Work

Hierarchical Supervised Monte Carlo Ensemble Learning

Year: 2024

Type: conference-paper

Source: International Conference on Machine Learning and Applications

DOI: 10.1109/icmla61862.2024.00272

Authors: Ziauddin Ursani, Dmytro Antypov, Katie Atkinson, Judith Clymo, Matthew Dyer, Matthew Rosseinsky, Sven Schewe, Andrij Vasylenko

Institution: University of Liverpool

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funder: Engineering and Physical Sciences Research Council

Award: Digital navigation of chemical space for function

OpenAlex ID: W4408146805

FWCI: 3.723

Cites: 24

Cited by: 2

Related to: 10