activity
20202026
most citedGuiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Change Point--Aware Evaluation and Re-Calibration of PPG-Based Blood Pressure Estimation

Yunwon Tae, Minje Park, Gyunho Rho +2

Non-invasive continuous blood pressure (BP) monitoring using photoplethysmography (PPG) is a promising alternative to cuff-based measurements. However, existing PPG-based BP estima…

eess.SP2024★ 3 cited

Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Yeongyeon Na, Minje Park, Yunwon Tae +1

Electrocardiograms (ECG) are widely employed as a diagnostic tool for monitoring electrical signals originating from a heart. Recent machine learning research efforts have focused…

cs.CL2022

PePe: Personalized Post-editing Model utilizing User-generated Post-edits

Jihyeon Lee, Taehee Kim, Yunwon Tae +2

Incorporating personal preference is crucial in advanced machine translation tasks. Despite the recent advancement of machine translation, it remains a demanding task to properly r…

cs.HC2022

A Visual Analytics System for Improving Attention-based Traffic Forecasting Models

Seungmin Jin, Hyunwook Lee, Cheonbok Park +4

With deep learning (DL) outperforming conventional methods for different tasks, much effort has been devoted to utilizing DL in various domains. Researchers and developers in the t…

cs.CL2020

Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning

Cheonbok Park, Yunwon Tae, Taehee Kim +4

Unsupervised machine translation, which utilizes unpaired monolingual corpora as training data, has achieved comparable performance against supervised machine translation. However,…