Federated analyses of multiple data sources in drug safety studies
Sign Up to like & getrecommendations! Published in 2022 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.5587
Abstract: Studies of rare side effects of new drugs with limited exposure may require pooling of multiple data sources. Federated Analyses (FA) allow real‐time, interactive, centralized statistical processing of individual‐level data from different data sets without… read more here.
Keywords: data sources; drug safety; multiple data; federated analyses ... See more keywords
Collaborative deep learning across multiple data centers
Sign Up to like & getrecommendations! Published in 2020 at "Science China Information Sciences"
DOI: 10.1007/s11432-019-2705-2
Abstract: Valuable training data is often owned by independent organizations and located in multiple data centers. Most deep learning approaches require to centralize the multi-datacenter data for performance purpose. In practice, however, it is often infeasible… read more here.
Keywords: collaborative deep; multiple data; model averaging; deep learning ... See more keywords
Multiple-data-based monthly geopotential model set LDCmgm90
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Data"
DOI: 10.1038/s41597-019-0239-7
Abstract: AbstractWhile the GRACE (Gravity Recovery and Climate Experiment) satellite mission is of great significance in understanding various branches of Earth sciences, the quality of GRACE monthly products can be unsatisfactory due to strong longitudinal stripe-pattern… read more here.
Keywords: difference combination; monthly geopotential; multiple data; least difference ... See more keywords
Are clusterings of multiple data views independent?
Sign Up to like & getrecommendations! Published in 2019 at "Biostatistics"
DOI: 10.1093/biostatistics/kxz001
Abstract: In the Pioneer 100 (P100) Wellness Project, multiple types of data are collected on a single set of healthy participants at multiple timepoints in order to characterize and optimize wellness. One way to do this… read more here.
Keywords: multiple data; clusterings multiple; views independent; clustering participants ... See more keywords
Generating Recommendations From Multiple Data Sources: A Methodological Framework for System Design and Its Application
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3028777
Abstract: Recommender systems (RSs) are systems that produce individualized recommendations as output or drive the user in a personalized way to interesting or useful objects in a space of possible options. Recently, RSs emerged as an… read more here.
Keywords: methodological framework; decision making; design; framework ... See more keywords
Multiple data sources and freely available code is critical when investigating species distributions and diversity: a response to Knouft (2018).
Sign Up to like & getrecommendations! Published in 2018 at "Ecology letters"
DOI: 10.1111/ele.13105
Abstract: A recent comment from Knouft () has suggested that our original article (Dallas et al. ) was an 'inappropriate application of biodiversity data'. Here, we affirm our results, and address the more general point about biodiversity… read more here.
Keywords: data sources; multiple data; available code; sources freely ... See more keywords
Prospectivity analysis of gold and iron oxide copper-gold-(silver) mineralizations from the Faina Greenstone Belt, Brazil, using multiple data sets
Sign Up to like & getrecommendations! Published in 2017 at "Brazilian Journal of Geology"
DOI: 10.1590/2317-4889201720170012
Abstract: The Faina Greenstone Belt is located in the southern sector of the Goias Archean Block and has been investigated since the 18th century because of its gold deposits. Recent studies have revealed the polymetallic potential… read more here.
Keywords: greenstone belt; multiple data; prospectivity; faina greenstone ... See more keywords
Semi-seasonal groundwater forecast using multiple data-driven models in an irrigated cropland
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2018.002
Abstract: In agricultural areas where groundwater is the main water supply for irrigation, forecasts of the water table are key to optimal water management. However, water management can be constrained by semiseasonal to seasonal forecast. The… read more here.
Keywords: groundwater; driven models; multiple data; water ... See more keywords
Leveraging Multiple Data Streams for Prioritization of Mixtures for Hazard Characterization
Sign Up to like & getrecommendations! Published in 2022 at "Toxics"
DOI: 10.3390/toxics10110651
Abstract: There is a growing need to establish alternative approaches for mixture safety assessment of polycyclic aromatic hydrocarbons (PAHs). Due to limitations with current component-based approaches, and the lack of established methods for using whole mixtures,… read more here.
Keywords: data streams; mixture; multiple data; toxicity ... See more keywords