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Showing results 7 to 18 of 18
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Issue Date
Title
Involved Person(s)
11-Jan-2023
certAInty : a certification scheme for AI systems (Innosuisse project)
Weng, Joanna
;
Reif, Monika
;
Chavarriaga, Ricardo
;
Schilling, Frank-Peter
15-May-2019
Deep Learning in medizinischer Diagnostik und Qualitätskontrolle
Stadelmann, Thilo
;
Schilling, Frank-Peter
11-Jan-2023
Deep learning the SKA : the Square Kilometer Array project
Denzel, Philipp Benedikt
;
Schilling, Frank-Peter
;
Gavagnin, Elena
9-Jun-2022
Deep learning-based simultaneous multi-phase deformable image registration of sparse 4D-CBCT
Herzig, Ivo
;
Paysan, Pascal
;
Scheib, Stefan
;
Züst, Alexander
;
Schilling, Frank-Peter
, et al
6-Nov-2020
Design patterns for resource-constrained automated deep-learning methods
Tuggener, Lukas
;
Amirian, Mohammadreza
;
Benites de Azevedo e Souza, Fernando
;
von Däniken, Pius
;
Gupta, Prakhar
, et al
2019
Efficient deep CNNs for cross-modal automated computer vision under time and space constraints
Amirian, Mohammadreza
;
Rombach, Katharina
;
Tuggener, Lukas
;
Schilling, Frank-Peter
;
Stadelmann, Thilo
13-May-2022
Foundations of Data Science : a comprehensive overview formed at the 1st International Symposium on the Science of Data Science
Schilling, Frank-Peter
;
Flumini, Dandolo
;
Füchslin, Rudolf Marcel
;
Gavagnin, Elena
;
Geller, Armando
, et al
30-Oct-2023
Map-to-map translation for SKA mock observations and cosmological simulations
Denzel, Philipp
;
Schilling, Frank-Peter
;
Gavagnin, Elena
30-Mar-2023
Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networks
Amirian, Mohammadreza
;
Montoya-Zegarra, Javier A.
;
Herzig, Ivo
;
Eggenberger Hotz, Peter
;
Lichtensteiger, Lukas
, et al
31-May-2024
MLOps as enabler of trustworthy AI
Billeter, Yann
;
Denzel, Philipp
;
Chavarriaga, Ricardo
;
Forster, Oliver
;
Schilling, Frank-Peter
, et al
31-May-2024
Towards the certification of AI-based systems
Denzel, Philipp
;
Brunner, Stefan
;
Billeter, Yann
;
Forster, Oliver
;
Frischknecht-Gruber, Carmen
, et al
Mar-2021
Two to trust : AutoML for safe modelling and interpretable deep learning for robustness
Amirian, Mohammadreza
;
Tuggener, Lukas
;
Chavarriaga, Ricardo
;
Satyawan, Yvan Putra
;
Schilling, Frank-Peter
, et al