam; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang (ICONIP (3), 2024)

Neuron Efficiency Index: An Empirical Method for Optimizing Parameters in Deep Learning. - Basim Azam; Deepthi Praveenlal Kuttichira; Brijesh K. Verma (IJCNN, 2024)

Explainable Image Recognition With Graph-Based Feature Extraction. - Basim Azam; Deepthi Praveenlal Kuttichira; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang (IEEE Access, 2024)

A Novel Non-iterative Training Method for CNN Classifiers Using Gram-Schmidt Process. - Basim Azam; Deepthi Praveenlal Kuttichira; Pubudu Sanjeewani; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang (Neural Process. Lett., 2025)