Enhanced utility in preserving privacy for multiple heterogeneous sensitive attributes using correlation and personal sensitivity flags. - K. Ashoka; B. Poornima (ICACCI, 2017)

A comprehensive survey on non-photorealistic rendering and benchmark developments for image abstraction and stylization. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath (Iran J. Comput. Sci., 2019)

Structure Preserving Non-Photorealistic Rendering Framework for Image Abstraction and Stylization of Low-Illuminated and Underexposed Images. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath (Int. J. Comput. Vis. Image Process., 2021)

Structure-preserving NPR framework for image abstraction and stylization. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath (J. Supercomput., 2021)

A Refined Structure Preserving Image Abstraction Framework as a Pre-Processing Technique for Desire Focusing on Prominent Structure and Artistic Stylization. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath; B. E. Rangaswamy (Vietnam. J. Comput. Sci., 2021)

Multi-gradient-direction based deep learning model for arecanut disease identification. - S. B. Mallikarjuna; Palaiahnakote Shivakumara; Vijeta Khare; M. Basavanna; Umapada Pal 001; B. Poornima (CAAI Trans. Intell. Technol., 2022)

HDR and image abstraction framework for dirt free line drawing to convey the shapes from blatant range images. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath; B. E. Rangaswamy (Multidimens. Syst. Signal Process., 2022)

Image Abstraction Framework as a Pre-processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning Approaches. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath; B. E. Rangaswamy; M. Varsha; H. P. Vinutha (SN Comput. Sci., 2022)

Correction to: Image Abstraction Framework as a Pre‑processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning Approaches. - M. P. Pavan Kumar; B. Poornima; H. S. Nagendraswamy; C. Manjunath; B. E. Rangaswamy; M. Varsha; H. P. Vinutha (SN Comput. Sci., 2022)

Novel hybrid ARIMA-BiLSTM model for forecasting of rice blast disease outbreaks for sustainable rice production. - M. Varsha; B. Poornima; M. P. Pavan Kumar; S. Basavarajappa (Iran J. Comput. Sci., 2023)

Detecting GPS spoofing in smart AVS: an accuracy-based machine learning approach. - B. Poornima; Lalitha Surya Kumari (Int. J. Syst. Assur. Eng. Manag., 2025)

Investigation of Myocardial Bioimpedance at Multiple Frequencies for Cardiac Radiofrequency Ablation: Ex-Vivo Experiments. - Duc Nguyen Minh; X. Liu; B. Tony; Edward Yang; T. T. Vu; B. Poornima; N. D. Thuan; Alistair Lee McEwan; Pierre Qian (IEEE Trans. Biomed. Eng., 2025)