@inproceedings{1912,
  author       = {Schöne, Marvin and Kohlhase, Martin},
  booktitle    = {2021 IEEE Symposium Series on Computational Intelligence (SSCI)},
  keywords     = {local linear regression, multivariate model trees, regression trees, axis-oblique splitting, outer product of gradients},
  location     = {Orlando, FL, USA},
  pages        = {01--09},
  publisher    = {IEEE},
  title        = {{Curvature-Oriented Splitting for Multivariate Model Trees}},
  doi          = {10.1109/SSCI50451.2021.9659858},
  year         = {2021},
}

@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},
}