( en | de | ru )

 

Disambiguation of "Jöckel, Lisa"

Author of the publication

copydeleteadd this publication to your clipboard
Visualizing Probabilistic Multi-Phase Fluid Simulation Data using a Sampling Approach.

, , , , and . Comput. Graph. Forum, 36 (3): 469-477 (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Andreas Jöckel

Michael Jöckel

Wolfgang Jöckel

Josef Jöckel

Hans Jöckel

 

Other publications of authors with the same name

Visualizing Probabilistic Multi-Phase Fluid Simulation Data using a Sampling Approach., , , , and . Comput. Graph. Forum, 36 (3): 469-477 (2017)Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice., , , , and . CoRR, (2023)Construction of a quality model for machine learning systems., , , , , , , , and . Softw. Qual. J., 30 (2): 307-335 (2022)Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning., , , , , , , , , and 1 other author(s). PROFES (1), volume 14483 of Lecture Notes in Computer Science, page 151-158. Springer, (2023)A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models., , and . SafeAI@AAAI, volume 3087 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Reliability Estimation of ML for Image Perception: A Lightweight Nonlinear Transformation Approach Based on Full Reference Image Quality Metrics., , , , , , , , and . MCSoC, page 186-193. IEEE, (2023)Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts., , , , and . CoRR, (2021)Handling Uncertainty in Collaborative Embedded Systems Engineering., , , , , and . Model-Based Engineering of Collaborative Embedded Systems, Springer, (2021)Handling Uncertainties of Data-Driven Models in Compliance with Safety Constraints for Autonomous Behaviour., , , , and . EDCC, page 95-102. IEEE, (2021)Increasing Trust in Data-Driven Model Validation - A Framework for Probabilistic Augmentation of Images and Meta-data Generation Using Application Scope Characteristics., and . SAFECOMP, volume 11698 of Lecture Notes in Computer Science, page 155-164. Springer, (2019)