Tuple Value Based Multiplicative Data Perturbation Approach To Preserve Privacy In Data Stream Mining. - Hitesh Chhinkaniwala; Sanjay Garg (CoRR, 2013)

Privacy Gain Based Multi-Iterative k-Anonymization to Protect Respondents Privacy. - Hitesh Chhinkaniwala; Sanjay Garg (CoRR, 2014)

Fuzzy logic-based single document summarisation with improved sentence scoring technique. - Darshna Patel; Hitesh Chhinkaniwala (Int. J. Knowl. Eng. Data Min., 2018)

Heuristic-based hybrid privacy-preserving data stream mining approach using SD-perturbation and multi-iterative k-anonymisation. - Paresh Solanki; Sanjay Garg; Hitesh Chhinkaniwala (Int. J. Knowl. Eng. Data Min., 2018)

Fuzzy logic based multi document summarization with improved sentence scoring and redundancy removal technique. - Darshna Patel; Saurabh Shah; Hitesh Chhinkaniwala (Expert Syst. Appl., 2019)

Investigating Machine Learning Techniques for User Sentiment Analysis. - Nimesh V. Patel; Hitesh Chhinkaniwala (Int. J. Decis. Support Syst. Technol., 2019)

A fusion of aspect and contextual information for rating prediction in recommender system using a latent factor model. - Jitali Patel; Hitesh Chhinkaniwala (Int. J. Web Eng. Technol., 2021)

The role of sentiment analysis in a recommender system: a systematic survey. - Jitali Patel; Hitesh Chhinkaniwala (Int. J. Web Eng. Technol., 2022)

Enhancing Parkinson's Disease Diagnosis through Deep Learning-Based Classification of 3D MRI Images. - Shivani Desai; Hitesh Chhinkaniwala; Smit Shah 001; Pranshav Gajjar (ICMLDE, 2023)

An Empirical Analysis of Diffusion, Autoencoders, and Adversarial Deep Learning Models for Predicting Dementia Using High-Fidelity MRI. - Pranshav Gajjar; Manav Garg; Shivani Desai; Hitesh Chhinkaniwala; Harshal A. Sanghvi; Riki H. Patel; Shailesh Gupta; Abhijit S. Pandya (IEEE Access, 2024)