Comparing the performance of data mining techniques for oral cancer prediction. - Neha Sharma 003 (ICCCS, 2011)

Suggested Methodologies for Enhancing SAD. - Neha Sharma 003; Deepali Sawai (ICETET, 2011)

Data mining models for predicting oral cancer survivability. - Neha Sharma 003; Hari Om (Netw. Model. Anal. Health Informatics Bioinform., 2013)

Using MLP and SVM for predicting survival rate of oral cancer patients. - Neha Sharma 003; Hari Om (Netw. Model. Anal. Health Informatics Bioinform., 2014)

Significant patterns for oral cancer detection: association rule on clinical examination and history data. - Neha Sharma 003; Hari Om (Netw. Model. Anal. Health Informatics Bioinform., 2014)

GMDH polynomial and RBF neural network for oral cancer classification. - Neha Sharma 003; Hari Om (Netw. Model. Anal. Health Informatics Bioinform., 2015)

Hybrid framework using data mining techniques for early detection and prevention of oral cancer. - Neha Sharma 003; Hari Om (Int. J. Adv. Intell. Paradigms, 2017)

Fostering a Holistic Approach to Engineering Education: An Experimental Perspective. - GS Mani; Neha Sharma 003 (FIE, 2023)

Topological Analysis of Dermatoglyphic Patterns using Synthetic and Real Data. - Prasad D. Devkar; Nalini Ajwani; Sudarshan Malla; Aasttha Bhatt; Mahiman Dave; Neha Sharma 003; Mrityunjoy Panday; Chittaranjan S. Yajnik (ICDCN, 2025)

Predicting Fetal Birthweight from High Dimensional Data using Advanced Machine Learning. - Nachiket Kapure; Harsh Joshi; Rajeshwari Mistri; Parul Kumari; Manasi Mali; Seema Purohit; Neha Sharma 003; Mrityunjoy Panday; Chittaranjan S. Yajnik (CoRR, 2025)