In-Ho Kang

12 papers and 194 indexed citations i.

In-Ho Kang has authored 12 papers that have received a total of 194 indexed citations. This includes 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. The topics of these papers are Topic Modeling (3 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). In-Ho Kang is often cited by papers focused on Topic Modeling (3 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers) and collaborates with scholars based in South Korea, United States and United Arab Emirates. In-Ho Kang's co-authors include Nojun Kwak, Myong K. Jeong, Jae-Ho Kim, Seung‐Hoon Na and Tetsuya Sakai and has published in prestigious journals such as Expert Systems with Applications