Rasmita Dash

According to our database1, Rasmita Dash authored at least 13 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
An evolutionary framework based microarray gene selection and classification approach using binary shuffled frog leaping algorithm.
J. King Saud Univ. Comput. Inf. Sci., 2022

A fusion based land cover classification model using remote sensed images.
Intell. Decis. Technol., 2022

Combination of Reduction Detection Using TOPSIS for Gene Expression Data Analysis.
Big Data Cogn. Comput., 2022

2021
An Adaptive Harmony Search Approach for Gene Selection and Classification of High Dimensional Medical Data.
J. King Saud Univ. Comput. Inf. Sci., 2021

Designing an efficient predictor model using PSNN and crow search based optimization technique for gold price prediction.
Intell. Decis. Technol., 2021

2020
A two stage grading approach for feature selection and classification of microarray data using Pareto based feature ranking techniques: A case study.
J. King Saud Univ. Comput. Inf. Sci., 2020

2019
Performance analysis of Modified Shuffled Frog leaping Algorithm for Multi-document Summarization Problem.
Informatica (Slovenia), 2019

CSMDSE-Cuckoo Search Based Multi Document Summary Extractor: Cuckoo Search Based Summary Extractor.
Int. J. Cogn. Informatics Nat. Intell., 2019

An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction.
Appl. Soft Comput., 2019

2018
A multi-objective feature selection and classifier ensemble technique for microarray data analysis.
Int. J. Data Min. Bioinform., 2018

2017
Gene selection and classification of microarray data: A Pareto DE approach.
Intell. Decis. Technol., 2017

2016
Pipelining the ranking techniques for microarray data classification: A case study.
Appl. Soft Comput., 2016

2014
Biological Data Analysis Using Hybrid Functional Link Artificial Neural Network.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014


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