Accurate validation of GCV-based regularization parameter for extreme learning machine. - Shraddha M. Naik; Ravi Prasad K. Jagannath (ICACCI, 2017)

Optimized Laplacian Generalized Classifier Neural Network. - Shraddha M. Naik; Ravi Prasad K. Jagannath; Venkatanareshbabu Kuppili (ICCCNT, 2018)

Bat algorithm-based weighted Laplacian probabilistic neural network. - Shraddha M. Naik; Ravi Prasad K. Jagannath; Venkatanareshbabu Kuppili (Neural Comput. Appl., 2020)

Skew Probabilistic Neural Networks for Learning from Imbalanced Data. - Shraddha M. Naik; Tanujit Chakraborty; Abdenour Hadid; Bibhas Chakraborty (CoRR, 2023)

DssPyLib: An open-source python FEM software to solve Poisson equation in 2-D using distributed source scheme. - Nithin Kumar Goona; Shraddha M. Naik; Saidi Reddy Parne; Anand Paul (SoftwareX, 2023)

Exponential filtering technique for Euclidean norm-regularized extreme learning machines. - Shraddha M. Naik; Chinnamuthu Subramani; Ravi Prasad K. Jagannath; Anand Paul 001 (Pattern Anal. Appl., 2023)

Learning Patterns from Biological Networks: A Compounded Burr Probability Model. - Tanujit Chakraborty; Shraddha M. Naik; Swarup Chattopadhyay; Suchismita Das (CoRR, 2024)

Maximal Extractable Value in Decentralized Finance: Taxonomy, Detection, and Mitigation. - Huned Materwala; Shraddha M. Naik; Aya Taha; Tala Abdulrahman Abed; Davor Svetinovic (CoRR, 2024)

Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art. - Tanujit Chakraborty; Ujjwal Reddy K. S; Shraddha M. Naik; Madhurima Panja; Bayapureddy Manvitha (Mach. Learn. Sci. Technol., 2024)

Skew-probabilistic neural networks for learning from imbalanced data. - Shraddha M. Naik; Tanujit Chakraborty; Madhurima Panja; Abdenour Hadid; Bibhas Chakraborty (Pattern Recognit., 2025)