Nishtha Hooda

According to our database, Nishtha Hooda authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2023

k-anonymization of social network data using Neural Network and SVM: K-NeuroSVM.

Harmanjeet Kaur, Nishtha Hooda, Harpreet Singh

J. Inf. Secur. Appl., 2023

2022

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

2021

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

2020

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

2019

Optimized Ensemble Machine Learning Framework for High Dimensional Imbalanced Bio Assays.

Rohit Sharma, Nishtha Hooda

Rev. d'Intelligence Artif., 2019

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

2018

Audit Data.

Nishtha Hooda

Dataset, July, 2018

B²FSE framework for high dimensional imbalanced data: A case study for drug toxicity prediction.

Nishtha Hooda, Seema Bawa, Prashant Singh Rana

Neurocomputing, 2018

Fraudulent Firm Classification: A Case Study of an External Audit.

Nishtha Hooda, Seema Bawa, Prashant Singh Rana

Appl. Artif. Intell., 2018