Lisa Jöckel

28 papers A 1B 5Misc 2Journal 11Unranked 8
YearRankTypeTitle / Venue / Authors
2024 B conf
Can Large Language Models (LLMs) Compete with Human Requirements Reviewers? - Replication of an Inspection Experiment on Requirements Documents.
PROFES
Daniel Seifert, Lisa Jöckel, Adam Trendowicz, Marcus Ciolkowski, Thorsten Honroth, Andreas Jedlitschka
2023 — conf
Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning?
SAFECOMP Workshops
Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber
2023 — conf
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning.
PROFES (1)
Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber, Markus Scholz, Jonathan Eberle, Marc Teschner, Daniel Seifert, Richard Hawkins, John Molloy, Jens Ottnad
2023 J jnl
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning.
CoRR
Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber, Markus Scholz, Jonathan Eberle, Marc Teschner, Daniel Seifert, Richard Hawkins, John Molloy, Jens Ottnad
2023 — conf
Reliability Estimation of ML for Image Perception: A Lightweight Nonlinear Transformation Approach Based on Full Reference Image Quality Metrics.
MCSoC
João-Vitor Zacchi, Francesco Carella, Priyank Upadhya, Shanza Ali Zafar, John Molloy, Lisa Jöckel, Janek Groß, Núria Mata, Nguyen Anh Vu Doan
2023 — conf
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning.
DSN-W
Janek Groß, Michael Kläs, Lisa Jöckel, Pascal Gerber
2023 J jnl
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning.
CoRR
Janek Groß, Michael Kläs, Lisa Jöckel, Pascal Gerber
2023 J jnl
Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice.
CoRR
Lisa Jöckel, Michael Kläs, Georg Popp, Nadja Hilger, Stephan Fricke
2022 — conf
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models.
SafeAI@AAAI
Pascal Gerber, Lisa Jöckel, Michael Kläs
2022 J jnl
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models.
CoRR
Pascal Gerber, Lisa Jöckel, Michael Kläs
2022 B conf
Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception.
SAFECOMP
Janek Groß, Rasmus Adler, Michael Kläs, Jan Reich, Lisa Jöckel, Roman Gansch
2022 J jnl
Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception.
CoRR
Janek Groß, Rasmus Adler, Michael Kläs, Jan Reich, Lisa Jöckel, Roman Gansch
2022 J jnl
Construction of a quality model for machine learning systems.
Softw. Qual. J.
Julien Siebert, Lisa Jöckel, Jens Heidrich, Adam Trendowicz, Koji Nakamichi, Kyoko Ohashi, Isao Namba, Rieko Yamamoto, Mikio Aoyama
2022 J jnl
Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components.
CoRR
Michael Kläs, Lisa Jöckel, Rasmus Adler, Jan Reich
2021 B conf
Could We Relieve AI/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates.
SAFECOMP
Lisa Jöckel, Michael Kläs
2021 Misc conf
Handling Uncertainties of Data-Driven Models in Compliance with Safety Constraints for Autonomous Behaviour.
EDCC
Michael Kläs, Rasmus Adler, Ioannis Sorokos, Lisa Jöckel, Jan Reich
2021 — ch.
Handling Uncertainty in Collaborative Embedded Systems Engineering.
Model-Based Engineering of Collaborative Embedded Systems
Torsten Bandyszak, Lisa Jöckel, Michael Kläs, Sebastian Törsleff, Thorsten Weyer, Boris Wirtz
2021 J jnl
Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts.
CoRR
Lisa Jöckel, Thomas Bauer, Michael Kläs, Marc P. Hauer, Janek Groß
2021 B conf
Towards a Common Testing Terminology for Software Engineering and Data Science Experts.
PROFES
Lisa Jöckel, Thomas Bauer, Michael Kläs, Marc P. Hauer, Janek Groß
2021 — conf
Using Complementary Risk Acceptance Criteria to Structure Assurance Cases for Safety-Critical AI Components.
AISafety@IJCAI
Michael Klaes, Rasmus Adler, Lisa Jöckel, Janek Groß, Jan Reich
2020 — conf
A Framework for Building Uncertainty Wrappers for AI/ML-Based Data-Driven Components.
SAFECOMP Workshops
Michael Kläs, Lisa Jöckel
2020 A conf
Requirements-Driven Method to Determine Quality Characteristics and Measurements for Machine Learning Software and Its Evaluation.
RE
Koji Nakamichi, Kyoko Ohashi, Isao Namba, Rieko Yamamoto, Mikio Aoyama, Lisa Jöckel, Julien Siebert, Jens Heidrich
2020 Misc conf
Towards Guidelines for Assessing Qualities of Machine Learning Systems.
QUATIC
Julien Siebert, Lisa Jöckel, Jens Heidrich, Koji Nakamichi, Kyoko Ohashi, Isao Namba, Rieko Yamamoto, Mikio Aoyama
2020 J jnl
Towards Guidelines for Assessing Qualities of Machine Learning Systems.
CoRR
Julien Siebert, Lisa Jöckel, Jens Heidrich, Koji Nakamichi, Kyoko Ohashi, Isao Namba, Rieko Yamamoto, Mikio Aoyama
2019 J jnl
Hardening of Artificial Neural Networks for Use in Safety-Critical Applications - A Mapping Study.
CoRR
Rasmus Adler, Mohammed Naveed Akram, Pascal Bauer, Patrik Feth, Pascal Gerber, Andreas Jedlitschka, Lisa Jöckel, Michael Kläs, Daniel Schneider
2019 B conf
Increasing Trust in Data-Driven Model Validation - A Framework for Probabilistic Augmentation of Images and Meta-data Generation Using Application Scope Characteristics.
SAFECOMP
Lisa Jöckel, Michael Kläs
2019 — conf
Safe Traffic Sign Recognition through Data Augmentation for Autonomous Vehicles Software.
QRS Companion
Lisa Jöckel, Michael Kläs, Silverio Martínez-Fernández
2017 J jnl
Visualizing Probabilistic Multi-Phase Fluid Simulation Data using a Sampling Approach.
Comput. Graph. Forum
Mathias Hummel, Lisa Jöckel, J. Schäfer, Mark W. Hlawitschka, Christoph Garth