Search Results - "Dehuri, S."

Predictive and comprehensible rule discovery using a multi-objective genetic algorithm by Dehuri, S., Mall, R.

“…We present a multi-objective genetic algorithm for mining highly predictive and comprehensible classification rules from large databases. We emphasize…”
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A fuzzy integral method based on the ensemble of neural networks to analyze fMRI data for cognitive state classification across multiple subjects by Cacha, L A, Parida, S, Dehuri, S, Cho, S-B, Poznanski, R R

“…The huge number of voxels in fMRI over time poses a major challenge to for effective analysis. Fast, accurate, and reliable classifiers are required for…”
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A reduced and comprehensible polynomial neural network for classification by Misra, B.B., Dehuri, S., Dash, P.K., Panda, G.

“…It has been found that in solving classification task, the polynomial neural network (PNN) needs more computation time, as the partial descriptions (the heart…”
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A hybrid method for classifying cognitive states from fMRI data by Parida, S, Dehuri, S, Cho, S-B, Cacha, L A, Poznanski, R R

“…Functional magnetic resonance imaging (fMRI) makes it possible to detect brain activities in order to elucidate cognitive-states. The complex nature of fMRI…”
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Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: A review and state-of-the-art by Dehuri, S., Cho, S.-B.

“…In this paper, we proposed a multi-objective Pareto based particle swarm optimization (MOPPSO) to minimize the architectural complexity and maximize the…”
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Application of elitist multi-objective genetic algorithm for classification rule generation by Dehuri, S., Patnaik, S., Ghosh, A., Mall, R.

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A condensed polynomial neural network for classification using swarm intelligence by Dehuri, S., Misra, B.B., Ghosh, A., Cho, S.-B.

“…A novel condensed polynomial neural network using particle swarm optimization (PSO) technique is proposed for the task of classification in this paper. In…”
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Non-dominated sorting genetic algorithms for heterogeneous embedded system design by Rath, A.K., Dehuri, S.

“…The design of complex embedded systems involves the simultaneous optimization of several often-competing objectives. Instead of a single optimal design, there…”
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Reduced polynomial neural swarm net for classification task in data mining by Misra, B.B., Dehuri, S., Dash, P.K., Panda, G.

“…In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks…”
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Ear recognition using pyramid histogram of orientation gradients by Sarangi, Partha Pratim, Mishra, B. S. P., Dehuri, S.

“…Ear recognition Is still a standing problem In biometrics and has become an open research area in recent years. In this paper, we explore a new local feature…”
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Gray-level image enhancement using differential evolution optimization algorithm by Sarangi, P. P., Mishra, B. S. P., Majhi, B., Dehuri, S.

“…Differential Evolution (DE) algorithm represent an adaptive search process for solving engineering and machine learning optimization problems. This paper…”
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Discovering interesting rules from biological data using parallel genetic algorithm by Dash, S. R., Dehuri, S., Rayaguru, S.

“…In this paper, a parallel genetic based association rule mining method is proposed to discover interesting rules from a large biological database. Apriori…”
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Multi-objective Classification Rule Mining Using Gene Expression Programming by Dehuri, S., Sung-Bae Cho

“…In this paper, the classification rule-mining problem is considered as a multi-objective problem rather than a uni-objective one. Metrics like predictive…”
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Software effort prediction using unsupervised learning (clustering) and functional link artificial neural networks by Benala, T. R., Dehuri, S., Mall, R., ChinnaBabu, K.

“…Software cost estimation continues to be an area of concern for managing of software development industry. We use unsupervised learning (e.g., clustering…”
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Wasp: A Multi-agent System for Multiple Recommendations Problem by Dehuri, S., Cho, S.-B., Ghosh, A.

“…This paper proposed a multi-agent system using the social status of wasp to solve the problem of multiple simultaneous personalized recommendations (MSPRs)…”
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A fresh Particle Swarm Optimizations: A position paper by Devi, S., Jagadev, A.K., Dehuri, S., Mall, R.

“…This paper contributes a novel Particle Swarm Optimization (PSO) method. The particle is updated not only by the best position in history (p best ) and the…”
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Honey Bee Behavior: A Multi-agent Approach for Multiple Campaigns Assignment Problem by Dehuri, S., Sung-Bae Cho, Jagadev, A.K.

“…This paper address a multi-agent approach using the behavior of honey bee to find out an optimal customer-campaign relationship under certain restrictions for…”
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Particles with Age for Data Clustering by Dehuri, S., Ghosh, A., Mall, R.

“…This paper proposes a novel particle swarm optimisation (PSO) algorithm using the concept of age of particles. Effective fitness of a particle depends both on…”
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