Lucas Baier

According to our database, Lucas Baier authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Detecting Concept Drift with Neural Network Model Uncertainty.

Lucas Baier, Tim Schlör, Jakob Schoeffer, Niklas Kühl

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

Human vs. supervised machine learning: Who learns patterns faster?

Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin

Cogn. Syst. Res., 2022

2021

Concept Drift Handling in Information Systems: Preserving the Validity of Deployed Machine Learning Models.

Lucas Baier

PhD thesis, 2021

How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card.

Niklas Kühl, Robin Hirt, Lucas Baier, Björn Schmitz, Gerhard Satzger

Commun. Assoc. Inf. Syst., 2021

Increasing Robustness for Machine Learning Services in Challenging Environments: Limited Resources and No Label Feedback.

Lucas Baier, Niklas Kühl, Jörg Schmitt

Proceedings of the Intelligent Systems and Applications, 2021

Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets.

Lucas Baier, Vincent Kellner, Niklas Kühl, Gerhard Satzger

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Conceptualizing Digital Resilience for AI-based Information Systems.

Max Schemmer, Daniel Heinz, Lucas Baier, Michael Vössing, Niklas Kühl

Proceedings of the 29th European Conference on Information Systems, 2021

2020

Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic.

Lucas Baier, Niklas Kühl, Jakob Schöffer, Gerhard Satzger

CoRR, 2020

Handling Concept Drifts in Regression Problems - the Error Intersection Approach.

Lucas Baier, Niklas Kühl, Gerhard Satzger, Marcel Hofmann, Marisa Mohr

Proceedings of the Entwicklungen, 2020

Handling Concept Drift for Predictions in Business Process Mining.

Lucas Baier, Josua Reimold, Niklas Kühl

Proceedings of the 22nd IEEE Conference on Business Informatics, 2020

Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19.

Lucas Baier, Jakob Schöffer, Niklas Kühl

Proceedings of the 41st International Conference on Information Systems, 2020

2019

How to Cope with Change? - Preserving Validity of Predictive Services over Time.

Lucas Baier, Niklas Kühl, Gerhard Satzger

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Challenges in the Deployment and Operation of Machine Learning in Practice.

Lucas Baier, Fabian Jöhren, Stefan Seebacher

Proceedings of the 27th European Conference on Information Systems, 2019

2017

Temporal Capabilities: Access Control for Time.

Phani Kishore Gadepalli, Robert Gifford, Lucas Baier, Michael Kelly, Gabriel Parmer

Proceedings of the 2017 IEEE Real-Time Systems Symposium, 2017