Work

Study of Initialization Options for Applications with Automatic Machine Learning

Year: 2024

Type: conference-paper

Source: International Ural Conference on Electrical Power Engineering (UralCon)

DOI: 10.1109/uralcon62137.2024.10718958

Authors: Viktor Matveev, Andrey Arhipov, Ivan Fomin

Institution: Russian State Scientific Center for Robotics and Technical Cybernetics

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4403678296

FWCI:

Cites: 16

Cited by:

Related to: 10