Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art
S. Peitz, S.S. Hotegni, Machine Learning with Applications (2025).
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Machine Learning with Applications
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100700
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Peitz S, Hotegni SS. Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art. Machine Learning with Applications. 2025;(100700). doi:10.1016/j.mlwa.2025.100700
Peitz, S., & Hotegni, S. S. (2025). Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art. Machine Learning with Applications, 100700. https://doi.org/10.1016/j.mlwa.2025.100700
@article{Peitz_Hotegni_2025, title={Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art}, DOI={10.1016/j.mlwa.2025.100700}, number={100700}, journal={Machine Learning with Applications}, author={Peitz, Sebastian and Hotegni, Sedjro Salomon}, year={2025} }
Peitz, Sebastian, and Sedjro Salomon Hotegni. “Multi-Objective Deep Learning: Taxonomy and Survey of the State of the Art.” Machine Learning with Applications, no. 100700 (2025). https://doi.org/10.1016/j.mlwa.2025.100700.
S. Peitz and S. S. Hotegni, “Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art,” Machine Learning with Applications, no. 100700, 2025, doi: 10.1016/j.mlwa.2025.100700.
Peitz, Sebastian, and Sedjro Salomon Hotegni. “Multi-Objective Deep Learning: Taxonomy and Survey of the State of the Art.” Machine Learning with Applications, no. 100700, 2025, doi:10.1016/j.mlwa.2025.100700.
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