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2. Improving convolutional neural networks performance for image classification using test time augmentationIbrahem Kandel, Mauro Castelli, 2021, original scientific article Keywords: image classification, convolutional neural networks, transfer learning, test time 29 augmentation, deep learning, ensemble learning Full text (file, 1,82 MB) This document has more files! More... |
3. Comparing stacking ensemble techniques to improve musculoskeletal fracture image classificationIbrahem Kandel, Mauro Castelli, Aleš Popovič, 2021, original scientific article Keywords: neuroscience, deep learning, image classification, stacking, ensemble learning, convolutional neural networks, transfer learning, medical images Full text (file, 1,12 MB) This document has more files! More... |
4. It is never too late to learnJana Žnidaršič, Mojca Kogovšek, Metka Kogovšek, Irena Ograjenšek, 2021, original scientific article Keywords: workforce aging, older employees, motivation for learning, age management Full text (file, 515,38 KB) This document has more files! More... |
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6. Attribute interactions in machine learningAleks Jakulin, 2002, master's thesis Keywords: machine learning, data mining, classification, pattern recognition, interaction, dependence, independence, constructive induction, feature construction Full text (outside link) |
7. Sintaksna analiza in indukcija grafnih gramatikLuka Fürst, 2013, doctoral dissertation Keywords: graph grammar, parsing, parser, induction, machine learning, domain-specific modeling, metamodel, doctoral dissertations, theses Full text (outside link) |
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9. Spruce bark beetles (Ips typographus, Pityogenes chalcographus, Col.: Scolytidae) in the Dinaric mountain forests of SloveniaMaja Jurc, Marko Perko, Sašo Džeroski, Damjan Demšar, Boris Hrašovec, 2006, published scientific conference contribution Keywords: žuželke, navadna jelka, Slovenija, monitoring, Spruce bark beetles, Ips typographus, Pityogenes chalcographus, Norwey spruce, monitoring, phenology, catastrophic weather conditons, position, linear regression, machine learning, model trees Full text (outside link) |
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