Search Results - "Jae-Yoon Jung"

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  1. 1

    LiReD: A Light-Weight Real-Time Fault Detection System for Edge Computing Using LSTM Recurrent Neural Networks by Park, Donghyun, Kim, Seulgi, An, Yelin, Jung, Jae-Yoon

    Published in Sensors (Basel, Switzerland) (30-06-2018)
    “…Monitoring the status of the facilities and detecting any faults are considered an important technology in a smart factory. Although the faults of machine can…”
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  2. 2

    Use of artificial intelligence to shorten the behavioral diagnosis of autism by Wall, Dennis P, Dally, Rebecca, Luyster, Rhiannon, Jung, Jae-Yoon, Deluca, Todd F

    Published in PloS one (27-08-2012)
    “…The Autism Diagnostic Interview-Revised (ADI-R) is one of the most commonly used instruments for assisting in the behavioral diagnosis of autism. The exam…”
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    Spatio-temporal explanation of 3D-EEGNet for motor imagery EEG classification using permutation and saliency by Park, Donghyun, Park, Hoonseok, Kim, Sangyeon, Choo, Sanghyun, Lee, Sangwon, Nam, Chang S., Jung, Jae-Yoon

    “…Recently, convolutional neural network (CNN)-based classification models have shown good performance for motor imagery (MI) brain-computer interfaces (BCI)…”
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  5. 5

    The human “contaminome”: bacterial, viral, and computational contamination in whole genome sequences from 1000 families by Chrisman, Brianna, He, Chloe, Jung, Jae-Yoon, Stockham, Nate, Paskov, Kelley, Washington, Peter, Wall, Dennis P.

    Published in Scientific reports (14-06-2022)
    “…The unmapped readspace of whole genome sequencing data tends to be large but is often ignored. We posit that it contains valuable signals of both human…”
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    Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value by Sun, Min Woo, Moretti, Stefano, Paskov, Kelley M, Stockham, Nate T, Varma, Maya, Chrisman, Brianna S, Washington, Peter Y, Jung, Jae-Yoon, Wall, Dennis P

    Published in BMC bioinformatics (12-08-2020)
    “…Complex human health conditions with etiological heterogeneity like Autism Spectrum Disorder (ASD) often pose a challenge for traditional genome-wide…”
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  7. 7

    Estimating effective connectivity in Alzheimer's disease progression: A dynamic causal modeling study by Huang, Jiali, Jung, Jae-Yoon, Nam, Chang S

    Published in Frontiers in human neuroscience (15-12-2022)
    “…Alzheimer's disease (AD) affects the whole brain from the cellular level to the entire brain network structure. The causal relationship among brain regions…”
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  8. 8

    Data-driven simulation for general-purpose multibody dynamics using Deep Neural Networks by Choi, Hee-Sun, An, Junmo, Han, Seongji, Kim, Jin-Gyun, Jung, Jae-Yoon, Choi, Juhwan, Orzechowski, Grzegorz, Mikkola, Aki, Choi, Jin Hwan

    Published in Multibody system dynamics (01-04-2021)
    “…In this paper, we introduce a machine learning-based simulation framework of general-purpose multibody dynamics (MBD). The aim of the framework is to construct…”
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  9. 9

    InfoFlow: Mining Information Flow Based on User Community in Social Networking Services by Obregon, Josue, Song, Minseok, Jung, Jae-Yoon

    Published in IEEE access (2019)
    “…Online social networking services (SNSs) have emerged rapidly and have become huge data sources for social network analysis. The spread of the content…”
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  10. 10

    Comorbid Analysis of Genes Associated with Autism Spectrum Disorders Reveals Differential Evolutionary Constraints by David, Maude M, Enard, David, Ozturk, Alp, Daniels, Jena, Jung, Jae-Yoon, Diaz-Beltran, Leticia, Wall, Dennis P

    Published in PloS one (14-07-2016)
    “…The burden of comorbidity in Autism Spectrum Disorder (ASD) is substantial. The symptoms of autism overlap with many other human conditions, reflecting common…”
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  11. 11

