Guided stochastic gradient descent algorithm for inconsistent datasets A Sharma Applied Soft Computing 73, 1068-1080, 2018 | 92 | 2018 |
SMOTified-GAN for class imbalanced pattern classification problems A Sharma, PK Singh, R Chandra Ieee Access 10, 30655-30665, 2022 | 47 | 2022 |
Clonal selection algorithm for classification A Sharma, D Sharma Artificial Immune Systems: 10th International Conference, ICARIS 2011 …, 2011 | 43 | 2011 |
Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis A Sharma, D Kumar Scientific Reports 12 (1), 21857, 2022 | 32* | 2022 |
Hybrid particle swarm optimization and GMDH system A Sharma, G Onwubolu Hybrid self-organizing modeling systems, 193-231, 2009 | 31 | 2009 |
A new optimizing algorithm using reincarnation concept A Sharma 2010 11th International Symposium on Computational Intelligence and …, 2010 | 20 | 2010 |
Multi-Step-Ahead Chaotic Time Series Prediction using Coevolutionary Recurrent Neural Networks S Hussein, R Chandra, A Sharma IEEE Congress on Evolutionary Computation, Vancouver, Canada, 2016 | 17 | 2016 |
Stacked transfer learning for tropical cyclone intensity prediction RV Deo, R Chandra, A Sharma arXiv preprint arXiv:1708.06539, 2017 | 15 | 2017 |
Performance comparison of particle swarm optimization with traditional clustering algorithms used in self-organizing map A Sharma, CW Omlin International Journal of Computer and Information Engineering 3 (3), 642-653, 2009 | 15 | 2009 |
Particle Swarm Optimization for the assignment of facilities to locations GC Onwubolu, BV Babu, GC Onwubolu, A Sharma New Optimization Techniques in Engineering, 567-584, 2004 | 14 | 2004 |
Guided parallelized stochastic gradient descent for delay compensation A Sharma Applied Soft Computing 102, 107084, 2021 | 13 | 2021 |
Meta-heuristic approaches to tackle skill based group allocation of students in project based learning courses R Nand, A Sharma 2019 IEEE Congress on Evolutionary Computation (CEC), 1782-1789, 2019 | 13 | 2019 |
ICHEA–a constraint guided search for improving evolutionary algorithms A Sharma, D Sharma Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012 | 11 | 2012 |
Hybrid particle swarm optimization and group method of data handling for inductive modeling G Onwubolu, A Sharma, A Dayal, D Bhartu, A Shankar, K Katafono Proceedings of 2nd International Conference on Inductive Modelling, 95-103, 2008 | 10* | 2008 |
Determining cluster boundary using particle swarm optimization A Sharma, CW Omlin Proceedings World Enformatika Society, Transactions on Engineering …, 2006 | 9 | 2006 |
Solving dynamic constraint optimization problems using ichea A Sharma, D Sharma Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012 | 8 | 2012 |
Skill-based group allocation of students for project-based learning courses using genetic algorithm: Weighted penalty model R Nand, A Sharma, K Reddy 2018 IEEE International Conference on Teaching, Assessment, and Learning for …, 2018 | 7 | 2018 |
An incremental approach to solving dynamic constraint satisfaction problems A Sharma, D Sharma Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012 | 6 | 2012 |
Real-valued constraint optimization with ICHEA A Sharma, D Sharma Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012 | 6 | 2012 |
Clustering based hybrid approach for facility location problem A Sharma, A Jalal Management Science Letters 7 (12), 577-584, 2017 | 5 | 2017 |