Indranil Ghosh

11 papers Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases.
Ann. Oper. Res.
Rabin K. Jana, Indranil Ghosh
2025 J jnl
COVID-19 news and the US equity market interactions: An inspection through econometric and machine learning lens.
Ann. Oper. Res.
Rabin K. Jana, Indranil Ghosh, Fredj Jawadi, Gazi Salah Uddin, Ricardo M. Sousa
2024 J jnl
An explainable AI-enabled granular ensemble machine learning framework to demystify fertilizer price movements.
J. Oper. Res. Soc.
Rabin K. Jana, Indranil Ghosh, P. N. Ram Kumar
2023 J jnl
Can financial stress be anticipated and explained? Uncovering the hidden pattern using EEMD-LSTM, EEMD-prophet, and XAI methodologies.
Complex Intell. Syst.
Indranil Ghosh, Dragan Pamucar
2023 J jnl
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.
Indranil Ghosh, Manas K. Sanyal, Dragan Pamucar
2023 — conf
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)
Sai Shyam Desetti, Indranil Ghosh
2021 J jnl
A differential evolution-based regression framework for forecasting Bitcoin price.
Ann. Oper. Res.
R. K. Jana, Indranil Ghosh, Debojyoti Das
2021 J jnl
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
Indranil Ghosh, Manas K. Sanyal
2020 J jnl
A granular deep learning approach for predicting energy consumption.
Appl. Soft Comput.
Rabin K. Jana, Indranil Ghosh, Manas K. Sanyal
2019 J jnl
Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms.
Appl. Soft Comput.
Indranil Ghosh, Rabin K. Jana, Manas K. Sanyal
2017 — conf
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
Indranil Ghosh, Manas K. Sanyal, R. K. Jana
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling