# A Visual Mining Approach to Improved Multiple-Instance Learning
## 4 Visual Multiple-Instance Learning
### Creating a Multiple-Instance Tree (MILTree)
All authors have read and agreed to the published version of the manuscript. This research was funded by FAPESP grant 2013/25055-2 and CNPq grant 134238/2013-3. [PERSON] was funded in part by FAPESP (grant #2019/07316-0) and the CNPq fellowship 304266/2020-5. [PERSON] was funded in part by the CNPq fellowship 307411/2016-8. The source code, data and/or other artifacts have been made available at [[https://github.com/soniacq/MILTree](https://github.com/soniacq/MILTree)]([https://github.com/soniacq/MILTree](https://github.com/soniacq/MILTree)). The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. ## References

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