Detecting Depression of Cancer Patients with Daily Mental Health Logs from Mobile Applications. - Junetae Kim; Sanghee Lim; Byungtae Lee; Jong Won Lee (ICIS, 2015)

Are uber really to blame for sexual assault?: evidence from New York city. - Jiyong Park; Junetae Kim; Byungtae Lee (ICEC, 2016)

Dynamics of Social Influence on New Employees' Use of Volitional IS: m-EHR Case in Hospital Setting. - Sanghee Lim; Junetae Kim; Byungtae Lee; Jae Ho Lee; Yura Lee (ICIS, 2016)

How Are Doctors Using Mobile Electronic Medical Records? An In-Depth Analysis of the Usage Pattern. - Junetae Kim; Yura Lee; Sanghee Lim; Jae Ho Lee (MedInfo, 2017)

The Deterrent Effect of Ride-Sharing on Sexual Assault and Investigation of Situational Contingencies. - Jiyong Park; Min-Seok Pang; Junetae Kim; Byungtae Lee (Inf. Syst. Res., 2021)

Deep Learning Models with Stratification-based Loss Function on Domain Knowledge-based Time series Data: Hypotension Prediction. - Hanseok Jeong; Junetae Kim; Jueun Jeong; Han-joon Kim (IEEE Big Data, 2022)

SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes. - Junetae Kim; Kyoungsuk Park; Hanseok Jeong; Youngwook Kim; Jeongseon Kim; Sun-Young Kim (ICML, 2023)

Development of a Bispectral index score prediction model based on an interpretable deep learning algorithm. - Eugene Hwang; Hee-Sun Park; Hyun-Seok Kim; Jin-Young Kim; Hanseok Jeong; Junetae Kim; Sung-Hoon Kim (Artif. Intell. Medicine, 2023)

Intraoperative Hypotension Prediction Based on Features Automatically Generated Within an Interpretable Deep Learning Model. - Eugene Hwang; Yong-Seok Park; Jin-Young Kim; Sung-Hyuk Park; Junetae Kim; Sung-Hoon Kim (IEEE Trans. Neural Networks Learn. Syst., 2024)