Classifying Perceptual Experience of Tone-mapped High Dynamic Range Videos through EEG. - Seong-Eun Moon; Jong-Seok Lee (PIVP@MM, 2014)

Gaze Analysis of Avatar-based Navigation with Different Perspectives in 3D Virtual Space. - Jooyeon Lee; Manri Cheon; Seong-Eun Moon; Jong-Seok Lee (HAI, 2015)

EEG Analysis on 3D Navigation in Virtual Realty with Different Perspectives. - Jooyeon Lee; Seong-Eun Moon; Manri Cheon; Jong-Seok Lee (HAI, 2015)

EEG Connectivity Analysis in Perception of Tone-mapped High Dynamic Range Videos. - Seong-Eun Moon; Jong-Seok Lee (ACM Multimedia, 2015)

Perceptual Experience Analysis for Tone-mapped HDR Videos Based on EEG and Peripheral Physiological Signals. - Seong-Eun Moon; Jong-Seok Lee (IEEE Trans. Auton. Ment. Dev., 2015)

Peripersonal Space in Virtual Reality: Navigating 3D Space with Different Perspectives. - Jooyeon Lee; Manri Cheon; Seong-Eun Moon; Jong-Seok Lee (UIST (Adjunct Volume), 2016)

Assessing Product Design Using Photos and Real Products. - Seong-Eun Moon; Jun-Hyuk Kim; Sun-Wook Kim; Jong-Seok Lee (CHI Extended Abstracts, 2017)

Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review. - Seong-Eun Moon; Jong-Seok Lee (IEEE Trans. Multim., 2017)

Eeg-Based Video Identification Using Graph Signal Modeling and Graph Convolutional Neural Network. - Soobeom Jang; Seong-Eun Moon; Jong-Seok Lee (ICASSP, 2018)

Convolutional Neural Network Approach for Eeg-Based Emotion Recognition Using Brain Connectivity and its Spatial Information. - Seong-Eun Moon; Soobeom Jang; Jong-Seok Lee (ICASSP, 2018)

Evaluation of preference of multimedia content using deep neural networks for electroencephalography. - Seong-Eun Moon; Soobeom Jang; Jong-Seok Lee (QoMEX, 2018)

On the Repeatability of EEG-Based Image Quality Assessment. - Jaehui Hwang; Seong-Eun Moon; Jong-Seok Lee (SMC, 2018)

Music for Sleep and Wake-Up: An Empirical Study. - Taekyu Lee; Seong-Eun Moon; Jongsoo Baek; Jong-Seok Lee; Songkuk Kim (IEEE Access, 2019)

Brain Signal Classification via Learning Connectivity Structure. - Soobeom Jang; Seong-Eun Moon; Jong-Seok Lee (CoRR, 2019)

Learning Conjunctive Information of Signals in Multi-Sensor Systems. - Seong-Eun Moon; Jong-Seok Lee (ECAI, 2020)

MaDeNet: Disentangling Individuality of EEG Signals through Feature Space Mapping and Detachment. - Seong-Eun Moon; Jong-Seok Lee (EMBC, 2020)

Emotional EEG classification using connectivity features and convolutional neural networks. - Seong-Eun Moon; Chun-Jui Chen; Cho-Jui Hsieh; Jane-Ling Wang; Jong-Seok Lee (Neural Networks, 2020)

Prediction of Car Design Perception Using EEG and Gaze Patterns. - Seong-Eun Moon; Jun-Hyuk Kim; Sun-Wook Kim; Jong-Seok Lee (IEEE Trans. Affect. Comput., 2021)

ParaSight: Enabling Privacy-preserving Sensing Data Sharing via Device-to-device Utterance-based Communication. - Youngwook Do; Seong-Eun Moon; Minsuk Chang (CHI Extended Abstracts, 2022)

Resting-State fNIRS Classification Using Connectivity and Convolutional Neural Networks. - Seohyun Moon; Seong-Eun Moon; Jong-Seok Lee (SMC, 2022)

UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge. - Kyunghoon Hur; Jungwoo Oh; Junu Kim; Jiyoun Kim; Min Jae Lee; Eunbyeol Cho; Seong-Eun Moon; Young-Hak Kim; Edward Choi (CoRR, 2022)

Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches. - Seong-Eun Moon; Ji Won Yoon; Shinyoung Joo; Yoohyung Kim; Jae-Hyun Bae; Seokho Yoon; Haanju Yoo; Young Min Cho (CoRR, 2023)

EEG-Based Emotional Video Classification via Learning Connectivity Structure. - Soobeom Jang; Seong-Eun Moon; Jong-Seok Lee (IEEE Trans. Affect. Comput., 2023)

GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning. - Kyunghoon Hur; Jungwoo Oh; Junu Kim; Jiyoun Kim; Min Jae Lee; Eunbyeol Cho; Seong-Eun Moon; Young-Hak Kim; Louis Atallah; Edward Choi (IEEE J. Biomed. Health Informatics, 2024)