    Transmission dynamics of human herpesvirus 6A, 6B and 7 from whole genome sequences of families by Chrisman, Brianna S, He, Chloe, Jung, Jae-Yoon, Stockham, Nate, Paskov, Kelley, Wall, Dennis P

    Published in Virology journal (24-12-2022)
    “…While hundreds of thousands of human whole genome sequences (WGS) have been collected in the effort to better understand genetic determinants of disease, these…”
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  12. 12

    Indels in SARS-CoV-2 occur at template-switching hotspots by Chrisman, Brianna Sierra, Paskov, Kelley, Stockham, Nate, Tabatabaei, Kevin, Jung, Jae-Yoon, Washington, Peter, Varma, Maya, Sun, Min Woo, Maleki, Sepideh, Wall, Dennis P

    Published in BioData mining (20-03-2021)
    “…The evolutionary dynamics of SARS-CoV-2 have been carefully monitored since the COVID-19 pandemic began in December 2019. However, analysis has focused…”
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  13. 13

    Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers by Chrisman, Brianna S, Paskov, Kelley M, Stockham, Nate, Jung, Jae-Yoon, Varma, Maya, Washington, Peter Y, Tataru, Christine, Iwai, Shoko, DeSantis, Todd Z, David, Maude, Wall, Dennis P

    Published in BMC bioinformatics (19-10-2021)
    “…Sequencing partial 16S rRNA genes is a cost effective method for quantifying the microbial composition of an environment, such as the human gut. However,…”
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  14. 14

    PRANAS: A Process Analytics System Based on Process Warehouse and Cube for Supply Chain Management by Kim, Aekyung, Obregon, Josue, Jung, Jae-Yoon

    Published in Applied sciences (01-05-2020)
    “…Most organizations need to monitor and assess their business activities. In order to support the performance analysis of the business activities in a more…”
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    Cross-Disorder Genomics Data Analysis Elucidates a Shared Genetic Basis Between Major Depression and Osteoarthritis Pain by Barowsky, Sophie, Jung, Jae-Yoon, Nesbit, Nicholas, Silberstein, Micah, Fava, Maurizio, Loggia, Marco L, Smoller, Jordan W, Lee, Phil H

    Published in Frontiers in genetics (16-09-2021)
    “…Osteoarthritis (OA) and major depression (MD) are two debilitating disorders that frequently co-occur and affect millions of the elderly each year. Despite the…”
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  17. 17

    Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation by Stockham, Nathaniel, Washington, Peter, Chrisman, Brianna, Paskov, Kelley, Jung, Jae-Yoon, Wall, Dennis Paul

    Published in JMIR public health and surveillance (21-07-2022)
    “…Selection bias and unmeasured confounding are fundamental problems in epidemiology that threaten study internal and external validity. These phenomena are…”
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    Genomewide alteration of histone H3K4 methylation underlies genetic vulnerability to psychopathology by Nesbit, Nicholas, Wallace, Rachel, Harihar, Sourabh, Zhou, Millie, Jung, Jae-Yoon, Silberstein, Micah, Lee, Phil H.

    Published in Journal of genetics (01-10-2021)
    “…Dysregulated histone methylation has emerged as a recurring theme in multiple neuropsychiatric disorders. However, it is yet unclear whether the altered…”
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    Conversion of Natural Biowaste into Energy Storage Materials and Estimation of Discharge Capacity through Transfer Learning in Li-Ion Batteries by Nanthagopal, Murugan, Mouraliraman, Devanadane, Han, Yu-Ri, Ho, Chang Won, Obregon, Josue, Jung, Jae-Yoon, Lee, Chang Woo

    Published in Nanomaterials (Basel, Switzerland) (01-11-2023)
    “…To simultaneously reduce the cost of environmental treatment of discarded food waste and the cost of energy storage materials, research on biowaste conversion…”
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  20. 20

    Estimating sequencing error rates using families by Paskov, Kelley, Jung, Jae-Yoon, Chrisman, Brianna, Stockham, Nate T, Washington, Peter, Varma, Maya, Sun, Min Woo, Wall, Dennis P

    Published in BioData mining (23-04-2021)
    “…As next-generation sequencing technologies make their way into the clinic, knowledge of their error rates is essential if they are to be used to guide patient…”
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