Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Michael J Henry"'
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 18, Iss 6, Pp 50-58 (2020)
In an instance where desired pre-defined actions, behaviors, or other categories are known a priori, various video classification and recognition models can be trained to discover those classifications and their location within the video. Absent that
Externí odkaz:
https://doaj.org/article/b7b01b88b7904db081b04459be05543a
Autor:
Michael J. Henry
This is the essential how-to book for bikepacking on the Colorado Trail, whether you want to ride a segment or two on the weekends, or all 535 miles in one go. It is a companion resource that includes bike-specific information missed by other Colorad
Publikováno v:
CVPR Workshops
While deep learning models have made incredible progress across a variety of machine learning tasks, they remain vulnerable to adversarial examples crafted to fool otherwise trustworthy models. Previous work has proposed examining the internal activa
Autor:
Carl E. Allen, Philippe Jacqmin, Simone Cesaro, Julián Sevilla, Franca Fagioli, Alexei Grom, Jose-Luis Dapena Diaz, Anupama Rao, Michael J Henry, Timothy P. Garrington, Carmelo Rizzari, Martina Ahlmann, Maria Ballabio, Fabrizio De Benedetti, Franco Locatelli, Barbara A. Degar, Cristina de Min, Geneviève Lapeyre, Michael B. Jordan, Maria-Caterina Putti
Primary hemophagocytic lymphohistiocytosis is a rare syndrome characterized by immune dysregulation and hyperinflammation. It typically manifests in infancy and is associated with high mortality.We investigated the efficacy and safety of emapalumab (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fac38df9c702792b6f7b29f67fbd8ac
http://hdl.handle.net/2318/1757455
http://hdl.handle.net/2318/1757455
Autor:
Natalie Tomaszewski, Lauren E. Charles, Michael J. Henry, Ashutosh Bhadke, Meeshu Agnihotri, Huiwen Cheng
Publikováno v:
Online Journal of Public Health Informatics
ObjectiveEpi Evident is a web based application built to empower public health analysts by providing a platform that improves monitoring, comparing, and forecasting case counts and period prevalence of notifiable diseases for any scale jurisdiction a
Autor:
Michael J. Henry, Yuanqing Jin, Cree White, Lauren E. Charles, Devin P. Wright, Zhuanyi Huang, Fnu Anubhav
Publikováno v:
Online Journal of Public Health Informatics
Objective: The Wearable Sensor Application developed by Pacific Northwest National Laboratory (PNNL) provides an early warning system for stressors to individual and group health using physiologic and environmental indicators. The application integra
Publikováno v:
CHI Extended Abstracts
Sensalert is a wearable health tracking application that enables monitoring of a target population's health status in real-time. The application integrates health monitoring parameters from wearable sensors, e.g., temperature and heart rate, with rel
Publikováno v:
CHI Extended Abstracts
Public health surveillance systems gain significant benefits from integrating existing early incident detection systems, supported by closed data sources, with public available data. However, identifying potential alerting incidents relies on finding
Publikováno v:
Online Journal of Public Health Informatics
Objective Pacific Northwest National Laboratory hosted an intern-based web application development contest in the summer of 2016 centered around developing novel chemical surveillance applications to aid in health situational awareness. Making up the
Autor:
Bruce J. Palmer, David A. Randall, Michael J. Henry, Karen Schuchardt, D. A. Dazlich, Ross Heikes, Jeff Daily, Lynn Wood
Publikováno v:
The International Journal of High Performance Computing Applications. 29:107-116
Fine cell granularity in modern climate models can produce terabytes of data in each snapshot, causing significant I/O overhead. To address this issue, a method of reducing the I/O latency of high-resolution climate models by identifying and selectiv