Get started
Author

Lisa Jöckel

Construction of a quality model for machine learning systems
2021 · Julien Siebert, Lisa Joeckel, et al. · Software Quality Journal · 87
PDF
Towards Guidelines for Assessing Qualities of Machine Learning Systems
2020 · Julien Siebert, Lisa Joeckel, et al. · Communications in computer and information science · 59
PDF
Requirements-Driven Method to Determine Quality Characteristics and Measurements for Machine Learning Software and Its Evaluation
2020 · Koji Nakamichi, Kyoko Ohashi, et al. · IEEE International Requirements Engineering Conference (RE) · 39
Safe Traffic Sign Recognition through Data Augmentation for Autonomous Vehicles Software
2019 · Lisa Jockel, Michael Klas, et al. · IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) · 22
PDF
A Framework for Building Uncertainty Wrappers for AI/ML-Based Data-Driven Components
2020 · Michael Kläs, Lisa Jöckel · Lecture notes in computer science · 21
Handling Uncertainties of Data-Driven Models in Compliance with Safety Constraints for Autonomous Behaviour
2021 · Michael Klaes, Rasmus Adler, et al. · European Dependable Computing Conference · 16
Using Complementary Risk Acceptance Criteria to Structure Assurance Cases for Safety-Critical AI Components.
2021 · Michael Klaes, Rasmus Adler, et al. · Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) · 10
Increasing Trust in Data-Driven Model Validation
2019 · Lisa Jöckel, Michael Kläs · Lecture notes in computer science · 10
Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception
2022 · Janek Groß, Rasmus Adler, et al. · Lecture notes in computer science · 8
PDF
Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components
2022 · Kläs, Michael, Jöckel, Lisa, et al. · arXiv (Cornell University) · 7
PDF
Towards a Common Testing Terminology for Software Engineering and Data Science Experts
2021 · Lisa Jöckel, Thomas Bauer, et al. · Lecture notes in computer science · 7
PDF
Handling Uncertainty in Collaborative Embedded Systems Engineering
2020 · Torsten Bandyszak, Lisa Jöckel, et al. · Springer eBooks · 7
PDF
CFD Simulation and Visualization of Reactive Bubble Columns
2018 · Mark Werner Hlawitschka, Jan Schäfer, et al. · JOURNAL OF CHEMICAL ENGINEERING OF JAPAN · 7
Could We Relieve AI/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates
2021 · Lisa Jöckel, Michael Kläs · Lecture notes in computer science · 5
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models
2022 · Gerber, Pascal, Jöckel, Lisa, et al. · arXiv (Cornell University) · 4
PDF
Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning?
2023 · Lisa Jöckel, Michael Kläs, et al. · Lecture notes in computer science · 3
Hardening of Artificial Neural Networks for Use in Safety-Critical Applications -- A Mapping Study
2019 · Adler, Rasmus, Akram, Mohammed Naveed, et al. · arXiv (Cornell University) · 3
PDF
Can Large Language Models (LLMs) Compete with Human Requirements Reviewers? – Replication of an Inspection Experiment on Requirements Documents
2024 · Daniel Seifert, Lisa Jöckel, et al. · Lecture notes in computer science · 2
Visualizing Probabilistic Multi‐Phase Fluid Simulation Data using a Sampling Approach
2017 · M. Hummel, L. Jöckel, et al. · Computer Graphics Forum · 2
A User‐Centric Approach to Reliable Automated Flow Cytometry Data Analysis for Biomedical Applications
2025 · Georg Popp, Lisa Jöckel, et al. · Cytometry Part A · 1
Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice
2023 · Jöckel, Lisa, Kläs, Michael, et al. · arXiv (Cornell University) · 1
PDF
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning
2023 · Janek Groß, Michael Kläs, et al. · International Conference on Dependable Systems and Networks workshops · 1
PDF
Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts.
2021 · Lisa Jöckel, Thomas Bauer, et al. · arXiv (Cornell University) · 1
Evaluating Sampling Strategies for Visualizing Uncertain Multi-Phase Fluid Simulation Data
2017 · Mathias Hummel, Lisa Jöckel, et al. · Applied Mechanics and Materials · 1
PDF
Author response for "A User‐Centric Approach to Reliable Automated Flow Cytometry Data Analysis for Biomedical Applications"
2024 · Georg Popp, Lisa Jöckel, et al. · Publons reviews and discussion
Works count: 30
Citation count: 324
H-index: 8
I10-index: 8
Year
Topic
Type