Performance Evaluation Criteria for Autonomous Cleaning Robots. - Sungsoo Rhim; Jae-Chang Ryu; Kwang-Ho Park; Soon-Geul Lee (CIRA, 2007)

Summary of recent standardization activities in the field of robotics. - Seungbin Moon; Sungsoo Rhim; Young-Jo Cho; Kwang-Ho Park; Gurvinder S. Virk (Robotica, 2013)

Vision based guidance line extraction for autonomous weed control robot in paddy field. - Keun Ha Choi; Sang Kwon Han; Kwang-Ho Park; Kyung-Soo Kim 001; Soohyun Kim 001 (ROBIO, 2015)

Morphology-based guidance line extraction for an autonomous weeding robot in paddy fields. - Keun Ha Choi; Sang Kwon Han; Sang Hoon Han; Kwang-Ho Park; Kyung-Soo Kim 001; Soohyun Kim 001 (Comput. Electron. Agric., 2015)

Determining minimum feature number of classification on clear cell renal cell carcinoma clinical dataset. - Kwang-Ho Park; Kwang Sun Ryu; Keun Ho Ryu (ICMLC, 2016)

Efficient Ensemble Methods for Classification on Clear Cell Renal Cell Carcinoma Clinical Dataset. - Kwang-Ho Park; Musa Ibrahim M. Ishag; Kwang Sun Ryu; Meijing Li; Keun Ho Ryu (ACIIDS (2), 2018)

Mobile Application Framework for IobT Hydrogen Skin Moisturizing. - Bilguun Jargalsaikhan; Ki Yong Kim; Erdenebileg Batbaatar; Kwang-Ho Park; Van Huy Pham 001; Jong Yun Lee; Keun Ho Ryu (ACIIDS (Extended Posters), 2019)

A machine-learning approach for predicting success in smoking cessation intervention. - Khishigsuren Davagdorj; Jong-Seol Lee; Kwang-Ho Park; Keun Ho Ryu (iCAST, 2019)

Identification of DNA Methylation Signatures for Diagnosis of Lung Adenocarcinoma. - Yongjun Piao; Kwang-Ho Park; Keun Ho Ryu; Rong Xiang (iCAST, 2019)

A Pattern-Based Academic Reviewer Recommendation Combining Author-Paper and Diversity Metrics. - Musa Ibrahim M. Ishag; Kwang-Ho Park; Jong Yun Lee; Keun Ho Ryu (IEEE Access, 2019)

An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Kwang-Ho Park; Tsatsral Amarbayasgalan; Erdenebileg Batbaatar; Hyun Woo Park; Keun Ho Ryu (IEEE Access, 2019)

Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Kwang-Ho Park; Heon Gyu Lee; Meijing Li; Keun Ho Ryu (IEEE Access, 2019)

Class-Incremental Learning With Deep Generative Feature Replay for DNA Methylation-Based Cancer Classification. - Erdenebileg Batbaatar; Kwang-Ho Park; Tsatsral Amarbayasgalan; Khishigsuren Davagdorj; Lkhagvadorj Munkhdalai; Van-Huy Pham 001; Keun Ho Ryu (IEEE Access, 2020)

Deep Learning-Based Demand Forecasting for Korean Postal Delivery Service. - Lkhagvadorj Munkhdalai; Kwang-Ho Park; Erdenebileg Batbaatar; Nipon Theera-Umpon; Keun Ho Ryu (IEEE Access, 2020)

A Subtype Classification of Hematopoietic Cancer Using Machine Learning Approach. - Kwang-Ho Park; Van Huy Pham 001; Khishigsuren Davagdorj; Lkhagvadorj Munkhdalai; Keun Ho Ryu (ACIIDS (Companion), 2021)

BioBERT Based Efficient Clustering Framework for Biomedical Document Analysis. - Khishigsuren Davagdorj; Kwang-Ho Park; Tsatsral Amarbayasgalan; Lkhagvadorj Munkhdalai; Ling Wang 011; Meijing Li; Keun Ho Ryu (ICGEC, 2021)

NFT Appraisal Using Machine Learning. - Ahmed Dawod Mohammed Dawod; Lkhagvadorj Munkhdalai; Kwang-Ho Park; Keun Ho Ryu; Van Huy Pham 001 (APIT, 2023)

An Extreme Gradient Boosting-based Prediction for Depression. - Ahmed Ibrahum; Kwang-Ho Park; Jang-Eui Hong; Van-Huy Pham 001; Keun Ho Ryu (APSIPA ASC, 2023)