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51
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Enthalten in BMC bioinformatics Bd. 6, 22.6.2005, Nr. 1, date:12.2005: 1-12
52
Development and experimental test of support vector machines virtual screening method for searching Src inhibitors from large compound libraries
Enthalten in Chemistry central journal Bd. 6, 23.11.2012, Nr. 1, date:12.2012: 1-14
53
Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines
Enthalten in BMC medical informatics and decision making Bd. 17, 14.8.2017, Nr. 1, date:12.2017: 1-11
54
Ensemble and optimization algorithm in support vector machines for classification of wheat genotypes
Enthalten in Scientific reports Bd. 14, 30.9.2024, Nr. 1, date:12.2024: 1-19
55
eRFSVM: a hybrid classifier to predict enhancers-integrating random forests with support vector machines
Enthalten in Hereditas Bd. 153, 30.6.2016, Nr. 1, date:12.2016: 1-11
56
Estimating biophysical parameters of rice with remote sensing data using support vector machines
Enthalten in Science China / Life sciences Bd. 54, 16.3.2011, Nr. 3, date:3.2011: 272-281
57
Facial expression recognition using three-stage support vector machines
Enthalten in Visual computing for industry, biomedicine, and art Bd. 2, 16.12.2019, Nr. 1, date:12.2019: 1-9
58
Fluorescence Guided Raman Spectroscopy enables the training of robust support vector machines for the detection of tumour marker proteins
Enthalten in Scientific reports Bd. 15, 3.7.2025, Nr. 1, date:12.2025: 1-14
59
Harnessing the evolutionary information on oxygen binding proteins through Support Vector Machines based modules
Enthalten in Biomed Central (London): BMC Research Notes Bd. 11, 11.5.2018, Nr. 1, date:12.2018: 1-8
60
Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems
Enthalten in Plant methods Bd. 14, 3.10.2018, Nr. 1, date:12.2018: 1-13
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