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Published in 2019 at "Hydrobiologia"
DOI: 10.1007/s10750-019-04009-y
Abstract: Spatial synchrony occurs when the temporal dynamics of local populations are correlated. Correlated environmental variations (Moran effect), dispersal, and trophic interactions are theoretically the main mechanisms underlying population synchrony. We estimated spatial synchrony for total…
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Keywords:
spatial synchrony;
type data;
potential mechanisms;
synchrony ... See more keywords
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Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2021.3118418
Abstract: Predicting the future risk of cardiovascular diseases from the historical Electronic Health Records (EHRs) is a significant research task in personalized healthcare fields. In recent years, many deep neural network-based methods have emerged, which model…
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Keywords:
representation;
data fusion;
time;
time aware ... See more keywords
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Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2021.3124546
Abstract: In this article, we analyze the inherent characteristic of smart grid systems, where we observe that a smart meter always generates different types of electricity consumption data for one user, and a control center (CC)…
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Keywords:
privacy preserving;
verifiable privacy;
type data;
multi type ... See more keywords
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Published in 2023 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802221142528
Abstract: A useful tool that has gained popularity in the Quality Control area is the control chart which monitors a process over time, identifies potential changes, understands variations, and eventually improves the quality and performance of…
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Keywords:
mixed type;
control;
multivariate semiparametric;
type data ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0272413
Abstract: Appropriate inspection protocols and mitigation strategies are a critical component of effective biosecurity measures, enabling implementation of sound management decisions. Statistical models to analyze biosecurity surveillance data are integral to this decision-making process. Our research…
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Keywords:
use mixed;
data clustering;
mixed type;
type data ... See more keywords
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Published in 2020 at "Entropy"
DOI: 10.3390/e22121391
Abstract: The most common machine-learning methods solve supervised and unsupervised problems based on datasets where the problem’s features belong to a numerical space. However, many problems often include data where numerical and categorical data coexist, which…
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Keywords:
type data;
machine learning;
mixed type;
proposal ... See more keywords