Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Dylan Jackson"'
Autor:
Sarah J Brislin, Maia Choi, Emily R. Perkins, Lia Ahonen, Henrika McCoy, Paul Boxer, Duncan Clark, Dylan Jackson, Brian M. Hicks
Objective: Black youth are disproportionately exposed to school exclusionary discipline. We examined the impact of race on age at the onset of school disciplinary actions and police contact, and the rate of receiving increasingly severe disciplinary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcd40407e3a4bb76a9db04bd9522593f
https://doi.org/10.31234/osf.io/7azqn
https://doi.org/10.31234/osf.io/7azqn
Objectives: This study assesses the association between adverse childhood experiences (ACEs) and prescription opioid use during pregnancy. Methods: This study uses data on 2,999 individuals from the 2019 and 2020 Pregnancy Risk Assessment Monitoring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e4a59f5f4ed14b8d8013e52f8e31e24
https://doi.org/10.21203/rs.3.rs-2547252/v1
https://doi.org/10.21203/rs.3.rs-2547252/v1
Autor:
Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alex J. Smola
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:408-417
Autoregressive models using Transformers have emerged as the dominant approach for music generation with the goal of synthesizing minute-long compositions that exhibit large-scale musical structure. These models are commonly trained by minimizing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be0c8ec7ba0d90ab81d6a1f237844e80
https://doi.org/10.1609/aaai.v35i1.16117
https://doi.org/10.1609/aaai.v35i1.16117
Publikováno v:
Obstetrics & Gynecology. 141:78S-78S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f56d0b53a01135b9d12b761bfac0efd
https://doi.org/10.1097/01.aog.0000930924.62657.65
https://doi.org/10.1097/01.aog.0000930924.62657.65
Autor:
Yunzhe Tao, Tao Sun, Aashiq Muhamed, Sahika Genc, Dylan Jackson, Ali Arsanjani, Suri Yaddanapudi, Liang Li, Prachi Kumar
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
In this work, we propose to use a deep learning framework for decoding the electroencephalogram (EEG) signals of human brain activities. More specifically, we learn an end-to-end model that recognizes natural images or motor imagery by the EEG data t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12cdf7f5324e9de2327c1a4a792ee201
https://pubmed.ncbi.nlm.nih.gov/34891254
https://pubmed.ncbi.nlm.nih.gov/34891254
Publikováno v:
MeMeA
Accurate ambulatory sensing of patterns of respiratory effort has long eluded biomedical researchers. Though the data would inform clinical decision-making, the lack of sensors suitable for such data collection stymies clinical impact. This study des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ef1b7dea1177cd6474d01318f35b21c
https://doi.org/10.1109/memea.2018.8438678
https://doi.org/10.1109/memea.2018.8438678