Lucas Baier

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 18

Top Topics

Machine Learning

Information Systems

Regression Problems

Top Venues

Publications

Lucas Baier, Tim Schlör, Jakob Schoeffer, Niklas Kühl
Detecting Concept Drift with Neural Network Model Uncertainty. HICSS (2023)
Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin
Human vs. supervised machine learning: Who learns patterns faster? Cogn. Syst. Res. 76 (2022)
Niklas Kühl, Robin Hirt, Lucas Baier, Björn Schmitz, Gerhard Satzger
How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card. Commun. Assoc. Inf. Syst. 48 (2021)
Lucas Baier, Vincent Kellner, Niklas Kühl, Gerhard Satzger
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets. HICSS (2021)
Max Schemmer, Daniel Heinz, Lucas Baier, Michael Vössing, Niklas Kühl
Conceptualizing Digital Resilience for AI-based Information Systems. ECIS (2021)
Lucas Baier, Niklas Kühl, Jörg Schmitt
Increasing Robustness for Machine Learning Services in Challenging Environments: Limited Resources and No Label Feedback. IntelliSys (1) (2021)
Lucas Baier, Tim Schlör, Jakob Schöffer, Niklas Kühl
Detecting Concept Drift With Neural Network Model Uncertainty. CoRR (2021)
Lucas Baier, Jakob Schöffer, Niklas Kühl
Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19. ICIS (2020)
Lucas Baier, Niklas Kühl, Gerhard Satzger, Marcel Hofmann, Marisa Mohr
Handling Concept Drifts in Regression Problems - the Error Intersection Approach. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Lucas Baier, Josua Reimold, Niklas Kühl
Handling Concept Drift for Predictions in Business Process Mining. CoRR (2020)
Lucas Baier, Vincent Kellner, Niklas Kühl, Gerhard Satzger
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets. CoRR (2020)
Lucas Baier, Marcel Hofmann, Niklas Kühl, Marisa Mohr, Gerhard Satzger
Handling Concept Drifts in Regression Problems - the Error Intersection Approach. CoRR (2020)
Lucas Baier, Josua Reimold, Niklas Kühl
Handling Concept Drift for Predictions in Business Process Mining. CBI (1) (2020)
Lucas Baier, Niklas Kühl, Jakob Schöffer, Gerhard Satzger
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic. CoRR (2020)
Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin
Human vs. supervised machine learning: Who learns patterns faster? CoRR (2020)
Lucas Baier, Fabian Jöhren, Stefan Seebacher
Challenges in the Deployment and Operation of Machine Learning in Practice. ECIS (2019)
Lucas Baier, Niklas Kühl, Gerhard Satzger
How to Cope with Change? - Preserving Validity of Predictive Services over Time. HICSS (2019)
Phani Kishore Gadepalli, Robert Gifford, Lucas Baier, Michael Kelly, Gabriel Parmer
Temporal Capabilities: Access Control for Time. RTSS (2017)