Results 41 to 50 of about 67,958,627 (334)
, 2014 The ability to collect and analyze large amounts of data is a growing problem within the scientific community. The growing gap between data and users calls for innovative tools that address the challenges faced by big data volume, velocity and variety ...
Gadepally, Vijay, Kepner, Jeremy
core +1 more source
Predictive analysis of microarray data [PDF]
, 2014 Microarray gene expression data are analyzed by means of a Bayesian nonparametric model, with emphasis on prediction of future observables, yielding a method for selection of differentially expressed genes and a ...
F., Paulo C. Marques +1 more
core +1 more source
Study of excited nucleon states at EBAC: status and plans
, 2009 We present an overview of a research program for the excited nucleon states in Excited Baryon Analysis Center (EBAC) at Jefferson Lab. Current status of our analysis of the meson production reactions based on the unitary dynamical coupled-channels model ...
Arndt R A +5 more
core +1 more source
The role of health policy in the burden of breast cancer in Brazil
BMC Women's Health, 2017 Background Breast cancer affects millions of women worldwide, particularly in Brazil, where public healthcare system is an important model in health organization and the cost of chronic disease has affected the economy in the first decade of the twenty ...
Francisco Winter dos Santos Figueiredo +5 more
doaj +1 more source
Prediction of SMEs’ R&D performances by machine learning for project selection
Scientific Reports, 2023 To improve the efficiency of government-funded research and development (R&D) programs for small and medium enterprises, it is necessary to make the process of selecting beneficiary firm objective.
Hyoung Sun Yoo +2 more
doaj +1 more source
Detecting dense text in natural images
IET Computer Vision, 2020 Most existing text detection methods are mainly motivated by deep learning‐based object detection approaches, which may result in serious overlapping between detected text lines, especially in dense text scenarios.
Dianzhuan Jiang +6 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Due to the extremely complex composition of remote sensing scenes, REmote Sensing Image Scene Classification (RESISC) is still a challenging task. To further improve classification accuracy, this article introduces a deep-learning detector into RESISC ...
Xiaoliang Yang +5 more
doaj +1 more source
Reconstruction of Ultra-High Vacuum Mass Spectra Using Genetic Algorithms
Applied Sciences, 2021 In ultra-high vacuum systems, obtaining the composition of a mass spectrum is often a challenging task due to the highly overlapping nature of the individual profiles of the gas species that contribute to that spectrum, as well as the high differences in
Carlos Flores-Garrigós +5 more
doaj +1 more source
Calibrating Noise to Sensitivity in Private Data Analysis
Theory of Cryptography Conference, 2006 We continue a line of research initiated in [10, 11] on privacy-preserving statistical databases. Consider a trusted server that holds a database of sensitive information.
C. Dwork +3 more
semanticscholar +1 more source
Factor analysis with finite data
, 2017 Factor analysis aims to describe high dimensional random vectors by means of a small number of unknown common factors. In mathematical terms, it is required to decompose the covariance matrix $\Sigma$ of the random vector as the sum of a diagonal matrix $
Ciccone, Valentina +2 more
core +1 more source