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[3]
2026 | Conference Paper | LibreCat-ID: 67308
Amakor AC, Berkemeier MB, Wohlleben MC, Sextro W, Peitz S. Surrogate-Assisted Multi-objective Design of Complex Multibody Systems. In: Senn W, Sanguineti M, Saudargiene A, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2025. Springer Nature Switzerland; 2026:251–262. doi:10.1007/978-3-032-04555-3_21
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[2]
2026 | Conference Paper | LibreCat-ID: 67303 | OA
Amakor AC, Sonntag K, Peitz S. Interactive Pareto navigation for deep multi-task learning. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD). ; 2026:652-668. doi:10.1007/978-3-032-37667-1_37
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[1]
2025 | Journal Article | LibreCat-ID: 51159
Amakor AC, Sonntag K, Peitz S. A multiobjective continuation method to compute the regularization path of deep neural networks. Machine Learning with Applications. 2025;19. doi:10.1016/j.mlwa.2025.100625
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3 Publications

Mark all

[3]
2026 | Conference Paper | LibreCat-ID: 67308
Amakor AC, Berkemeier MB, Wohlleben MC, Sextro W, Peitz S. Surrogate-Assisted Multi-objective Design of Complex Multibody Systems. In: Senn W, Sanguineti M, Saudargiene A, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2025. Springer Nature Switzerland; 2026:251–262. doi:10.1007/978-3-032-04555-3_21
LibreCat | DOI
 
[2]
2026 | Conference Paper | LibreCat-ID: 67303 | OA
Amakor AC, Sonntag K, Peitz S. Interactive Pareto navigation for deep multi-task learning. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD). ; 2026:652-668. doi:10.1007/978-3-032-37667-1_37
LibreCat | DOI | Download (ext.)
 
[1]
2025 | Journal Article | LibreCat-ID: 51159
Amakor AC, Sonntag K, Peitz S. A multiobjective continuation method to compute the regularization path of deep neural networks. Machine Learning with Applications. 2025;19. doi:10.1016/j.mlwa.2025.100625
LibreCat | Files available | DOI
 

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Citation Style: AMA

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