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   Articles with "effect data" as a keyword



The effect of data complexity on classifier performance

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recommendations! Published in 2024 at "Empirical Software Engineering"

DOI: 10.1007/s10664-024-10554-5

Abstract: The research area of Software Defect Prediction (SDP) is both extensive and popular, and is often treated as a classification problem. Improvements in classification, pre-processing and tuning techniques, (together with many factors which can influence… read more here.

Keywords: classifier performance; complexity classifier; effect data; performance ... See more keywords

Further development of the database of the Mössbauer Effect Data Center

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recommendations! Published in 2020 at "Hyperfine Interactions"

DOI: 10.1007/s10751-019-1660-1

Abstract: The Mössbauer spectroscopy database compiled and maintained by the Mössbauer Effect Data Center (MEDC) is a unique, wide-scope Mössbauer-spectroscopy related information resource, which forms the basis of information services provided by the Mössbauer Effect Data… read more here.

Keywords: effect data; database; ssbauer effect; spectroscopy ... See more keywords
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Data-driven modelling of ship propulsion and the effect of data pre-processing on the prediction of ship fuel consumption and speed loss

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recommendations! Published in 2021 at "Ocean Engineering"

DOI: 10.1016/j.oceaneng.2021.108616

Abstract: Abstract Data-driven models for ship propulsion are presented while the effect of data pre-processing techniques is extensively examined. In this study, a large, automatically collected with high sampling frequency data set is exploited for training… read more here.

Keywords: pre; pre processing; effect data; data driven ... See more keywords

Effect of data uncertainty and inversion non-uniqueness of surface wave tests on VS,30 estimation

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recommendations! Published in 2018 at "Soil Dynamics and Earthquake Engineering"

DOI: 10.1016/j.soildyn.2018.02.030

Abstract: Abstract The effect of data measurement uncertainty and inversion uncertainty on VS,30 estimation is studied in this article. An attempt has also been made to separate out the inversion and data measurement uncertainties, and their… read more here.

Keywords: data uncertainty; inversion; effect data; uncertainty ... See more keywords

The effect of data resampling methods in radiomics

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-53491-5

Abstract: Radiomic datasets can be class-imbalanced, for instance, when the prevalence of diseases varies notably, meaning that the number of positive samples is much smaller than that of negative samples. In these cases, the majority class… read more here.

Keywords: selected features; data resampling; resampling methods; effect data ... See more keywords
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Effect of data gaps on the detectability and parameter estimation of massive black hole binaries with LISA

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recommendations! Published in 2021 at "Physical Review D"

DOI: 10.1103/physrevd.104.044035

Abstract: Kallol Dey, Nikolaos Karnesis, 3 Alexandre Toubiana, Enrico Barausse, 5 Natalia Korsakova, 7 Quentin Baghi, and Soumen Basak School of Physics, Indian Institute of Science Education and Research Thiruvananthapuram, Maruthamala PO, Vithura, Thiruvananthapuram 695551, Kerala,… read more here.

Keywords: physics; data gaps; effect data; trieste italy ... See more keywords

The effect of data sources on the measurement of open access: A comparison of Dimensions and the Web of Science

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recommendations! Published in 2022 at "PLoS ONE"

DOI: 10.1371/journal.pone.0265545

Abstract: With the growing number of open access (OA) mandates, the accurate measurement of OA publishing is an important policy issue. Existing studies have provided estimates of the prevalence of OA publications ranging from 27.9% to… read more here.

Keywords: effect data; open access; web science; data sources ... See more keywords

The Effect of Data Augmentation in Deep Learning Approach for Peripheral Blood Leukocyte Recognition

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recommendations! Published in 2022 at "Studies in health technology and informatics"

DOI: 10.3233/shti220077

Abstract: Data augmentation is reported as a useful technique to generate a large amount of image datasets from a small image dataset. The aim of this study is to clarify the effect of data augmentation for… read more here.

Keywords: effect data; data augmentation; leukocyte recognition; augmentation ... See more keywords