Articles with "data sampling" as a keyword



Conceptual data sampling for breast cancer histology image classification

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Published in 2017 at "Computers in biology and medicine"

DOI: 10.1016/j.compbiomed.2017.07.018

Abstract: Data analytics have become increasingly complicated as the amount of data has increased. One technique that is used to enable data analytics in large datasets is data sampling, in which a portion of the data… read more here.

Keywords: technique; data sampling; cancer histology; breast cancer ... See more keywords

Mixed data sampling expectile regression with applications to measuring financial risk

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Published in 2020 at "Economic Modelling"

DOI: 10.1016/j.econmod.2020.06.018

Abstract: Abstract To avoid information loss or measurement error in traditional methods dealing with mixed frequency data, we develop a novel mixed data sampling expectile regression (MIDAS-ER) model to measure financial risk. We construct the MIDAS-ER… read more here.

Keywords: data sampling; risk; mixed data; expectile regression ... See more keywords

High-dimensional mixed data sampling models with a covariate-dependent threshold

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Published in 2025 at "Econometric Reviews"

DOI: 10.1080/07474938.2025.2481471

Abstract: Abstract. This article introduces high-dimensional mixed data sampling models with a covariate-dependent threshold, which allows for a threshold effect in the relationship between dependent and independent variables sampled at different frequencies and allows for threshold… read more here.

Keywords: mixed data; data sampling; dimensional mixed; high dimensional ... See more keywords

Benchmarks in antimicrobial peptide prediction are biased due to the selection of negative data

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Published in 2022 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbac343

Abstract: Abstract Antimicrobial peptides (AMPs) are a heterogeneous group of short polypeptides that target not only microorganisms but also viruses and cancer cells. Due to their lower selection for resistance compared with traditional antibiotics, AMPs have… read more here.

Keywords: amp prediction; prediction; model; data sampling ... See more keywords
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Agreement between continuous noninvasive finger cuff-derived and invasive arterial blood pressure measurements: Effect of data sampling and data processing

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Published in 2021 at "European Journal of Anaesthesiology"

DOI: 10.1097/eja.0000000000001469

Abstract: Supplemental Digital Content is available in the text BACKGROUND The effect of different methods for data sampling and data processing on the results of comparative statistical analyses in method comparison studies of continuous arterial blood… read more here.

Keywords: data sampling; agreement; sampling data; effect ... See more keywords
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X-ray data reconstruction from incomplete data sampling

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Published in 2025 at "Journal of Applied Crystallography"

DOI: 10.1107/s1600576725010003

Abstract: A reconstruction procedure for patterns with incomplete information is reported. It is based on a modified Papoulis–Gerchberg algorithm. The modifications were introduced to guide the reconstruction procedure. The reconstruction algorithm could prove useful in specific… read more here.

Keywords: incomplete data; data reconstruction; data sampling; reconstruction ... See more keywords

Dual-Conditional Diffusion Model for Seismic Data Reconstruction: Integrating Observed Data and Sampling Matrix Constraints

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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3603101

Abstract: Seismic exploration relies heavily on high-quality data acquisition, but practical limitations often result in incomplete seismic data, violating the Nyquist sampling theorem and introducing aliasing. The completeness and accuracy of data directly influence the effectiveness… read more here.

Keywords: observed data; data sampling; reconstruction; dual conditional ... See more keywords
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Event-Triggered Consensus of General Linear Multiagent Systems With Data Sampling and Random Packet Losses

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Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2019.2896772

Abstract: This paper investigates the event-triggered consensus of linear multiagent systems with periodic data sampling mechanisms, where random packet losses are taken into account. The random packet losses occur in communication links based on a certain… read more here.

Keywords: event triggered; consensus; data sampling; packet losses ... See more keywords

Data Sampling in Multi-view and Multi-class Scatterplots via Set Cover Optimization

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Published in 2020 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2019.2934799

Abstract: We present a method for data sampling in scatterplots by jointly optimizing point selection for different views or classes. Our method uses space-filling curves (Z-order curves) that partition a point set into subsets that, when… read more here.

Keywords: data sampling; point set; class; point ... See more keywords

Ecosphere Management Model of Farmer Cooperatives Based on Intelligent Data Sampling Technology

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Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/1549275

Abstract: In order to improve the operation effect of farmer cooperatives, this paper combines the intelligent data sampling technology to analyze the ecological circle operation mode of farmer cooperatives. Moreover, this paper strives to promote the… read more here.

Keywords: data sampling; intelligent data; farmer cooperatives; sampling technology ... See more keywords

Photoacoustic maximum amplitude projection microscopy by ultra-low data sampling.

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Published in 2023 at "Optics letters"

DOI: 10.1364/ol.485628

Abstract: Photoacoustic microscopy (PAM) has attracted increasing research interest in the biomedical field due to its unique merit of combining light and sound. In general, the bandwidth of a photoacoustic signal reaches up to tens or… read more here.

Keywords: ultra low; photoacoustic maximum; microscopy; maximum amplitude ... See more keywords