activity
20202026
most citedMultiple Sclerosis Severity Classification From Clinical Text

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Industry-Aligned Granular Topic Modeling

Sae Young Moon, Myeongjun Erik Jang, Haoyan Luo +3

Topic modeling has extensive applications in text mining and data analysis across various industrial sectors. Although the concept of granularity holds significant value for busine…

cs.CL2025

Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration

Thomas Walshe, Sae Young Moon, Chunyang Xiao +2

Acquiring labelled training data remains a costly task in real world machine learning projects to meet quantity and quality requirements. Recently Large Language Models (LLMs), not…

cs.SE2022

API-Miner: an API-to-API Specification Recommendation Engine

Sae Young Moon, Gregor Kerr, Fran Silavong +1

When designing a new API for a large project, developers need to make smart design choices so that their code base can grow sustainably. To ensure that new API components are well…

cs.CV2022

Multi Visual Modality Fall Detection Dataset

Stefan Denkovski, Shehroz S. Khan, Brandon Malamis +3

Falls are one of the leading cause of injury-related deaths among the elderly worldwide. Effective detection of falls can reduce the risk of complications and injuries. Fall detect…

cs.CL2020★ 4 cited

Multiple Sclerosis Severity Classification From Clinical Text

Alister D Costa, Stefan Denkovski, Michal Malyska +5

Multiple Sclerosis (MS) is a chronic, inflammatory and degenerative neurological disease, which is monitored by a specialist using the Expanded Disability Status Scale (EDSS) and r…