Fraudulent Firm Classification: A Case Study of an External Audit. - Nishtha Hooda; Seema Bawa; Prashant Singh Rana (Appl. Artif. Intell., 2018)

B2FSE framework for high dimensional imbalanced data: A case study for drug toxicity prediction. - Nishtha Hooda; Seema Bawa; Prashant Singh Rana (Neurocomputing, 2018)

Audit Data. - Nishtha Hooda (UCI Machine Learning Repository, 2018)

N-semble: neural network based ensemble approach. - Rishith Rayal; Divya Khanna; Jasminder Kaur Sandhu; Nishtha Hooda; Prashant Singh Rana (Int. J. Mach. Learn. Cybern., 2019)

Optimized Ensemble Machine Learning Framework for High Dimensional Imbalanced Bio Assays. - Rohit Sharma 002; Nishtha Hooda (Rev. d'Intelligence Artif., 2019)

Optimizing Fraudulent Firm Prediction Using Ensemble Machine Learning: A Case Study of an External Audit. - Nishtha Hooda; Seema Bawa; Prashant Singh Rana (Appl. Artif. Intell., 2020)

Deep learning-based bird eye view social distancing monitoring using surveillance video for curbing the COVID-19 spread. - Raghav Magoo; Harpreet Singh; Neeru Jindal; Nishtha Hooda; Prashant Singh Rana (Neural Comput. Appl., 2021)

Prediction of Malignant Breast Cancer Cases Using Ensemble Machine Learning: A Case Study of Pesticides Prone Area. - Nishtha Hooda; Ruchika Gupta; Nidhi Rani Gupta (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

k-anonymization of social network data using Neural Network and SVM: K-NeuroSVM. - Harmanjeet Kaur; Nishtha Hooda; Harpreet Singh (J. Inf. Secur. Appl., 2023)

Efficient RIEV: a novel framework for the prediction of breast cancer cases using ensemble machine learning. - Akriti Sharma; Nishtha Hooda; Nidhi Rani Gupta; Renu Sharma (Netw. Model. Anal. Health Informatics Bioinform., 2023)