On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification
S. Klüttermann, J. Rutinowski, F. Polachowski, A. Nguyen, B. Grimme, M. Roidl, E. Müller, in: 2024 International Conference on Machine Learning and Applications (ICMLA), 2024, pp. 1705–1711.
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Author
Klüttermann, Simon;
Rutinowski, Jérôme;
Polachowski, Frederik;
Nguyen, Anh;
Grimme, Britta;
Roidl, Moritz;
Müller, Emmanuel
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2024 International Conference on Machine Learning and Applications (ICMLA)
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1705–1711
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Klüttermann S, Rutinowski J, Polachowski F, et al. On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification. In: 2024 International Conference on Machine Learning and Applications (ICMLA). ; 2024:1705–1711.
Klüttermann, S., Rutinowski, J., Polachowski, F., Nguyen, A., Grimme, B., Roidl, M., & Müller, E. (2024). On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification. 2024 International Conference on Machine Learning and Applications (ICMLA), 1705–1711.
@inproceedings{Klüttermann_Rutinowski_Polachowski_Nguyen_Grimme_Roidl_Müller_2024, title={On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification}, booktitle={2024 International Conference on Machine Learning and Applications (ICMLA)}, author={Klüttermann, Simon and Rutinowski, Jérôme and Polachowski, Frederik and Nguyen, Anh and Grimme, Britta and Roidl, Moritz and Müller, Emmanuel}, year={2024}, pages={1705–1711} }
Klüttermann, Simon, Jérôme Rutinowski, Frederik Polachowski, Anh Nguyen, Britta Grimme, Moritz Roidl, and Emmanuel Müller. “On the Effectiveness of Heterogeneous Ensemble Methods for Re-Identification.” In 2024 International Conference on Machine Learning and Applications (ICMLA), 1705–1711, 2024.
S. Klüttermann et al., “On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification,” in 2024 International Conference on Machine Learning and Applications (ICMLA), 2024, pp. 1705–1711.
Klüttermann, Simon, et al. “On the Effectiveness of Heterogeneous Ensemble Methods for Re-Identification.” 2024 International Conference on Machine Learning and Applications (ICMLA), 2024, pp. 1705–1711.
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