Cheul Young Park

Cheul Young Park

KAIST

H-index: 5

Asia-South Korea

About Cheul Young Park

Cheul Young Park, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at KAIST, specializes in the field of Machine Learning, Data-centric AI, Human-Computer Interaction, Affective Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

K-EmoPhone: A Mobile and Wearable Dataset with In-Situ Emotion, Stress, and Attention Labels

Unlocking the tacit knowledge of data work in machine learning

LSTM-modeling of emotion recognition using peripheral physiological signals in naturalistic conversations

The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data

Multimodal Analysis of Physiological Signals for Wearable-Based Emotion Recognition Using Machine Learning

Understanding emotion changes in mobile experience sampling

Separating Content from Speaker Identity in Speech for the Assessment of Cognitive Impairments

Arousal-valence classification from peripheral physiological signals using long short-term memory networks

Cheul Young Park Information

University

Position

___

Citations(all)

221

Citations(since 2020)

220

Cited By

24

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Cheul Young Park Skills & Research Interests

Machine Learning

Data-centric AI

Human-Computer Interaction

Affective Computing

Top articles of Cheul Young Park

K-EmoPhone: A Mobile and Wearable Dataset with In-Situ Emotion, Stress, and Attention Labels

Scientific Data

2023/6/2

Unlocking the tacit knowledge of data work in machine learning

2023/4/19

Juhyun Oh
Juhyun Oh

H-Index: 8

Cheul Young Park
Cheul Young Park

H-Index: 3

LSTM-modeling of emotion recognition using peripheral physiological signals in naturalistic conversations

IEEE Journal of Biomedical and Health Informatics

2022/11/29

Cheul Young Park
Cheul Young Park

H-Index: 3

Uichin Lee
Uichin Lee

H-Index: 34

The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data

arXiv preprint arXiv:2211.14981

2022/11/28

Juhyun Oh
Juhyun Oh

H-Index: 8

Cheul Young Park
Cheul Young Park

H-Index: 3

Multimodal Analysis of Physiological Signals for Wearable-Based Emotion Recognition Using Machine Learning

2022/9/4

Uichin Lee
Uichin Lee

H-Index: 34

Cheul Young Park
Cheul Young Park

H-Index: 3

Understanding emotion changes in mobile experience sampling

2022/4/29

Separating Content from Speaker Identity in Speech for the Assessment of Cognitive Impairments

arXiv preprint arXiv:2203.10827

2022/3/21

Cheul Young Park
Cheul Young Park

H-Index: 3

Arousal-valence classification from peripheral physiological signals using long short-term memory networks

2021/11/1

Cheul Young Park
Cheul Young Park

H-Index: 3

Uichin Lee
Uichin Lee

H-Index: 34

K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations

Scientific Data

2020/9/8

Hello There! Is Now a Good Time to Talk? Opportune Moments for Proactive Interactions with Smart Speakers

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

2020/9/4

See List of Professors in Cheul Young Park University(KAIST)