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2020 – today
- 2023
[j9]Harmanjeet Kaur, Nishtha Hooda
, Harpreet Singh:
k-anonymization of social network data using Neural Network and SVM: K-NeuroSVM. J. Inf. Secur. Appl. 72: 103382 (2023)- [j8]Akriti Sharma, Nishtha Hooda, Nidhi Rani Gupta, Renu Sharma:
Efficient RIEV: a novel framework for the prediction of breast cancer cases using ensemble machine learning. Netw. Model. Anal. Health Informatics Bioinform. 12(1): 29 (2023) - 2022
- [j7]Nishtha Hooda, Ruchika Gupta, Nidhi Rani Gupta:
Prediction of Malignant Breast Cancer Cases Using Ensemble Machine Learning: A Case Study of Pesticides Prone Area. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1096-1104 (2022) - 2021
- [j6]Raghav Magoo, Harpreet Singh, Neeru Jindal, Nishtha Hooda, Prashant Singh Rana:
Deep learning-based bird eye view social distancing monitoring using surveillance video for curbing the COVID-19 spread. Neural Comput. Appl. 33(22): 15807-15814 (2021) - 2020
- [j5]Nishtha Hooda, Seema Bawa, Prashant Singh Rana:
Optimizing Fraudulent Firm Prediction Using Ensemble Machine Learning: A Case Study of an External Audit. Appl. Artif. Intell. 34(1): 20-30 (2020)
2010 – 2019
- 2019
- [j4]Rishith Rayal, Divya Khanna, Jasminder Kaur Sandhu, Nishtha Hooda, Prashant Singh Rana:
N-semble: neural network based ensemble approach. Int. J. Mach. Learn. Cybern. 10(2): 337-345 (2019) - [j3]Rohit Sharma, Nishtha Hooda:
Optimized Ensemble Machine Learning Framework for High Dimensional Imbalanced Bio Assays. Rev. d'Intelligence Artif. 33(5): 387-392 (2019) - 2018
- [j2]Nishtha Hooda, Seema Bawa, Prashant Singh Rana:
Fraudulent Firm Classification: A Case Study of an External Audit. Appl. Artif. Intell. 32(1): 48-64 (2018) - [j1]Nishtha Hooda, Seema Bawa, Prashant Singh Rana:
B2FSE framework for high dimensional imbalanced data: A case study for drug toxicity prediction. Neurocomputing 276: 31-41 (2018) - [d1]Nishtha Hooda:
Audit Data. UCI Machine Learning Repository, 2018
Coauthor Index
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