E-LIB Suche - Ergebnisse für: Hoffmann, Jörg

1

Boosting optimal symbolic planning: Operator-potential heur..:

Fišer, Daniel ; Torralba, Álvaro ; Hoffmann, Jörg
Artificial Intelligence. , 2024

Link: https://doi.org/10.1016/..

2

The Role of Patent and Competition Law for Setting the Righ..:

, In: Kreation Innovation Märkte - Creation Innovation Markets,

Hoffmann, Jörg - p. 575-591 , 2024

Link: https://doi.org/10.1007/..

3

An Explainable AI System for the Diagnosis of High-Dimensio..:

Ultsch, Alfred ; Hoffmann, Jörg ; Röhnert, Maximilian A....
BioMedInformatics. 4 (2024) 1 - p. 197-218 , 2024

Link: https://doi.org/10.3390/..

4

High attack rate in a large care home outbreak of SARS-CoV-..:

Reeve, Lucy ; Tessier, Elise ; Trindall, Amy...
Eurosurveillance. 28 (2023) 39 - p. , 2023

Link: https://doi.org/10.2807/..

5

Position Statement of the Max Planck Institute for Innovati..:

Drexl, Josef ; Conde Gallego, Beatriz ; González Otero, Begoña...
GRUR International. 72 (2023) 9 - p. 864-875 , 2023

Link: https://doi.org/10.1093/..

6

Gatekeeper's potential privilege—the need to limit DMA cent..:

Hoffmann, Jörg ; Herrmann, Liza ; Kestler, Lukas
Journal of Antitrust Enforcement. 12 (2023) 1 - p. 126-147 , 2023

Link: https://doi.org/10.1093/..

7

DSMC Evaluation Stages: Fostering Robust and Safe Behavior ..:

Gros, Timo P. ; Groß, Joschka ; Höller, Daniel...
ACM Transactions on Modeling and Computer Simulation. 33 (2023) 4 - p. 1-28 , 2023

Link: https://doi.org/10.1145/..

8

Metamorphic relations via relaxations: an approach to obtai..:

, In: Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis,

Eniser, Hasan Ferit ; Gros, Timo P. ; Wüstholz, Valentin.. - p. 52-63 , 2022

Link: https://dl.acm.org/doi/1..

9

Flow cytometry datasets consisting of peripheral blood and ..:

Thrun, Michael C. ; Hoffmann, Jörg ; Röhnert, Maximilian...
Data in Brief. 43 (2022) - p. 108382 , 2022

Link: https://doi.org/10.1016/..

10

MoGym: Using Formal Models for Training and Verifying Decis..:

, In: Computer Aided Verification; Lecture Notes in Computer Science,

Gros, Timo P. ; Hermanns, Holger ; Hoffmann, Jörg... - p. 430-443 , 2022

Link: https://doi.org/10.1007/..

11

Analyzing neural network behavior through deep statistical ..:

Gros, Timo P. ; Hermanns, Holger ; Hoffmann, Jörg..
International Journal on Software Tools for Technology Transfer. 25 (2022) 3 - p. 407-426 , 2022

Link: https://doi.org/10.1007/..

12

Reproducible measurable residual disease detection by multi..:

Röhnert, Maximilian A. ; Kramer, Michael ; Schadt, Jonas...
Leukemia. 36 (2022) 9 - p. 2208-2217 , 2022

Link: https://doi.org/10.1038/..

13

Monitoring multiple myeloma in the peripheral blood based o..:

Mack, Elisabeth K. M. ; Hartmann, Sören ; Ross, Petra...
Annals of Hematology. 101 (2022) 4 - p. 811-824 , 2022

Link: https://doi.org/10.1007/..

14

Integrationsmanagement:

, In: Digitalisierungs- und Informationsmanagement,

Engländer, Jacques ; Niederau, Mathis ; Hoffmann, Jörg. - p. 399-425 , 2022

Link: https://doi.org/10.1007/..

15

Strategieentwicklung:

, In: Digitalisierungs- und Informationsmanagement,

Bleider, Martin ; Hoffmann, Jörg - p. 81-137 , 2022

Link: https://doi.org/10.1007/..