Prediction of Risk Factors for Fall using Bayesian Networks with Partial Health Information. - Gulshan Sihag; Véronique Delcroix; Emmanuelle Grislin; Xavier Siebert; Sylvain Piechowiak; François Puisieux (GLOBECOM (Workshops), 2020)

Evaluation of Risk Factors for Fall in Elderly People from Imbalanced Data using the Oversampling Technique SMOTE. - Gulshan Sihag; Pankaj Yadav; Véronique Delcroix; Vivek Vijay 001; Xavier Siebert; Sandeep Kumar Yadav; François Puisieux (ICT4AWE, 2022)

Advantages of Oversampling Techniques: A Case Study in Risk Factors for Fall Prediction. - Gulshan Sihag; Pankaj Yadav; Vivek Vijay 001; Véronique Delcroix; Xavier Siebert; Sandeep Kumar Yadav; François Puisieux (ICT4AWE (Revised Selected Papers), 2022)

Evaluation of risk factors for falls in the elderly based on a real data set using Bayesian networks. (Evaluation des facteurs de risque de chute chez les personnes âgées à l'aide de réseaux bayésiens basés sur un ensemble de données réelles). - Gulshan Sihag (2023)

Combining real data and expert knowledge to build a Bayesian Network - Application to assess multiple risk factors for fall among elderly people. - Gulshan Sihag; Véronique Delcroix; Emmanuelle Grislin-Le Strugeon; Xavier Siebert; Sylvain Piechowiak; François Puisieux (Expert Syst. Appl., 2024)

Enhancing Synthetic Oversampling for Imbalanced Datasets Using Proxima-Orion Neighbors and q-Gaussian Weighting Technique. - Pankaj Yadav; Vivek Vijay; Gulshan Sihag (CoRR, 2025)

Rebalancing the Scales: A Systematic Mapping Study of Generative Adversarial Networks (GANs) in Addressing Data Imbalance. - Pankaj Yadav; Gulshan Sihag; Vivek Vijay (CoRR, 2025)