Research Papers

  • Torpong Nitayanont, Cheng Lu and Dorit S. Hochbaum. Path of Solutions for Fused Lasso Problems. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods – ICPRAM; ISBN 978-989-758-684-2; ISSN 2184-4313, SciTePress, pages 107-118. DOI: 10.5220/0012433200003654 Feb 2024.
  • Achá, Roberto Javier Asín, Olivier Goldschmidt, Dorit S. Hochbaum and Isaías I. Huerta. Fast Algorithms for the Capacitated Vehicle Routing Problem using Machine Learning Selection of Algorithm’s Parameters. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management – Volume 1: KDIR, ISBN 978-989-758-614-9, ISSN 2184-3228, pages 29-39. doi: 10.5220/0011405400003335
  • J. Bodine and D. S. Hochbaum A Better Decision Tree: The Max.Cut Decision Tree with Modified PCA Improves Accuracy and Running Time. Springer Nature Computer Science (2022) 3:313, https://doi.org/10.1007/s42979-022-01147-4
  • Diego Henriquez, Roberto Asin-Acha, Julio Godoy, Dorit Hochbaum.  Automatic Algorithm Selection for the Binary Classification Problem.   (2024). Submitted.
  • Pezo, Catalina, Dorit Hochbaum, Julio Godoy, and Roberto Asin-Acha. “Automatic Algorithm Selection for Pseudo-Boolean Optimization with Given Computational Time Limits.” arXiv preprint arXiv:2309.03924 (2023). Submitted.
  • Philipp Baumann and Dorit S. Hochbaum. PCCC: The Pairwise-Confidence-Constraints-Clustering Algorithm Dec 2022. https://doi.org/10.48550/arXiv.2212.14437. Submitted.
  • Philipp Baumann and Dorit S. Hochbaum. A k-Means Algorithm for Clustering with Soft Must-link and Cannot-link Constraints. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods – ICPRAM, ISBN 978-989-758-549-4, pages 195-202. (2022). DOI: 10.5220/0010800000003122