Comparative Analysis of Impact of Various Global Stock Markets and Determinants on Indian Stock Market Performance - A Case Study Using Multiple Linear Regression and Neural Networks. - Avinash Pokhriyal; Lavneet Singh; Savleen Singh (ICISTM, 2011)

A Comparative Study of MRI Data using Various Machine Learning and Pattern Recognition Algorithms to Detect Brain Abnormalities. - Lavneet Singh; Girija Chetty (AusDM, 2012)

A Novel Approach to Protein Structure Prediction Using PCA Based Extreme Learning Machines and Multiple Kernels. - Lavneet Singh; Girija Chetty; Dharmendra Sharma 001 (ICA3PP (2), 2012)

A Comparative Study of Recognition of Speech Using Improved MFCC Algorithms and Rasta Filters. - Lavneet Singh; Girija Chetty (ICISTM, 2012)

A Novel Approach to Protein Structure Prediction Using PCA or LDA Based Extreme Learning Machines. - Lavneet Singh; Girija Chetty; Dharmendra Sharma 001 (ICONIP (4), 2012)

Using Hybrid Neural Networks for Identifying the Brain Abnormalities from MRI Structural Images. - Lavneet Singh; Girija Chetty; Dharmendra Sharma 001 (ICONIP (5), 2012)

A novel image watermarking scheme using Extreme Learning Machine. - Anurag Mishra; Amita Goel; Rampal Singh; Girija Chetty; Lavneet Singh (IJCNN, 2012)

A Hybrid Approach to Increase the Performance of Protein Folding Recognition Using Support Vector Machines. - Lavneet Singh; Girija Chetty; Dharmendra Sharma 001 (MLDM, 2012)

A Novel Machine Learning Approach for Detecting the Brain Abnormalities from MRI Structural Images. - Lavneet Singh; Girija Chetty; Dharmendra Sharma 001 (PRIB, 2012)

Optimized Pruned Annular Extreme Learning Machines. - Lavneet Singh; Girija Chetty (AusDM, 2014)

An Optimal Approach for Pruning Annular Regularized Extreme Learning Machines. - Lavneet Singh; Girija Chetty (ICDM Workshops, 2014)

RANSAC Multi Model Response Regression based Pruned Extreme Learning Machines for Multiclass problems. - Lavneet Singh; Girija Chetty (Aust. J. Intell. Inf. Process. Syst., 2014)

Email Personalization and User Profiling Using RANSAC Multi Model Response Regression Based Optimized Pruning Extreme Learning Machines and Gradient Boosting Trees. - Lavneet Singh; Girija Chetty (ICONIP (1), 2015)

Customer Life Time Value Model Framework Using Gradient Boost Trees with RANSAC Response Regularization. - Lavneet Singh; Nancy Kaur; Girija Chetty (IJCNN, 2018)

RMVRVM - A Paradigm for Creating Energy Efficient User Applications Connected to Cloud through REST API. - Lavneet Singh (ISEC, 2022)

A study on creating energy efficient cloud-connected user applications using the RMVRVM paradigm. - Lavneet Singh; Saurabh Tiwari 001; Sanjay Srivastava (J. Syst. Softw., 2024)

Adoption of RMVRVM Paradigm in Industrial Setting: An Empirical Study. - Lavneet Singh; Saurabh Tiwari 001 (ISEC, 2025)