Music intelligence: Granular data and prediction of top ten hit songs. - Seon Tae Kim; Joo Hee Oh (Decis. Support Syst., 2021)

Assessing Regional Disparities in Human Development and Multidimensional Poverty: A Satellite Imagery and Machine Learning Approach. - Sukbeom Chang; Youeel Sadek Kamal Abdelnour; Ivis María Companioni Cardoso; Jeongho Kim; Seon Tae Kim; Joo Hee Oh (IEEE Big Data, 2023)

Detecting Greenwashing in Sustainability Disclosures: A Prediction Model for KOSPI 200 Enterprises using ESG-BERT. - Seonu Kim; Yoel Shin; SeongWoo Park; Semakula Joel; Seon Tae Kim; Joo Hee Oh (IEEE Big Data, 2023)

A Data-Driven Approach to Predict Social Impact of Rural Tourism: Insights from UNWTO's Video Campaigns. - Kamuna Kipa; Nigel Kari Totona; Eunbi Cho; Jeongho Kim; Seon Tae Kim; Joo Hee Oh (IEEE Big Data, 2023)

Predicting Patent Transfer in the Manufacturing Industry: A Machine Learning Model for Patent Analytics Using BERT. - Hyeonmin Park; Jeongho Kim; Eunbi Cho; Joo Hee Oh (IEEE Big Data, 2023)

Music Copyright Infringement Detection via Heterogeneous Attention Network. - Sukbeom Chang; Hyeonsu Seong; Joo Hee Oh (IEEE Big Data, 2024)

The Attention Economy: Measuring the Value of Free Goods on the Internet. - Erik Brynjolfsson; Seon Tae Kim; Joo Hee Oh (Inf. Syst. Res., 2024)

Visual Attributes of Thumbnails in Predicting YouTube Brand Channel Views in the Marketing Digitalization Era. - Haeun Jang; Seung Ho Kim; Jongseok Jeon; Joo Hee Oh (IEEE Trans. Comput. Soc. Syst., 2024)