Lucas Baier - RankMe

19 papers A 1C 1Journal 8Unranked 8

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