Work

FMMLx and DLM -- A Contribution to the MULTI Collaborative Comparison Challenge

Year: 2024

Type: conference-paper

Abstract: This paper is a response to the MULTI 2022 Collaborative Comparison Challenge [23]. We compare FMMLx- and DLM-based solutions. We first present each approach and solution separately, and then discuss trade-offs of both the solutions and the approaches.

Source: ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS)

DOI: 10.1145/3652620.3688212

Authors: Thomas Kühne, Pierre Maier

Institutions: Victoria University of Wellington, University of Duisburg-Essen

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4403935918

FWCI: 0.951

Cites: 14

Cited by: 3

Related to: 10