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Published in 2022 at "Small"
DOI: 10.1002/smll.202204858
Abstract: Programmable chiral biocatalysis represents a promising therapeutic strategy for its high stereospecific control over various biotransformations (e.g., chiral Aβ isomerization) of living entities yet is rarely explored. With an extraordinary resistance to nuclease digestion, the…
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Keywords:
functional zeolitic;
based therapy;
imidazolate framework;
therapy ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3153723
Abstract: Out-of-distribution (OOD) detection, i.e., identifying whether a given test sample is drawn from outside the training distribution, is essential for a deep classifier to be deployed in a real-world application. The existing state-of-the-art methods of…
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Keywords:
ood detection;
simple framework;
framework robust;
distribution ... See more keywords
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Published in 2018 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2016.2623900
Abstract: The AdaBoost algorithm is a popular ensemble method that combines several weak learners to boost generalization performance. However, conventional AdaBoost.RT algorithms suffer from the limitation that the threshold value must be manually specified rather than…
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Keywords:
robust threshold;
adaboost;
framework robust;
structural optimization ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3195298
Abstract: Clustering noisy, high-dimensional, and structurally complex data have always been a challenging task. As most existing clustering methods are not able to deal with both the adverse impact of noisy samples and the complex structures…
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Keywords:
sparse framework;
possibilistic subspace;
robust possibilistic;
subspace ... See more keywords