Joo Hee Oh

According to our database, Joo Hee Oh authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of six.

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

Proceedings of the IEEE International Conference on 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

Proceedings of the IEEE International Conference on 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

Proceedings of the IEEE International Conference on Big Data, 2023

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

Proceedings of the IEEE International Conference on Big Data, 2023

2021

Music intelligence: Granular data and prediction of top ten hit songs.

Seon Tae Kim, Joo Hee Oh

Decis. Support Syst., 2021