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- publication . Preprint . Other literature type . Conference object . 2020Open Access EnglishAuthors:Kun Zhang; Ruichu Cai; Zhifeng Hao; Jie Qiao; Zijian Li; Pengfei Wei;Project: NIH | INTEGRATIVE GRAPHICAL MOD... (5R01LM012087-02), NIH | Administrative (5U54HG008540-02), NSF | Collaborative Research: C... (1829681)
<jats:p>Domain adaptation is an important but challenging task. Most of the existing domain adaptation methods struggle to extract the domain-invariant representation on the feature space with entangling domain information and semantic information. Different from previo...
- publication . Other literature type . Article . 2020Open AccessAuthors:Daniel Joseph Exeter; Hamish Osborne;Publisher: Springer Science and Business Media LLCProject: NIH | UAB Statistical Genetics ... (5T32HL072757-05), NIH | Obesity and Mortality (5R01DK076771-03), NIH | UAB CLINICAL NUTRITION RE... (5P30DK056336-04)
Objective Current clinical guidelines and public health statements generically prescribe body mass index (BMI; kgm2) categories regardless of the individual’s situation (age, risk for diseases, etc.). However, regarding BMI and mortality rate (MR), two well-established ...
- publication . Preprint . Article . Other literature type . 2020Open Access EnglishAuthors:Timothy D. Johnson; Silvia Montagna; Pantelis Samartsidis; Thomas E. Nichols; Peter T. Fox; Angela R. Laird;Publisher: Cold Spring Harbor LaboratoryProject: WT | Transforming statistical ... (100309), NIH | Bayesian Spatial Point Pr... (5R01NS075066-03)
Coordinate-based meta-analyses (CBMA) allow researchers to combine the results from multiple fMRI experiments with the goal of obtaining results that are more likely to generalise. However, the interpretation of CBMA findings can be impaired by the file drawer problem, ...
- publication . Preprint . Article . 2020Open Access EnglishAuthors:Yadan Fan; Yifan Li; Rui Zhang; Sicheng Zhou;Project: NIH | University of Minnesota C... (1UL1TR002494-01), NIH | An Informatics Framework ... (1R01AT009457-01)
<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Objective</jats:title> <jats:p>We sought to demonstrate the feasibility of utilizing deep learning models to extract safety signals related to the use of dietary supplements (DSs) in clinical text.</jats:p> </jats...
- publication . Preprint . Part of book or chapter of book . 2020Open Access EnglishAuthors:Paul A. Yushkevich; Pulkit Khandelwal;Project: NIH | Adaptive Large-Scale Fram... (5R01EB017255-04)
Comment: Medical Image Computing and Computer Assisted Interventions (MICCAI) 2020 to be presented at DART 2020. Supplementary material and link to code included
- publication . Article . 2020Open Access EnglishAuthors:Anne Christophe; Anne Christophe; Mireille Babineau; Mireille Babineau; John C. Trueswell; Alex de Carvalho;doi: 10.1111/desc.13010Publisher: HAL CCSDProject: ANR | LangLearn (ANR-13-APPR-0012), ANR | LangAge (ANR-17-CE28-0007), NIH | THE DEVELOPMENT OF ON - L... (4R01HD037507-18), EC | SASC (799380), ANR | FrontCog (17-EURE-0017)
International audience; Young children can exploit the syntactic context of a novel word to narrow down its probable meaning. But how do they learn which contexts are linked to which semantic features in the first place? We investigate if 3‐ to 4‐year‐old children (n = ...
- publication . Part of book or chapter of book . Preprint . 2020Open AccessAuthors:Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Zongwei Zhou; Jianming Liang; Fatemeh Haghighi;Publisher: Springer International PublishingProject: NIH | Computer-Aided Diagnosis ... (1R01HL128785-01A1)
Comment: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020)
- publication . Preprint . Conference object . 2020Open Access EnglishAuthors:Avner May; Christopher Ré; Simran Arora; Jian Zhang;Project: NIH | Mobility Data Integration... (5U54EB020405-02), NSF | AF: Medium: Collaborative... (1763315)
We study the settings for which deep contextual embeddings (e.g., BERT) give large improvements in performance relative to classic pretrained embeddings (e.g., GloVe), and an even simpler baseline---random word embeddings---focusing on the impact of the training set siz...
- publication . Preprint . 2020Open Access EnglishAuthors:Su Golder; Haitao Cai; Ari Z. Klein; Davy Weissenbacher; Arjun Magge; Karen O'Connor;Publisher: Cold Spring Harbor LaboratoryProject: NIH | Tracking Evolution and Sp... (5R01AI117011-02), NIH | Mining Social Network Pos... (5R01LM011176-02)
<jats:p>The rapidly evolving COVID-19 pandemic presents challenges for actively monitoring its transmission. In this study, we extend a social media mining approach used in the US to automatically identify personal reports of COVID-19 on Twitter in England, UK. The find...
- publication . Article . 2020Open Access EnglishAuthors:Mary C. Rolfes; Sunghwan Sohn; Hongfang Liu; Sebastian M. Armasu; Hee Yun Seol; Hee Yun Seol; Junya Ono; Jose A. Castro-Rodriguez; Miguel A. Park; Hirohito Kita; ...Publisher: BMJ Publishing GroupProject: NIH | Multimorbidity and Aging:... (5R01AG034676-52), NIH | Identification and charac... (2R01HL126667-04A1), NIH | Secondary use of EMR for ... (1R21AI142702-01A1), NIH | Enhanced Ascertainment of... (5R21AI116839-02), NIH | Mayo Clinic Center for Cl... (5UL1TR000135-08)
<jats:sec><jats:title>Introduction</jats:title><jats:p>The lack of effective, consistent, reproducible and efficient asthma ascertainment methods results in inconsistent asthma cohorts and study results for clinical trials or other studies. We aimed to assess whether ap...