Artifacts using FlatLaf Add-on For JIDE Common Layer (9)

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jBiDiB BiDiB Wizard Client Common POM

The MEKA project provides an open source implementation of methods for multi-label classification and evaluation. It is based on the WEKA Machine Learning Toolkit. Several benchmark methods are also included, as well as the pruned sets and classifier chains methods, other methods from the scientific literature, and a wrapper to the MULAN framework.

The ImageJ framework for quantitative neuroanatomy

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jBiDiB BiDiB Wizard Nodes Client POM

jBiDiB BiDiB Wizard DCC-A client POM

jBiDiB BiDiB Wizard Tracer Client POM

jBiDiB BiDiB Wizard Firmware Client POM

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