René Lehmann

13 papers Journal 2Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Breakdown of the compositional data approach in psychometric Likert scale big data analysis: about the loss of statistical power of two-sample t-tests applied to heavy-tailed big data. Brain Informatics René Lehmann, Bodo Vogt
2025	—	`conf`	Discovering Careless Response Behavior in Psychometric Data. HICSS René Lehmann, Paul Bengart, Bodo Vogt
2025	—	`conf`	Navigating the Security Challenges of LLMs: Positioning Target-Side Defenses and Identifying Research Gaps. ICISSP (2) Malte Josten, Matthias Schaffeld, René Lehmann, Torben Weis
2024	—	`conf`	Compositional data statistics improves smart tourism data analytics: profound managerial decisions through reduced statistical bias and increased power. HICSS René Lehmann, Bodo Vogt
2024	—	`conf`	Empirical Insights into the Value of a Novel Compositional Data Approach for Analyzing Bipolar Likert Scale Data. BI (1) René Lehmann, Bodo Vogt
2024	J	`jnl`	Improving Likert scale big data analysis in psychometric health economics: reliability of the new compositional data approach. Brain Informatics René Lehmann, Bodo Vogt
2024	—	`conf`	Increasing normal approximation in psychometric health care data analyses using a compositional data approach. HICSS René Lehmann, Bodo Vogt
2024	—	`conf`	Robustness of the Compositional Data Approach in Bipolar Psychometric Likert Scales Big Skewed Data Analysis. WI/IAT René Lehmann, Bodo Vogt
2024	—	`conf`	Shifting psychometric bipolar scales data towards the normal distribution. HICSS René Lehmann, Bodo Vogt
2024	—	`conf`	Towards Interoperability of APIs - an LLM-based approach. Middleware Demos/Posters/Doctoral Symposium René Lehmann
2023	—	`conf`	Increasing the Power of Two-Sample T-tests in Health Psychology Using a Compositional Data Approach. BI René Lehmann, Bodo Vogt
2023	—	`conf`	Reconsidering Bipolar Scales Data As Compositional Data Improves Psychometric Healthcare Data Analytics. HICSS René Lehmann, Bodo Vogt
2021	—	`conf`	C-Test Collector: A Proficiency Testing Application to Collect Training Data for C-Tests. BEA@EACL Christian Haring, René Lehmann, Andrea Horbach, Torsten Zesch