Augustina Chidinma Amakor

Ehemalige

Mitglied - Ehemalige
Büro­anschrift:
Pohlweg 51
33098 Paderborn
Raum:
O3.131
Scientific Machine Learning (Peitz)
Ehemalige

Publikationen

Aktuelle Publikationen

Surrogate-Assisted Multi-objective Design of Complex Multibody Systems

A.C. Amakor, M.B. Berkemeier, M.C. Wohlleben, W. Sextro, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 251–262.


Interactive Pareto navigation for deep multi-task learning

A.C. Amakor, K. Sonntag, S. Peitz, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–668.


A multiobjective continuation method to compute the regularization path of deep neural networks

A.C. Amakor, K. Sonntag, S. Peitz, Machine Learning with Applications 19 (2025).


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