Work

Interpretability in Financial Forecasting: The Role of eXplainable AI in Stock Market

Year: 2024

Type: conference-paper

Source: International Conference on Software Technology and Engineering

DOI: 10.1109/icste63875.2024.00039

Authors: Hira Tanveer, Sahar Arshad, Huma Ameer, Seemab Latif

Institution: National University of Sciences and Technology

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4406658610

FWCI: 5.544

Cites: 19

Cited by: 8

Related to: 10