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ORCIDHitesh Chhinkaniwala
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Journal Articles
- 2024
[j7]Pranshav Gajjar, Manav Garg, Shivani Desai
, Hitesh Chhinkaniwala, Harshal A. Sanghvi, Riki H. Patel, Shailesh Gupta, Abhijit S. Pandya:
An Empirical Analysis of Diffusion, Autoencoders, and Adversarial Deep Learning Models for Predicting Dementia Using High-Fidelity MRI. IEEE Access 12: 131231-131243 (2024)- 2022
- [j6]Jitali Patel, Hitesh Chhinkaniwala:
The role of sentiment analysis in a recommender system: a systematic survey. Int. J. Web Eng. Technol. 17(1): 29-62 (2022) - 2021
- [j5]Jitali Patel, Hitesh Chhinkaniwala:
A fusion of aspect and contextual information for rating prediction in recommender system using a latent factor model. Int. J. Web Eng. Technol. 16(1): 30-52 (2021) - 2019
- [j4]Darshna Patel, Saurabh Shah, Hitesh Chhinkaniwala:
Fuzzy logic based multi document summarization with improved sentence scoring and redundancy removal technique. Expert Syst. Appl. 134: 167-177 (2019) - [j3]Nimesh V. Patel, Hitesh Chhinkaniwala:
Investigating Machine Learning Techniques for User Sentiment Analysis. Int. J. Decis. Support Syst. Technol. 11(3): 1-12 (2019) - 2018
- [j2]Darshna Patel, Hitesh Chhinkaniwala:
Fuzzy logic-based single document summarisation with improved sentence scoring technique. Int. J. Knowl. Eng. Data Min. 5(1/2): 125-138 (2018) - [j1]Paresh Solanki, Sanjay Garg, Hitesh Chhinkaniwala:
Heuristic-based hybrid privacy-preserving data stream mining approach using SD-perturbation and multi-iterative k-anonymisation. Int. J. Knowl. Eng. Data Min. 5(4): 306-332 (2018)
Informal and Other Publications
- 2014
- [i2]Hitesh Chhinkaniwala, Sanjay Garg:
Privacy Gain Based Multi-Iterative k-Anonymization to Protect Respondents Privacy. CoRR abs/1403.5250 (2014) - 2013
- [i1]Hitesh Chhinkaniwala, Sanjay Garg:
Tuple Value Based Multiplicative Data Perturbation Approach To Preserve Privacy In Data Stream Mining. CoRR abs/1306.1334 (2013)
Coauthor Index
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