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Gottschalk, Hanno
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1

Optimal control of thermal and mechanical loads in activati..:

Friedlich, Nicolai ; Gottschalk, Hanno ; Vossen, Georg
Applied Mathematics in Science and Engineering.  32 (2024)  1 - p. , 2024
Link: https://doi.org/10.1080/..
 
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2

Improving prediction accuracy using dynamic information:

Böken, Björn , 2023
Link: https://nbn-resolving.de..
 
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3

Detection of Iterative Adversarial Attacks via Counter Atta..:

Rottmann, Matthias ; Maag, Kira ; Peyron, Mathis..
Journal of Optimization Theory and Applications.  198 (2023)  3 - p. 892-929 , 2023
Link: https://doi.org/10.1007/..
 
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4

Risk Stratification of Malignant Melanoma Using Neural Netw..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2023; Lecture Notes in Computer Science,
Burghoff, Julian ; Ackermann, Leonhard ; Salahdine, Younes... - p. 153-164 , 2023
Link: https://doi.org/10.1007/..
 
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5

survAIval: Survival Analysis with the Eyes of AI:

, In: Communications in Computer and Information Science; Computer-Human Interaction Research and Applications,
Kowol, Kamil ; Bracke, Stefan ; Gottschalk, Hanno - p. 153-170 , 2023
Link: https://doi.org/10.1007/..
 
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6

Two Video Data Sets for Tracking and Retrieval of Out of Di..:

, In: Computer Vision – ACCV 2022; Lecture Notes in Computer Science,
Maag, Kira ; Chan, Robin ; Uhlemeyer, Svenja.. - p. 476-494 , 2023
Link: https://doi.org/10.1007/..
 
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7

Augmentation-based Domain Generalization for Semantic Segme..:

, In: 2023 IEEE Intelligent Vehicles Symposium (IV),
Schwonberg, Manuel ; Bouazati, Fadoua El ; Schmidt, Nico M.. - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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8

Gradient-Based Quantification of Epistemic Uncertainty for ..:

, In: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
Riedlinger, Tobias ; Rottmann, Matthias ; Schubert, Marius. - p. 3910-3920 , 2023
Link: https://doi.org/10.1109/..
 
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9

Cosmological de Sitter Solutions of the Semiclassical Einst..:

Gottschalk, Hanno ; Rothe, Nicolai R. ; Siemssen, Daniel
Annales Henri Poincaré.  24 (2023)  9 - p. 2949-3029 , 2023
Link: https://doi.org/10.1007/..
 
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10

What should AI see? Using the public's opinion to determine..:

Chan, Robin ; Dardashti, Radin ; Osinski, Meike...
AI and Ethics.  3 (2023)  4 - p. 1381-1405 , 2023
Link: https://doi.org/10.1007/..
 
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11

Spatial ocean wave height prediction with CNN mixed-data de..:

Jörges, Christoph ; Berkenbrink, Cordula ; Gottschalk, Hanno.
Ocean Engineering.  271 (2023)  - p. 113699 , 2023
Link: https://doi.org/10.1016/..
 
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12

LU-Net: Invertible Neural Networks Based on Matrix Factoriz..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Chan, Robin ; Penquitt, Sarina ; Gottschalk, Hanno - p. 1-10 , 2023
Link: https://doi.org/10.1109/..
 
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13

Temporal Performance Prediction for Deep Convolutional Long..:

, In: Advanced Analytics and Learning on Temporal Data; Lecture Notes in Computer Science,
Fieback, Laura ; Dash, Bidya ; Spiegelberg, Jakob. - p. 145-158 , 2023
Link: https://doi.org/10.1007/..
 
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14

Survey on Unsupervised Domain Adaptation for Semantic Segme..:

Schwonberg, Manuel ; Niemeijer, Joshua ; Termöhlen, Jan-Aike...
IEEE Access.  11 (2023)  - p. 54296-54336 , 2023
Link: https://doi.org/10.1109/..
 
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15

Who Breaks Early, Looses: Goal Oriented Training of Deep Ne..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2023; Lecture Notes in Computer Science,
Burghoff, Julian ; Monells, Marc Heinrich ; Gottschalk, Hanno - p. 454-465 , 2023
Link: https://doi.org/10.1007/..
 
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