Search Results - "CHOI, HYUN‐SOO"
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The message passing neural networks for chemical property prediction on SMILES
Published in Methods (San Diego, Calif.) (01-07-2020)“…•This is the first study on applying the message passing algorithm to learning chemical properties directly from SMILES strings.•We identified the optimal…”
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Special Issue on FinTech and Related Issue
Published in Asia-Pacific journal of financial studies (01-04-2024)Get full text
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Clogged Intermediation: Were Home Buyers Crowded Out?
Published in Journal of money, credit and banking (01-06-2022)“…Postcrisis policy interventions significantly increased the demand for mortgage refinancing, but there is an unexplored possibility that the surge in…”
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Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors
Published in IEEE access (2016)“…Electrocardiogram (ECG) signals from mobile sensors are expected to increase the availability of authentication in the emerging wearable device industry…”
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Explicit Feature Interaction-Aware Graph Neural Network
Published in IEEE access (2024)“…Graph neural networks (GNNs) are powerful tools for handling graph-structured data. However, their design often limits them to learning only higher-order…”
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Arginase‐2, a miR‐1299 target, enhances pigmentation in melasma by reducing melanosome degradation via senescence‐induced autophagy inhibition
Published in Pigment cell and melanoma research (01-11-2017)“…Summary Expression profiles revealed miR‐1299 downregulation concomitant with arginase‐2 (ARG2) upregulation in hyperpigmented skin of melasma patients…”
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Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information
Published in IEEE access (2021)“…Bridging the exponentially growing gap between the numbers of unlabeled and labeled protein sequences, several studies adopted semi-supervised learning for…”
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Computer Aided Facial Bone Fracture Diagnosis (CA-FBFD) System Based on Object Detection Model
Published in IEEE access (2022)“…Facial bone fractures must be diagnosed and treated as early as possible to avoid complications and sequelae. CT images need to be analyzed to detect…”
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Altered attentional control over the salience network in complex regional pain syndrome
Published in Scientific reports (10-05-2018)“…The degree and salience of pain have been known to be constantly monitored and modulated by the brain. In the case of maladaptive neural responses as reported…”
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Shared Knowledge-based Contrastive Federated Learning for Partial Discharge Diagnosis In Gas-insulated Switchgear
Published in IEEE access (01-01-2024)“…Recently, deep neural networks have shown remarkable success in fault diagnosis in power systems using partial discharges (PDs), thereby enhancing grid asset…”
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Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study
Published in Journal of Korean medical science (05-02-2024)“…Worldwide, sepsis is the leading cause of death in hospitals. If mortality rates in patients with sepsis can be predicted early, medical resources can be…”
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Multi-View Computed Tomography Network for Osteoporosis Classification
Published in IEEE access (01-01-2023)“…Osteoporosis is a skeletal disease that is difficult to identify in advance of symptoms. Existing skeletal disease screening methods, such as dual-energy X-ray…”
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PME: pruning-based multi-size embedding for recommender systems
Published in Frontiers in big data (15-06-2023)“…Embedding is widely used in recommendation models to learn feature representations. However, the traditional embedding technique that assigns a fixed size to…”
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A Deep Learning-Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical Illness
Published in JMIR formative research (08-03-2024)“…Vancomycin pharmacokinetics are highly variable in patients with critical illnesses, and clinicians commonly use population pharmacokinetic (PPK) models based…”
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Deep learning based low-cost high-accuracy diagnostic framework for dementia using comprehensive neuropsychological assessment profiles
Published in BMC geriatrics (03-10-2018)“…The conventional scores of the neuropsychological batteries are not fully optimized for diagnosing dementia despite their variety and abundance of information…”
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Selective chemical separation of carbondioxide by ether functionalized imidazolium cation based ionic liquids
Published in Chemical engineering journal (Lausanne, Switzerland : 1996) (01-02-2012)“…[Display omitted] ► Synthesis of ether functionalized imidazolium cation-based [C2Omim][X] ILs. ► Investigation of CO2 absorption capacity at 30 and 50°C at…”
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ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records
Published in Applied sciences (01-11-2022)“…This operative report documents the details of a surgery. Standardization of the medical terminology for the operative report written in free text is…”
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Relative Quantification of Glycans by Metabolic Isotope Labeling with Isotope Glucose in Aspergillus niger
Published in Mass spectrometry letters (31-12-2022)Get full text
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Pediatric Sleep Stage Classification Using Multi-Domain Hybrid Neural Networks
Published in IEEE access (2019)“…Sleep staging is an important part of clinical neurology. However, it is still performed manually by technical experts and is labor-intensive and…”
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Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms
Published in Frontiers in neurology (22-08-2022)“…Background and ObjectiveIdentifying biomarkers for predicting progression to dementia in patients with mild cognitive impairment (MCI) is crucial. To this end,…”
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