Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean. - Anubha Parashar; Apoorva Parashar; Somya Goyal; Bharat Sahjalan (ICTCS, 2016)

Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean. - Anubha Parashar; Apoorva Parashar; Somya Goyal (Int. J. Interact. Multim. Artif. Intell., 2016)

Identification of gait data using machine learning technique to categories human locomotion. - Anubha Parashar; Apoorva Parashar; Somya Goyal (SIN, 2017)

Comparison of Machine Learning Techniques for Software Quality Prediction. - Somya Goyal (Int. J. Knowl. Syst. Sci., 2020)

Predicting the Defects using Stacked Ensemble Learner with Filtered Dataset. - Somya Goyal (Autom. Softw. Eng., 2021)

Handling Class-Imbalance with KNN (Neighbourhood) Under-Sampling for Software Defect Prediction. - Somya Goyal (Artif. Intell. Rev., 2022)

Genetic Evolution-Based Feature Selection for Software Defect Prediction Using SVMs. - Somya Goyal (J. Circuits Syst. Comput., 2022)

Heterogeneous stacked ensemble classifier for software defect prediction. - Somya Goyal; Pradeep Kumar Bhatia (Multim. Tools Appl., 2022)

Effective software defect prediction using support vector machines (SVMs). - Somya Goyal (Int. J. Syst. Assur. Eng. Manag., 2022)

Static code metrics-based deep learning architecture for software fault prediction. - Somya Goyal (Soft Comput., 2022)

Software fault prediction using evolving populations with mathematical diversification. - Somya Goyal (Soft Comput., 2022)

3PcGE: 3-parent child-based genetic evolution for software defect prediction. - Somya Goyal (Innov. Syst. Softw. Eng., 2023)

Current Trends in Class Imbalance Learning for Software Defect Prediction. - Somya Goyal (IEEE Access, 2025)