Rajashree Dash

27 papers Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Hybrid Model for Classification of Skin Cancer Images After Segmentation. Int. J. Image Graph. Rasmiranjan Mohakud, Rajashree Dash
2025	J	`jnl`	Developing a two stage optimized random vector functional link neural network based predictor model utilizing a swift crow search algorithm. Clust. Comput. Sidharth Samal, Rajashree Dash
2024	J	`jnl`	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. Smita Mohanty, Rajashree Dash
2023	J	`jnl`	A flower pollination algorithm based Chebyshev polynomial neural network for net asset value prediction. Evol. Intell. Smita Mohanty, Rajashree Dash
2022	J	`jnl`	A novel MCDM ensemble approach of designing an ELM based predictor for stock index price forecasting. Intell. Decis. Technol. Sidharth Samal, Rajashree Dash
2022	J	`jnl`	A novel chaotic flower pollination algorithm for modelling an optimized low-complexity neural network-based NAV predictor model. Prog. Artif. Intell. Smita Mohanty, Rajashree Dash
2022	J	`jnl`	A novel feature selection technique for enhancing performance of unbalanced text classification problem. Intell. Decis. Technol. Santosh Kumar Behera, Rajashree Dash
2022	J	`jnl`	An evolutionary framework based microarray gene selection and classification approach using binary shuffled frog leaping algorithm. J. King Saud Univ. Comput. Inf. Sci. Rasmita Dash, Rajashree Dash, Rasmita Rautray
2022	J	`jnl`	Designing a grey wolf optimization based hyper-parameter optimized convolutional neural network classifier for skin cancer detection. J. King Saud Univ. Comput. Inf. Sci. Rasmiranjan Mohakud, Rajashree Dash
2022	J	`jnl`	Evaluating chaotic functions with flower pollination algorithm for modelling an optimized low complexity neural network based NAV predictor model. Soft Comput. Smita Mohanty, Rajashree Dash
2022	J	`jnl`	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. Santosh Kumar Behera, Rajashree Dash
2022	J	`jnl`	Skin cancer image segmentation utilizing a novel EN-GWO based hyper-parameter optimized FCEDN. J. King Saud Univ. Comput. Inf. Sci. Rasmiranjan Mohakud, Rajashree Dash
2021	J	`jnl`	A TOPSIS-ELM framework for stock index price movement prediction. Intell. Decis. Technol. Sidharth Samal, Rajashree Dash
2021	J	`jnl`	Designing an efficient predictor model using PSNN and crow search based optimization technique for gold price prediction. Intell. Decis. Technol. Rajashree Dash, Anuradha Routray, Rasmita Dash, Rasmita Rautray
2020	J	`jnl`	Performance analysis of an evolutionary recurrent Legendre Polynomial Neural Network in application to FOREX prediction. J. King Saud Univ. Comput. Inf. Sci. Rajashree Dash
2019	J	`jnl`	An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction. Appl. Soft Comput. Rajashree Dash, Sidharth Samal, Rasmita Dash, Rasmita Rautray
2019	J	`jnl`	CSMDSE-Cuckoo Search Based Multi Document Summary Extractor: Cuckoo Search Based Summary Extractor. Int. J. Cogn. Informatics Nat. Intell. Rasmita Rautray, Rakesh Chandra Balabantaray, Rasmita Dash, Rajashree Dash
2019	J	`jnl`	Performance analysis of Modified Shuffled Frog leaping Algorithm for Multi-document Summarization Problem. Informatica (Slovenia) Rasmita Rautray, Rasmita Dash, Rajashree Dash
2018	J	`jnl`	DECPNN: A hybrid stock predictor model using Differential Evolution and Chebyshev Polynomial neural network. Intell. Decis. Technol. Rajashree Dash
2018	J	`jnl`	Performance analysis of a higher order neural network with an improved shuffled frog leaping algorithm for currency exchange rate prediction. Appl. Soft Comput. Rajashree Dash
2017	J	`jnl`	Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach. J. King Saud Univ. Comput. Inf. Sci. Ajit Kumar Rout, P. K. Dash, Rajashree Dash, Ranjeeta Bisoi
2016	J	`jnl`	An evolutionary hybrid Fuzzy Computationally Efficient EGARCH model for volatility prediction. Appl. Soft Comput. Rajashree Dash, P. K. Dash
2016	J	`jnl`	Efficient stock price prediction using a Self Evolving Recurrent Neuro-Fuzzy Inference System optimized through a Modified technique. Expert Syst. Appl. Rajashree Dash, Pradipta Kishore Dash
2016	J	`jnl`	Prediction of Financial Time Series Data using Hybrid Evolutionary Legendre Neural Network: Evolutionary LENN. Int. J. Appl. Evol. Comput. Rajashree Dash, Pradipta Kishore Dash
2015	J	`jnl`	A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction. Int. J. Approx. Reason. Rajashree Dash, Pradipta Kishore Dash, Ranjeeta Bisoi
2014	—	`conf`	A Comparative Study of Chebyshev Functional Link Artificial Neural Network, Multi-layer Perceptron and Decision Tree for Credit Card Fraud Detection. ICIT Mukesh Kumar Mishra, Rajashree Dash
2014	J	`jnl`	A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction. Swarm Evol. Comput. Rajashree Dash, Pradipta Kishore Dash, Ranjeeta Bisoi