Indranil Ghosh

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 27

Top Topics

Machine Learning

Feature Transformation

Predictive Modeling

Top Venues

J. Stat. Theory Appl.

Int. J. Bifurc. Chaos

Publications

Indranil Ghosh, Robert I. McLachlan, David J. W. Simpson
The bifurcation structure within robust chaos for two-dimensional piecewise-linear maps. Commun. Nonlinear Sci. Numer. Simul. 134 (2024)
Rabin K. Jana, Indranil Ghosh, P. N. Ram Kumar
An explainable AI-enabled granular ensemble machine learning framework to demystify fertilizer price movements. J. Oper. Res. Soc. 75 (8) (2024)
Roma Kumari, Tamal Datta Chaudhuri, Indranil Ghosh
Tobin's q and firm performance: MCDM and clustering-based approach for Indian companies. Int. J. Bus. Inf. Syst. 45 (4) (2024)
Indranil Ghosh, Hon Keung Tony Ng, Kipum Kim, Seong W. Kim
Bayesian Inference for a Hidden Truncated Bivariate Exponential Distribution with Applications. Axioms 13 (3) (2024)
Indranil Ghosh, Esteban Alfaro Cortés, Matías Gámez, Noelia García Rubio
Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI. Expert Syst. Appl. 219 (2023)
Indranil Ghosh, Filipe Marques, Subrata Chakraborty
A bivariate geometric distribution via conditional specification: properties and applications. Commun. Stat. Simul. Comput. 52 (12) (2023)
Sai Shyam Desetti, Indranil Ghosh
Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI. CICBA (1) (2023)
Indranil Ghosh
Hidden truncation in multivariate Pareto (II) data: properties and inference. Commun. Stat. Simul. Comput. 52 (5) (2023)
Indranil Ghosh, Manas K. Sanyal, Dragan Pamucar
Modelling Predictability of Airbnb Rental Prices in Post COVID-19 Regime: An Integrated Framework of Transfer Learning, PSO-Based Ensemble Machine Learning and Explainable AI. Int. J. Inf. Technol. Decis. Mak. 22 (3) (2023)
Refah Mohammed Alotaibi, Mazen Nassar, Indranil Ghosh, Hoda Rezk, Ahmed Elshahhat
Inferences of a Mixture Bivariate Alpha Power Exponential Model with Engineering Application. Axioms 11 (9) (2022)
Costas J. Efthimiou, Gregory DeCamillis, Indranil Ghosh
A physics-driven study of dominance space in soccer. CoRR (2022)
Indranil Ghosh, Tamal Datta Chaudhuri
Integrating Navier-Stokes equation and neoteric iForest-BorutaShap-Facebook's prophet framework for stock market prediction: An application in Indian context. Expert Syst. Appl. 210 (2022)
Indranil Ghosh, David J. W. Simpson
Renormalization of the Two-Dimensional Border-Collision Normal Form. Int. J. Bifurc. Chaos 32 (12) (2022)
Sishu Shankar Muni, Hammed Olawale Fatoyinbo, Indranil Ghosh
Dynamical Effects of Electromagnetic Flux on Chialvo Neuron Map: Nodal and Network Behaviors. Int. J. Bifurc. Chaos 32 (9) (2022)
Indranil Ghosh, Muhammad Mahbubur Rashid, Shukranul Mawa, Rupal Roy, Md. Manjurul Ahsan, Muhammad Ramiz Uddin, Kishor Datta Gupta, Pallabi Ghosh
A Modified Iterative Algorithm for Numerical Investigation of HIV Infection Dynamics. Algorithms 15 (5) (2022)
Indranil Ghosh, Manas K. Sanyal
Introspecting predictability of market fear in Indian context during COVID-19 pandemic: An integrated approach of applied predictive modelling and explainable AI. Int. J. Inf. Manag. Data Insights 1 (2) (2021)
Indranil Ghosh, M. S. H. Chowdhury, Suazlan Mt Aznam, Muhammad Mahbubur Rashid
Measuring the Pollutants in a System of Three Interconnecting Lakes by the Semianalytical Method. J. Appl. Math. 2021 (2021)
R. K. Jana, Indranil Ghosh, Debojyoti Das
A differential evolution-based regression framework for forecasting Bitcoin price. Ann. Oper. Res. 306 (1) (2021)
Sanku Dey, Ayman Alzaatreh, Indranil Ghosh
Parameter estimation methods for the Weibull-Pareto distribution. Comput. Math. Methods 3 (1) (2021)
Rabin K. Jana, Indranil Ghosh, Manas K. Sanyal
A granular deep learning approach for predicting energy consumption. Appl. Soft Comput. 89 (2020)
Sarath Babu, Indranil Ghosh, B. S. Manoj
Effort: A New Metric for Roadside Unit Placement in 5G Enabled Vehicular Networks. 5G World Forum (2020)
Indranil Ghosh, Rabin K. Jana, Manas K. Sanyal
Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms. Appl. Soft Comput. 82 (2019)
Avishek Mallick, Indranil Ghosh, G. G. Hamedani
A note on Sum, Difference, Product and Ratio of Kumaraswamy Random Variables. J. Stat. Theory Appl. 17 (2) (2018)
Indranil Ghosh, Manas K. Sanyal, R. K. Jana
Analysis of Causal Interactions and Predictive Modelling of Financial Markets Using Econometric Methods, Maximal Overlap Discrete Wavelet Transformation and Machine Learning: A Study in Asian Context. PReMI (2017)
Tamal Datta Chaudhuri, Indranil Ghosh
Using Clustering Method to Understand Indian Stock Market Volatility. CoRR (2016)
Tamal Datta Chaudhuri, Indranil Ghosh
Artificial Neural Network and Time Series Modeling Based Approach to Forecasting the Exchange Rate in a Multivariate Framework. CoRR (2016)
Tamal Datta Chaudhuri, Indranil Ghosh
Forecasting Volatility in Indian Stock Market using Artificial Neural Network with Multiple Inputs and Outputs. CoRR (2016)
Ayman Alzaatreh, Indranil Ghosh
On the Weibull-X family of distributions. J. Stat. Theory Appl. 14 (2) (2015)
Mohammad Ahsanullah, G. G. Hamedani, Indranil Ghosh
Characterizations of Distributions Via Conditional Expectation of Function of Generalized Order Statistics. J. Stat. Theory Appl. 14 (4) (2015)
Indranil Ghosh
The Kumaraswamy-Half-Cauchy distribution: properties and applications. J. Stat. Theory Appl. 13 (2) (2014)
Ruma Dutta, Indranil Ghosh, Anirban Kundu, Debajyoti Mukhopadhyay
An Advanced Partitioning Approach of Web Page Clustering utilizing Content & Link Structure. J. Convergence Inf. Technol. 4 (3) (2009)