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)

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

Optimizing CNNs with Gram Schmidt Non-iterative Learning for Image Recognition - Deepthi Praveenlal Kuttichira; Basim Azam; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang (Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part III, 2024)

Neuron Efficiency Index: An Empirical Method for Optimizing Parameters in Deep Learning - Basim Azam; Deepthi Praveenlal Kuttichira; Brijesh K. Verma (International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024, 2024)

A Novel Graph-based Framework for Explainable Image Classification: Features That Matter - Basim Azam; Brijesh K. Verma; Deepthi Praveenlal Kuttichira; Abdul Sattar (International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, Port Macquarie, Australia, November 28 - Dec. 1, 2023, 2023)

Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations - Deepthi Praveenlal Kuttichira; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang (International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023, 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 (38th International Conference on Image and Vision Computing New Zealand, IVCNZ 2023, Palmerston North, New Zealand, November 29-30, 2023, 2023)

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 (Image and Vision Computing - 37th International Conference, IVCNZ 2022, Auckland, New Zealand, November 24-25, 2022, Revised Selected Papers, 2022)

Detection of Compromised Models Using Bayesian Optimization - Deepthi Praveenlal Kuttichira; Sunil Gupta; Dang Nguyen; Santu Rana; Svetha Venkatesh (AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference, Adelaide, SA, Australia, December 2-5, 2019, Proceedings, 2019)

Explaining Black-Box Models Using Interpretable Surrogates - Deepthi Praveenlal Kuttichira; Sunil Gupta; Cheng Li; Santu Rana; Svetha Venkatesh (PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part I, 2019)

Stock price prediction using dynamic mode decomposition - Deepthi Praveenlal Kuttichira; E. A. Gopalakrishnan; Vijay Krishna Menon; K. P. Soman (2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Udupi (Near Mangalore), India, September 13-16, 2017, 2017)