Zobrazeno 1 - 10
of 422
pro vyhledávání: '"Jung Jae-Yoon"'
Autor:
Washington, Peter, Mutlu, Cezmi, Kline, Aaron, Hou, Cathy, Dunlap, Kaitlyn, Kent, Jack, Husic, Arman, Stockham, Nate, Chrisman, Brianna, Paskov, Kelley, Jung, Jae-Yoon, Wall, Dennis P.
Some of the most severe bottlenecks preventing widespread development of machine learning models for human behavior include a dearth of labeled training data and difficulty of acquiring high quality labels. Active learning is a paradigm for using alg
Externí odkaz:
http://arxiv.org/abs/2204.01915
Publikováno v:
In Neural Networks December 2024 180
Publikováno v:
In Renewable and Sustainable Energy Reviews August 2024 200
Functionally informative tag SNP selection using a pareto-optimal approach: playing the game of life
Publikováno v:
BMC Bioinformatics, Vol 10, Iss Suppl 13, p O5 (2009)
Externí odkaz:
https://doaj.org/article/12c6f46d2b5249658337c97b1b4f0f37
Autor:
Washington, Peter, Kalantarian, Haik, Kent, John, Husic, Arman, Kline, Aaron, Leblanc, Emilie, Hou, Cathy, Mutlu, Onur Cezmi, Dunlap, Kaitlyn, Penev, Yordan, Varma, Maya, Stockham, Nate Tyler, Chrisman, Brianna, Paskov, Kelley, Sun, Min Woo, Jung, Jae-Yoon, Voss, Catalin, Haber, Nick, Wall, Dennis Paul
Publikováno v:
JMIR pediatrics and parenting 5.2 (2022): e26760
Background: Automated emotion classification could aid those who struggle to recognize emotions, including children with developmental behavioral conditions such as autism. However, most computer vision emotion recognition models are trained on adult
Externí odkaz:
http://arxiv.org/abs/2012.08678
Autor:
Nelson Tristan H, Jung Jae-Yoon, DeLuca Todd F, Hinebaugh Byron K, St Gabriel Kristian, Wall Dennis P
Publikováno v:
BMC Medical Genomics, Vol 5, Iss 1, p 56 (2012)
Abstract Background The genetic etiology of autism is heterogeneous. Multiple disorders share genotypic and phenotypic traits with autism. Network based cross-disorder analysis can aid in the understanding and characterization of the molecular pathol
Externí odkaz:
https://doaj.org/article/a829d2eee72544409085fcadf85008d5
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 476 (2011)
Abstract Background A "phylogenetic profile" refers to the presence or absence of a gene across a set of organisms, and it has been proven valuable for understanding gene functional relationships and network organization. Despite this success, few st
Externí odkaz:
https://doaj.org/article/b02696a56c634210a0317db21a7f0ef6
Autor:
Jung Jae-Yoon, Tong Mark, Pivovarov Rimma, Wall Dennis P, Fusaro Vincent A, DeLuca Todd F, Tonellato Peter J
Publikováno v:
BMC Medical Genomics, Vol 3, Iss 1, p 50 (2010)
Abstract Background Disease-specific genetic information has been increasing at rapid rates as a consequence of recent improvements and massive cost reductions in sequencing technologies. Numerous systems designed to capture and organize this mountin
Externí odkaz:
https://doaj.org/article/c19376d1c00b474d8616b4e81d134d66
Autor:
Choo, Sanghyun, Park, Hoonseok, Kim, Sangyeon, Park, Donghyun, Jung, Jae-Yoon, Lee, Sangwon, Nam, Chang S.
Publikováno v:
In Expert Systems With Applications 1 October 2023 227
Autor:
Choi, Hee-Sun, An, Junmo, Kim, Jin-Gyun, Jung, Jae-Yoon, Choi, Juhwan, Orzechowski, Grzegorz, Mikkola, Aki, Choi, Jin Hwan
In this paper, a machine learning-based simulation framework of general-purpose multibody dynamics is introduced. The aim of the framework is to generate a well-trained meta-model of multibody dynamics (MBD) systems. To this end, deep neural network
Externí odkaz:
http://arxiv.org/abs/1909.02391