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Published in 2017 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.6b00709
Abstract: Suggesting novel compounds to be made on the basis of similarity to a previously seen structure-activity relationship (SAR) requires a measure for SAR similarity. While SAR similarity has intuitively been used by medicinal chemists for…
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Keywords:
molecular series;
similarity;
similarity metrics;
matched molecular ... See more keywords
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Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2143505
Abstract: Abstract Measuring similarity is essential for classifying, clustering, retrieving, and matching linear features in geospatial data. However, the complexity of linear features challenges the formalization of characteristics and determination of the weight of each characteristic…
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Keywords:
neural network;
linear features;
similarity;
siamese neural ... See more keywords
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Published in 2018 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2018.2831214
Abstract: Database access logs are the starting point for many forms of database administration, from database performance tuning, to security auditing, to benchmark design, and many more. Unfortunately, query logs are also large and unwieldy, and…
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Keywords:
similarity;
metrics sql;
query clustering;
similarity metrics ... See more keywords
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Published in 2023 at "Optics letters"
DOI: 10.1364/ol.483709
Abstract: Mode decomposition refers to a set of techniques aimed to recover modal content in multimode optical fibers. In this Letter, we examine the appropriateness of the similarity metrics commonly used in experiments on mode decomposition…
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Keywords:
mode decomposition;
optical fibers;
decomposition;
similarity metrics ... See more keywords