A Novel Image Watermarking Scheme Using Extreme Learning Machine A Mishra, A Goel | 61* | |
A Novel Machine Learning Approach for Detecting the Brain Abnormalities from MRI Structural Images L Singh, G Chetty, D Sharma Pattern Recognition in Bioinformatics, 94-105, 2012 | 44 | 2012 |
A comparative study of MRI data using various machine learning and pattern recognition algorithms to detect brain abnormalities L Singh, G Chetty Proceedings of the Tenth Australasian Data Mining Conference-Volume 134, 157-165, 2012 | 17 | 2012 |
Review of classification of brain abnormalities in magnetic resonance images using pattern recognition and machine learning L Singh, G Chetty Proceedings of International Conference of Neuro Computing and Evolving …, 2012 | 16 | 2012 |
Intercharacter association and path analysis in paddy (Oryza sativa L.). L Singh, JD Singh, NS Sachan | 16 | 2002 |
Medicinal and nutritional values of drumstick tree (moringa oleifera): a review L Singh, J Singh, J Singh International Journal of Current Microbiology and Applied Sciences 8 (5 …, 2019 | 13 | 2019 |
A Novel Approach for protein Structure prediction Using Pattern Recognition and Extreme Machine Learning GC Lavneet Singh Proceedings of International Conference of Neuro Computing and Evolving …, 2012 | 10 | 2012 |
Applications of clustering algorithms and self organizing maps as data mining and business intelligence tools on real world data sets L Singh, S Singh, PK Dubey International Conference on Methods and Models in Computer Science (ICM2CS …, 2010 | 10 | 2010 |
A comparative study of recognition of speech using improved MFCC algorithms and Rasta filters L Singh, G Chetty Information Systems, Technology and Management: 6th International Conference …, 2012 | 9 | 2012 |
Assessment of crop residue potential for power generation using geographical information system L Singh, J Singh NISCAIR-CSIR, India, 2015 | 8 | 2015 |
Email Personalization and User Profiling Using RANSAC Multi Model Response Regression Based Optimized Pruning Extreme Learning Machines and Gradient Boosting Trees L Singh, G Chetty Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015 | 8 | 2015 |
A Hybrid Approach to Increase the Performance of Protein Folding Recognition Using Support Vector Machines L Singh, G Chetty, D Sharma Machine Learning and Data Mining in Pattern Recognition, 660-668, 2012 | 8 | 2012 |
A novel algorithm using MFCC and ERB gammatone filters in speech recognition L Singh, G Chetty, S Singh Journal of Information Systems and Communication 3 (1), 358, 2012 | 7 | 2012 |
A Novel Approach to Protein Structure Prediction Using PCA or LDA Based Extreme Learning Machines L Singh, G Chetty, D Sharma Neural Information Processing, 492-499, 2012 | 6 | 2012 |
Information Intelligence, Systems, Technology and Management: 5th International Conference, ICISTM 2011, Gurgaon, India, March 10-12, 2011. Proceedings S Dua, S Sahni, DP Goyal Springer-Verlag New York Inc, 2011 | 5 | 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 A Pokhriyal, L Singh, S Singh Information Intelligence, Systems, Technology and Management, 277-286, 2011 | 5 | 2011 |
Pruned annular extreme learning machine optimization based on RANSAC multi model response regularization L Singh, G Chetty Proceedings of ELM-2014 Volume 1: Algorithms and Theories, 163-182, 2015 | 4 | 2015 |
Understanding the brain via fMRI classification L Singh, G Chetty Springer Handbook of Bio-/Neuroinformatics, 703-711, 2014 | 4 | 2014 |
Using Hybrid Neural Networks for Identifying the Brain Abnormalities from MRI Structural Images L Singh, G Chetty, D Sharma Neural Information Processing, 465-472, 2012 | 4 | 2012 |
An optimal approach for pruning annular regularized extreme learning machines L Singh, G Chetty 2014 IEEE International Conference on Data Mining Workshop, 80-87, 2014 | 3 | 2014 |