Indranil Ghosh

According to our database, Indranil Ghosh authored at least 10 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

COVID-19 news and the US equity market interactions: An inspection through econometric and machine learning lens.

Rabin K. Jana, Indranil Ghosh, Fredj Jawadi, Gazi Salah Uddin, Ricardo M. Sousa

Ann. Oper. Res., February, 2025

A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases.

Rabin K. Jana, Indranil Ghosh

Ann. Oper. Res., February, 2025

2024

An explainable AI-enabled granular ensemble machine learning framework to demystify fertilizer price movements.

Rabin K. Jana, Indranil Ghosh, P. N. Ram Kumar

J. Oper. Res. Soc., August, 2024

2023

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.

Indranil Ghosh, Manas K. Sanyal, Dragan Pamucar

Int. J. Inf. Technol. Decis. Mak., May, 2023

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.

Sai Shyam Desetti, Indranil Ghosh

Proceedings of the Computational Intelligence in Communications and Business Analytics, 2023

2021

Introspecting predictability of market fear in Indian context during COVID-19 pandemic: An integrated approach of applied predictive modelling and explainable AI.

Indranil Ghosh, Manas K. Sanyal

Int. J. Inf. Manag. Data Insights, 2021

A differential evolution-based regression framework for forecasting Bitcoin price.

R. K. Jana, Indranil Ghosh, Debojyoti Das

Ann. Oper. Res., 2021

2020

A granular deep learning approach for predicting energy consumption.

Rabin K. Jana, Indranil Ghosh, Manas K. Sanyal

Appl. Soft Comput., 2020

2019

Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms.

Indranil Ghosh, Rabin K. Jana, Manas K. Sanyal

Appl. Soft Comput., 2019

2017

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.

Indranil Ghosh, Manas K. Sanyal, R. K. Jana

Proceedings of the Pattern Recognition and Machine Intelligence, 2017