@inproceedings{6049,
  author       = {Schöne, Marvin and Jaster, Bjarne and Bültemeier, Julian and Kösters, Justus and Holst, Christoph-Alexander and Kohlhase, Martin},
  booktitle    = {2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)},
  keywords     = {Interpretability, Classification, Pool-based Active Learning, Decision Trees},
  location     = {Trondheim, Norway},
  pages        = {1--9},
  publisher    = {IEEE},
  title        = {{Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit}},
  doi          = {10.57720/6049},
  year         = {2025},
}

@inproceedings{5904,
  author       = {Schöne, Marvin and Jaster, Bjarne and Bültemeier, Julian and Kösters, Justus and Holst, Christoph-Alexander and Kohlhase, Martin},
  booktitle    = {2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)},
  keywords     = {Interpretability, Classification, Pool-based Active Learning, Decision Trees},
  location     = {Trondheim, Norway},
  pages        = {1--9},
  publisher    = {IEEE},
  title        = {{Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit}},
  doi          = {10.1109/CITREx64975.2025.10974940},
  year         = {2025},
}

@inproceedings{1916,
  author       = {Schöne, Marvin and Kohlhase, Martin},
  booktitle    = {Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I},
  editor       = {Analide, Cesar and Novais, Paulo and Camacho, David and Yin, Hujun},
  isbn         = {978-3-030-62361-6},
  issn         = {1611-3349},
  keywords     = {Industry 4.0, Interpretability, Curse of dimensionality, Oblique Regression Trees, Mixed Regression Trees, CART},
  location     = {Guimaraes, Portugal},
  pages        = {41--50},
  publisher    = {Springer International Publishing},
  title        = {{Least Squares Approach for Multivariate Split Selection in Regression Trees}},
  doi          = {10.1007/978-3-030-62362-3_5},
  year         = {2020},
}

