| Evolutionary algorithms for multi-criteria optimization: A survey A Ghosh, S Dehuri | 232 | 2005 |
| A comprehensive survey on functional link neural networks and an adaptive PSO–BP learning for CFLNN S Dehuri, SB Cho Neural Computing and Applications 19, 187-205, 2010 | 196 | 2010 |
| An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification S Dehuri, R Roy, SB Cho, A Ghosh Journal of Systems and Software 85 (6), 1333-1345, 2012 | 160 | 2012 |
| Functional link artificial neural network for classification task in data mining BB Misra, S Dehuri | 141 | 2007 |
| Application of elitist multi-objective genetic algorithm for classification rule generation S Dehuri, S Patnaik, A Ghosh, R Mall Applied soft computing 8 (1), 477-487, 2008 | 129 | 2008 |
| Radial basis function neural networks: a topical state-of-the-art survey CSK Dash, AK Behera, S Dehuri, SB Cho Open Computer Science 6 (1), 33-63, 2016 | 115 | 2016 |
| Predictive and comprehensible rule discovery using a multi-objective genetic algorithm S Dehuri, R Mall Knowledge-Based Systems 19 (6), 413-421, 2006 | 100 | 2006 |
| EEG signal classification using PSO trained RBF neural network for epilepsy identification SK Satapathy, S Dehuri, AK Jagadev Informatics in Medicine Unlocked 6, 1-11, 2017 | 97 | 2017 |
| Evolutionarily optimized features in functional link neural network for classification S Dehuri, SB Cho Expert Systems with Applications 37 (6), 4379-4391, 2010 | 89 | 2010 |
| Innovations in swarm intelligence CP Lim, S Dehuri Springer Science & Business Media, 2009 | 84 | 2009 |
| Multi-objective genetic algorithm for association rule miningusing a homogeneous dedicated cluster of workstations S Dehuri, AK Jagadev, A Ghosh, R Mall | 66 | 2006 |
| Enhancing scalability and accuracy of recommendation systems using unsupervised learning and particle swarm optimization S Bakshi, AK Jagadev, S Dehuri, GN Wang Applied Soft Computing 15, 21-29, 2014 | 62 | 2014 |
| Multi-objective evolutionary algorithms for knowledge discovery from databases A Ghosh, S Dehuri, S Ghosh Springer, 2008 | 57 | 2008 |
| Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: A review and state-of-the-art S Dehuri, SB Cho Computer Science Review 3 (1), 19-40, 2009 | 56 | 2009 |
| A novel particle swarm optimization algorithm for multi-objective combinatorial optimization problem R Roy, S Dehuri, SB Cho International Journal of Applied Metaheuristic Computing (IJAMC) 2 (4), 41-57, 2011 | 54 | 2011 |
| Swarm intelligence for multi-objective problems in data mining CC Coello, S Dehuri, S Ghosh Springer Science & Business Media, 2009 | 52 | 2009 |
| Genetic feature selection for optimal functional link artificial neural network in classification S Dehuri, BB Mishra, SB Cho Intelligent Data Engineering and Automated Learning–IDEAL 2008: 9th …, 2008 | 50 | 2008 |
| Cloud computing for optimization: foundations, applications, and challenges BSP Mishra, H Das, S Dehuri, AK Jagadev Springer International Publishing, 2018 | 49 | 2018 |
| A study on the relevance of feature selection methods in microarray data B Sahu, S Dehuri, A Jagadev The Open Bioinformatics Journal 11 (1), 2018 | 48 | 2018 |
| Credit risk analysis using machine learning classifiers TN Pandey, AK Jagadev, SK Mohapatra, S Dehuri 2017 International Conference on Energy, Communication, Data Analytics and …, 2017 | 47 | 2017 |
