Results 21 to 30 of about 10,630,553 (293)
, 2023 Small-scale dataset comparative analysis using classification accuracy for population sizes 50 and 100.
Olaide N. Oyelade (14047002) +2 more
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Small-scale dataset comparative analysis using the number of features selected.
, 2023 Small-scale dataset comparative analysis using the number of features selected.
Olaide N. Oyelade (14047002) +2 more
core +1 more source
Image Classification With Small Datasets: Overview and Benchmark
IEEE Access, 2022 Image classification with small datasets has been an active research area in the recent past. However, as research in this scope is still in its infancy, two key ingredients are missing for ensuring reliable and truthful progress: a systematic and extensive overview of the state of the art, and a common benchmark to allow for objective comparisons ...
Lorenzo Brigato +3 more
openaire +4 more sources
IDSM ChemWebRDF: SPARQLing small-molecule datasets [PDF]
Journal of Cheminformatics, 2021 AbstractThe Resource Description Framework (RDF), together with well-defined ontologies, significantly increases data interoperability and usability. The SPARQL query language was introduced to retrieve requested RDF data and to explore links between them.
Jakub Galgonek, Jirí Vondrásek
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, 2023 Small-scale dataset comparative analysis using fitness and cost values for population sizes 50 and 100.
Olaide N. Oyelade (14047002) +2 more
core +1 more source
Swin MAE: Masked autoencoders for small datasets
Computers in Biology and Medicine, 2023 The development of deep learning models in medical image analysis is majorly limited by the lack of large-sized and well-annotated datasets. Unsupervised learning does not require labels and is more suitable for solving medical image analysis problems. However, most of the current unsupervised learning methods need to be applied to large datasets.
Zi'an Xu +7 more
openaire +4 more sources
, 2023 Small TKSM dataset with refs.Reads are subsampled from MCF7 cell line (direct RNA, replicate 1, run 2) of https://registry.opendata.aws/sgnex/
Baraa Orabi (12507379)
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METRICS IN SMALL-SIZED QURAN DATASET FOR BENFORD’S LAW [PDF]
Matrix Science Mathematic, 2021 Benford’s law is widely applied in testing anomalies in various dataset, including accounting fraud detection and population numbers. It is a statistical regularity, which is said that it works better with larger datasets that span large orders of ...
M. Z. A. M. Jaffar +2 more
doaj +1 more source
National Transfusion Dataset (NTD)
, 2023 The National Transfusion Dataset (NTD) is a collection of transfusion episode data incorporating transfusion, laboratory and hospital data from hospitals and health services, as well as prehospital transfusion data from ambulance and retrieval services ...
National Transfusion Dataset (12863675)
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Frontiers in Microbiology, 2022 In recent years, deep learning has made brilliant achievements in Environmental Microorganism (EM) image classification. However, image classification of small EM datasets has still not obtained good research results. Therefore, researchers need to spend
Peng Zhao +7 more
doaj +1 more source