Rajashree Dash
Orcid: 0000-0001-7813-5173
According to our database1,
Rajashree Dash
authored at least 24 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
A flower pollination algorithm based Chebyshev polynomial neural network for net asset value prediction.
Evol. Intell., February, 2023
2022
Skin cancer image segmentation utilizing a novel EN-GWO based hyper-parameter optimized FCEDN.
J. King Saud Univ. Comput. Inf. Sci., November, 2022
Performance Enhancement of the Unbalanced Text Classification Problem Through a Modified Chi Square-Based Feature Selection Technique: A Mod-Chi based FS technique.
Int. J. Intell. Inf. Technol., January, 2022
Evaluating chaotic functions with flower pollination algorithm for modelling an optimized low complexity neural network based NAV predictor model.
Soft Comput., 2022
A novel chaotic flower pollination algorithm for modelling an optimized low-complexity neural network-based NAV predictor model.
Prog. Artif. Intell., 2022
Designing a grey wolf optimization based hyper-parameter optimized convolutional neural network classifier for skin cancer detection.
J. King Saud Univ. Comput. Inf. Sci., 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 novel MCDM ensemble approach of designing an ELM based predictor for stock index price forecasting.
Intell. Decis. Technol., 2022
A novel feature selection technique for enhancing performance of unbalanced text classification problem.
Intell. Decis. Technol., 2022
2021
Intell. Decis. Technol., 2021
Designing an efficient predictor model using PSNN and crow search based optimization technique for gold price prediction.
Intell. Decis. Technol., 2021
2020
Performance analysis of an evolutionary recurrent Legendre Polynomial Neural Network in application to FOREX prediction.
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
DECPNN: A hybrid stock predictor model using Differential Evolution and Chebyshev Polynomial neural network.
Intell. Decis. Technol., 2018
Performance analysis of a higher order neural network with an improved shuffled frog leaping algorithm for currency exchange rate prediction.
Appl. Soft Comput., 2018
2017
Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach.
J. King Saud Univ. Comput. Inf. Sci., 2017
2016
Prediction of Financial Time Series Data using Hybrid Evolutionary Legendre Neural Network: Evolutionary LENN.
Int. J. Appl. Evol. Comput., 2016
Efficient stock price prediction using a Self Evolving Recurrent Neuro-Fuzzy Inference System optimized through a Modified technique.
Expert Syst. Appl., 2016
An evolutionary hybrid Fuzzy Computationally Efficient EGARCH model for volatility prediction.
Appl. Soft Comput., 2016
2015
A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction.
Int. J. Approx. Reason., 2015
2014
A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction.
Swarm Evol. Comput., 2014
A Comparative Study of Chebyshev Functional Link Artificial Neural Network, Multi-layer Perceptron and Decision Tree for Credit Card Fraud Detection.
Proceedings of the 2014 International Conference on Information Technology, 2014