46 citations · 54 across the 7 of their papers we have counts for
7 papers
The Eyes Have It!: Using Human-Selected Features for Predicting Athletes' Performance
Jaeyoun You, Jinhan Choi, Ho-Jae Shin +1
Predicting athletes' performance has relied mostly on statistical data. Besides the traditional data, various types of data, including video, have become available. However, it is…
Do All Asians Look the Same?: A Comparative Analysis of the East Asian Facial Color Desires using Instagram
Jaeyoun You, Sojeong Park, Seok-Kyeong Hong +1
Selfies represent people's desires, and social media platforms like Instagram have been flooded with them. This study uses selfie data to examine how peoples' desires for ideal fac…
A Labeling Task Design for Supporting Algorithmic Needs: Facilitating Worker Diversity and Reducing AI Bias
Jaeyoun You, Daemin Park, Joo-yeong Song +1
Studies on supervised machine learning (ML) recommend involving workers from various backgrounds in training dataset labeling to reduce algorithmic bias. Moreover, sophisticated ta…
Data Augmentation Strategies for Improving Sequential Recommender Systems
Joo-yeong Song, Bongwon Suh
Sequential recommender systems have recently achieved significant performance improvements with the exploitation of deep learning (DL) based methods. However, although various DL-b…
Applying the Persona of User's Family Member and the Doctor to the Conversational Agents for Healthcare
Youjin Hwang, Donghoon Shin, Sion Baek +2
Conversational agents have been showing lots of opportunities in healthcare by taking over a lot of tasks that used to be done by a human. One of the major functions of conversatio…
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
Daeryong Kim, Bongwon Suh
Neural network based models for collaborative filtering have started to gain attention recently. One branch of research is based on using deep generative models to model user prefe…