Lavneet Singh
According to our database1,
Lavneet Singh
authored at least 15 papers
between 2011 and 2022.
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Bibliography
2022
RMVRVM - A Paradigm for Creating Energy Efficient User Applications Connected to Cloud through REST API.
Proceedings of the ISEC 2022: 15th Innovations in Software Engineering Conference, Gandhinagar, India, February 24, 2022
2018
Customer Life Time Value Model Framework Using Gradient Boost Trees with RANSAC Response Regularization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2015
Email Personalization and User Profiling Using RANSAC Multi Model Response Regression Based Optimized Pruning Extreme Learning Machines and Gradient Boosting Trees.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
RANSAC Multi Model Response Regression based Pruned Extreme Learning Machines for Multiclass problems.
Aust. J. Intell. Inf. Process. Syst., 2014
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
Optimized Pruned Annular Extreme Learning Machines.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014
2012
A Novel Machine Learning Approach for Detecting the Brain Abnormalities from MRI Structural Images.
Proceedings of the Pattern Recognition in Bioinformatics, 2012
A Hybrid Approach to Increase the Performance of Protein Folding Recognition Using Support Vector Machines.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Using Hybrid Neural Networks for Identifying the Brain Abnormalities from MRI Structural Images.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
A Novel Approach to Protein Structure Prediction Using PCA or LDA Based Extreme Learning Machines.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
A Comparative Study of Recognition of Speech Using Improved MFCC Algorithms and Rasta Filters.
Proceedings of the Information Systems, Technology and Management, 2012
A Novel Approach to Protein Structure Prediction Using PCA Based Extreme Learning Machines and Multiple Kernels.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2012
A Comparative Study of MRI Data using Various Machine Learning and Pattern Recognition Algorithms to Detect Brain Abnormalities.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012
2011
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.
Proceedings of the Information Intelligence, Systems, Technology and Management, 2011