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Rajashree Dash · Study

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Rajashree Dash

7 works· latest 2019· 1 institutionscluster: provisionalORCID 0000-0001-7813-5173

h-index7

i107

Citations581

Works here7

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Most cited in this library

A hybrid stock trading framework integrating technical analysis with machine learning techniques2016 · 215 citations
Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach2015 · 110 citations
An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction2019 · 68 citations
Efficient stock price prediction using a Self Evolving Recurrent Neuro-Fuzzy Inference System optimized through a Modified Differential Harmony Search Technique2016 · 61 citations
Performance analysis of a higher order neural network with an improved shuffled frog leaping algorithm for currency exchange rate prediction2018 · 57 citations

Works

7 shown

An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction

Applied Soft Computing·2019·4 authors

68citations

Performance analysis of a higher order neural network with an improved shuffled frog leaping algorithm for currency exchange rate prediction

Applied Soft Computing·2018·1 author

57citations

An improved shuffled frog leaping algorithm based evolutionary framework for currency exchange rate prediction

Physica A Statistical Mechanics and its Applications·2017·1 author

34citations

An evolutionary hybrid Fuzzy Computationally Efficient EGARCH model for volatility prediction

Applied Soft Computing·2016·2 authors

36citations

A hybrid stock trading framework integrating technical analysis with machine learning techniques

The Journal of Finance and Data Science·2016·2 authors·Open access

215citations

Efficient stock price prediction using a Self Evolving Recurrent Neuro-Fuzzy Inference System optimized through a Modified Differential Harmony Search Technique

Expert Systems with Applications·2016·2 authors

61citations

Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach

Journal of King Saud University - Computer and Information Sciences·2015·4 authors·Open access

110citations