MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning
<|reference_start|>MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning: MIML library is a Java software tool to develop, test, and compare classification algorithms for multi-instance multi-label (MIML) learning. The library includes 43 algorithms and provides a specific format and facilities for data managing and partitioning, holdout and cross-validation methods, standard metrics for performance evaluation, and generation of reports. In addition, algorithms can be executed through $xml$ configuration files without needing to program. It is platform-independent, extensible, free, open-source, and available on GitHub under the GNU General Public License.<|reference_end|>
@article{belmonte2024miml,
    title={MIML library: a Modular and Flexible Library for Multi-instance
  Multi-label Learning},
    author={'Alvaro Belmonte and Amelia Zafra and Eva Gibaja},
    journal={arXiv preprint arXiv:2402.08056},
    year={2024},
    doi={10.1016/j.neucom.2022.05.068},
    archivePrefix={arXiv},
    eprint={2402.08056},
    primaryClass={cs.LG}
}