Satchidananda Dehuri
Satchidananda Dehuri
Professor of Computer Science, Department of I&CT, F. M. University, Vyasa Vihar, Balasore-756019
No verified email
Cited by
Cited by
Evolutionary algorithms for multi-criteria optimization: A survey
A Ghosh, S Dehuri
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
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
Functional link artificial neural network for classification task in data mining
BB Misra, S Dehuri
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
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
Predictive and comprehensible rule discovery using a multi-objective genetic algorithm
S Dehuri, R Mall
Knowledge-Based Systems 19 (6), 413-421, 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
Evolutionarily optimized features in functional link neural network for classification
S Dehuri, SB Cho
Expert Systems with Applications 37 (6), 4379-4391, 2010
Innovations in swarm intelligence
CP Lim, S Dehuri
Springer Science & Business Media, 2009
Multi-objective genetic algorithm for association rule miningusing a homogeneous dedicated cluster of workstations
S Dehuri, AK Jagadev, A Ghosh, R Mall
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
Multi-objective evolutionary algorithms for knowledge discovery from databases
A Ghosh, S Dehuri, S Ghosh
Springer, 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
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
Swarm intelligence for multi-objective problems in data mining
CC Coello, S Dehuri, S Ghosh
Springer Science & Business Media, 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
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
Cloud computing for optimization: foundations, applications, and challenges
BSP Mishra, H Das, S Dehuri, AK Jagadev
Springer International Publishing, 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
The system can't perform the operation now. Try again later.
Articles 1–20