Rajashree Dash

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 23

Top Topics

Shuffled Frog Leaping Algorithm

Hybrid Evolutionary

Top Venues

J. King Saud Univ. Comput. Inf. Sci.

Intell. Decis. Technol.

Appl. Soft Comput.

Int. J. Approx. Reason.

Publications

Smita Mohanty, Rajashree Dash
RVFLN-CDFPA: a random vector functional link neural network optimized using a chaotic differential flower pollination algorithm for day ahead Net Asset Value prediction. Evol. Syst. 15 (3) (2024)
Smita Mohanty, Rajashree Dash
A flower pollination algorithm based Chebyshev polynomial neural network for net asset value prediction. Evol. Intell. 16 (1) (2023)
Rasmiranjan Mohakud, Rajashree Dash
Designing a grey wolf optimization based hyper-parameter optimized convolutional neural network classifier for skin cancer detection. J. King Saud Univ. Comput. Inf. Sci. 34 (8 Part B) (2022)
Smita Mohanty, Rajashree Dash
Evaluating chaotic functions with flower pollination algorithm for modelling an optimized low complexity neural network based NAV predictor model. Soft Comput. 26 (18) (2022)
Sidharth Samal, Rajashree Dash
A novel MCDM ensemble approach of designing an ELM based predictor for stock index price forecasting. Intell. Decis. Technol. 16 (2) (2022)
Smita Mohanty, Rajashree Dash
A novel chaotic flower pollination algorithm for modelling an optimized low-complexity neural network-based NAV predictor model. Prog. Artif. Intell. 11 (4) (2022)
Santosh Kumar Behera, Rajashree Dash
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. 18 (1) (2022)
Rasmiranjan Mohakud, Rajashree Dash
Skin cancer image segmentation utilizing a novel EN-GWO based hyper-parameter optimized FCEDN. J. King Saud Univ. Comput. Inf. Sci. 34 (Issue 10, Part B) (2022)
Rasmita Dash, Rajashree Dash, Rasmita Rautray
An evolutionary framework based microarray gene selection and classification approach using binary shuffled frog leaping algorithm. J. King Saud Univ. Comput. Inf. Sci. 34 (3) (2022)
Santosh Kumar Behera, Rajashree Dash
A novel feature selection technique for enhancing performance of unbalanced text classification problem. Intell. Decis. Technol. 16 (1) (2022)
Sidharth Samal, Rajashree Dash
A TOPSIS-ELM framework for stock index price movement prediction. Intell. Decis. Technol. 15 (2) (2021)
Rajashree Dash, Anuradha Routray, Rasmita Dash, Rasmita Rautray
Designing an efficient predictor model using PSNN and crow search based optimization technique for gold price prediction. Intell. Decis. Technol. 15 (2) (2021)
Rajashree Dash
Performance analysis of an evolutionary recurrent Legendre Polynomial Neural Network in application to FOREX prediction. J. King Saud Univ. Comput. Inf. Sci. 32 (9) (2020)
Rasmita Rautray, Rakesh Chandra Balabantaray, Rasmita Dash, Rajashree Dash
CSMDSE-Cuckoo Search Based Multi Document Summary Extractor: Cuckoo Search Based Summary Extractor. Int. J. Cogn. Informatics Nat. Intell. 13 (4) (2019)
Rajashree Dash, Sidharth Samal, Rasmita Dash, Rasmita Rautray
An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction. Appl. Soft Comput. 85 (2019)
Rasmita Rautray, Rasmita Dash, Rajashree Dash
Performance analysis of Modified Shuffled Frog leaping Algorithm for Multi-document Summarization Problem. Informatica (Slovenia) 43 (3) (2019)
Rajashree Dash
DECPNN: A hybrid stock predictor model using Differential Evolution and Chebyshev Polynomial neural network. Intell. Decis. Technol. 12 (1) (2018)
Rajashree Dash
Performance analysis of a higher order neural network with an improved shuffled frog leaping algorithm for currency exchange rate prediction. Appl. Soft Comput. 67 (2018)
Ajit Kumar Rout, P. K. Dash, Rajashree Dash, Ranjeeta Bisoi
Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach. J. King Saud Univ. Comput. Inf. Sci. 29 (4) (2017)
Rajashree Dash, Pradipta Kishore Dash
Prediction of Financial Time Series Data using Hybrid Evolutionary Legendre Neural Network: Evolutionary LENN. Int. J. Appl. Evol. Comput. 7 (1) (2016)
Rajashree Dash, P. K. Dash
An evolutionary hybrid Fuzzy Computationally Efficient EGARCH model for volatility prediction. Appl. Soft Comput. 45 (2016)
Rajashree Dash, Pradipta Kishore Dash
Efficient stock price prediction using a Self Evolving Recurrent Neuro-Fuzzy Inference System optimized through a Modified technique. Expert Syst. Appl. 52 (2016)
Rajashree Dash, Pradipta Kishore Dash, Ranjeeta Bisoi
A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction. Int. J. Approx. Reason. 59 (2015)
Rajashree Dash, Pradipta Kishore Dash, Ranjeeta Bisoi
A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction. Swarm Evol. Comput. 19 (2014)
Mukesh Kumar Mishra, Rajashree Dash
A Comparative Study of Chebyshev Functional Link Artificial Neural Network, Multi-layer Perceptron and Decision Tree for Credit Card Fraud Detection. ICIT (2014)