Jong‐Seok Lee
Korea Advanced Institute of Science and Technology · Medicine
About the Lab
Professor Jong-Seok Lee's research lab specializes in data-driven modeling and machine learning applications across diverse domains, including environmental hydraulics, biomedical informatics, recommender systems, and clinical decision support. The lab focuses on developing robust algorithms for imbalanced data classification, detecting adversarial attacks in recommendation systems, and improving predictive models in healthcare through advanced statistical and machine learning techniques. Recent work emphasizes real-world applicability, such as optimizing drug response prediction in oncology and enhancing audio-visual speech recognition under noisy conditions.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15This study extends the earlier contribution of Julien and Wargadalam in 1995. A larger database for the downstream hydraulic geometry of alluvial channels is examined through a nonlinear regression analysis. The database consists of a total of 1,485 measurements, 1,125 of which describe field data used for model calibration. The remaining 360 field and laboratory measurements are used for validation. The data used for validation include sand-bed, gravel-bed, and cobble-bed streams with meanderin
Recommender systems rely on the opinions of many users to predict the preferences of potential customers. These systems have been broadly used to make quality recommendations to increase sales. However, recommender systems are vulnerable to even small data inputs of malicious information. Inappropriate products can be offered to users by injecting a few unscrupulous “shilling” profiles into the recommender system. This research proposes to identify a cluster of profiles by focusing on “filler” r
PURPOSE Datopotamab deruxtecan (Dato-DXd) is a trophoblast cell-surface antigen-2–directed antibody-drug conjugate with a highly potent topoisomerase I inhibitor payload. The TROPION-Lung05 phase II trial (ClinicalTrials.gov identifier: NCT04484142 ) evaluated the safety and clinical activity of Dato-DXd in patients with advanced/metastatic non–small cell lung cancer (NSCLC) with actionable genomic alterations progressing on or after targeted therapy and platinum-based chemotherapy. PATIENTS AND
This paper presents a modification of Quinlan’s C4.5 algorithm for imbalanced data classification. While the C4.5 algorithm uses the difference in information entropy to determine the goodness of a split, the proposed method, which is named AUC4.5, examines the difference in the area under the ROC curve (AUC) of a split. It implies that our method attempts to maximize the AUC value of a trained decision tree in order to cope with class imbalance in data. An extensive experimental study was perfo
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Audio-visual speech recognition (AVSR) using acoustic and visual signals of speech has received attention because of its robustness in noisy environments. In this paper, we present a late integration scheme-based AVSR system whose robustness under various noise conditions is improved by enhancing the performance of the three parts composing the system. First, we improve the performance of the visual
Despite the importance of accurate assessment for low-density lipoprotein cholesterol (LDL-C), the Friedewald formula has primarily been used as a cost-effective method to estimate LDL-C when triglycerides are less than 400 mg/dL. In a recent study, an alternative to the formula was proposed to improve estimation of LDL-C. We evaluated the performance of the novel method versus the Friedewald formula using a sample of 5,642 Korean adults with LDL-C measured by an enzymatic homogeneous assay (LDL
Panax ginseng has been known to have a number of immuno-modulatory effects. In this study, we investigated whether Panax Korean red ginseng extract (KRGE) has in vitro and in vivo antiviral effects on respiratory syncytial virus (RSV) infection. KRGE improved the survival of human lung epithelial cells against RSV infection and inhibited RSV replication. In addition, KRGE treatment suppressed the expression of RSV-induced inflammatory cytokine genes (IL-6 and IL-8) and the formation of reactive
BACKGROUND: Isoflurane inhibits baroreflex control of heart rate (HR) by poorly understood mechanisms. The authors examined whether suprapontine central nervous system cardiovascular regulatory sites are required for anesthetic depression. METHODS: The effects of isoflurane (1 and 2 rat minimum alveolar concentration [MAC]) on the baroreflex control of HR were determined in sham intact and midcollicular-transected decerebrate rats. Intravenous phenylephrine (0.2-12 microg/kg) and nitroprusside (
This study aims to identify the therapeutic effect of Korean red ginseng (KRG) on the expression of inflammatory cytokines in rats with focal cerebral ischemia/reperfusion injury. Adult male Sprague-Dawley rats were subjected to transient middle cerebral artery occlusion (tMCAO) for two hours. They were fed KRG extract (100 mg/kg/day per orally) or saline after reperfusion. Tests for neurological deficits, using the modified neurologic severity score and the corner turn test, were performed befo
Research Areas
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