Work

Kagi Chart Representations as Structured Inputs for Deep Learning Models

Year: 2026

Type: conference-paper

Source: EAI/Springer Innovations in Communication and Computing

DOI: 10.1007/978-3-032-32104-6_51

Authors: Filip Hodon, Maros Cavojsky, Martin Drozda

Institution: Slovak University of Technology in Bratislava

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: W7203855832

FWCI:

Cites: 6

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Related to: 10