Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ofer Mendelevitch"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
When attempting to answer questions of interest, scientists often encounter hurdles that may stem from limited access to existing adequate datasets as a consequence of poor data sharing practices, constraining administrative practices. Further, when
Externí odkaz:
https://doaj.org/article/455e1de3ea3e4b72a63e53061d0dd141
Autor:
Jason A, Thomas, Randi E, Foraker, Noa, Zamstein, Jon D, Morrow, Philip R O, Payne, Adam B, Wilcox, Ofer, Mendelevitch
Publikováno v:
medRxiv
article-version (status) pre
article-version (number) 1
article-version (status) pre
article-version (number) 1
Objective This study sought to evaluate whether synthetic data derived from a national coronavirus disease 2019 (COVID-19) dataset could be used for geospatial and temporal epidemic analyses. Materials and Methods Using an original dataset (n = 1 854
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d502526c7d08e495991e22275655e86
https://pubmed.ncbi.nlm.nih.gov/34268525
https://pubmed.ncbi.nlm.nih.gov/34268525
Publikováno v:
Frontiers in Artificial Intelligence
Frontiers in Artificial Intelligence, Vol 4 (2021)
Muniz-terrera, G, Mendelevitch, O, Barnes, R & Lesh, M D 2021, ' Virtual Cohorts and Synthetic Data in Dementia: An Illustration of Their Potential to Advance Research ', Frontiers in Artificial Intelligence, vol. 4 . https://doi.org/10.3389/frai.2021.613956
Frontiers in Artificial Intelligence, Vol 4 (2021)
Muniz-terrera, G, Mendelevitch, O, Barnes, R & Lesh, M D 2021, ' Virtual Cohorts and Synthetic Data in Dementia: An Illustration of Their Potential to Advance Research ', Frontiers in Artificial Intelligence, vol. 4 . https://doi.org/10.3389/frai.2021.613956
When attempting to answer questions of interest, scientists often encounter hurdles that may stem from limited access to existing adequate datasets as a consequence of poor data sharing practices, constraining administrative practices. Further, when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f514c4718a58e5e9a99f6909b47420b
https://pubmed.ncbi.nlm.nih.gov/34079930
https://pubmed.ncbi.nlm.nih.gov/34079930
Autor:
Ofer Mendelevitch, Michael D. Lesh
Publikováno v:
Security and Privacy From a Legal, Ethical, and Technical Perspective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb529ade32427c64fe234fbd65482447
http://www.intechopen.com/articles/show/title/beyond-differential-privacy-synthetic-micro-data-generation-with-deep-generative-neural-networks
http://www.intechopen.com/articles/show/title/beyond-differential-privacy-synthetic-micro-data-generation-with-deep-generative-neural-networks
The Complete Guide to Data Science with Hadoop—For Technical Professionals, Businesspeople, and Students Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop® and Sp
Autor:
Ofer Mendelevitch, Casey Stella
The Example-Rich, Hands-On Guide to Data Munging with Apache HadoopTM Data scientists spend much of their time “munging” data: handling day-to-day tasks such as data cleansing, normalization, aggregation, sampling, and transformation. These tasks
Publikováno v:
EC
We discuss an auction framework in which sponsored search advertisements are delivered in response to queries. In practice, the presence of bidder budgets can have a significant impact on the ad delivery process. We propose an approach based on linea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eca1f083e7eb484aef381cd18230a170
https://doi.org/10.1145/1250910.1250950
https://doi.org/10.1145/1250910.1250950