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Klaus Mueller

4 papers hereh-index 4328 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.HC2
  • cs.CY1
  • cs.LG1
same name
  • Klaus Mueller — 4 papers, h 1
  • Klaus Mueller — 4 papers, h 2
  • Klaus Mueller — 3 papers, h 2
  • Klaus Mueller — 3 papers, h 2
  • Klaus Mueller — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CY2026

Do LLMs Ask the Right Questions? Evaluating GPT-Generated Surveys as Instruments for Measuring Social Attitudes

Tina Behzad, Wenbo Li, Reuben Kline +1

Understanding human beliefs and social attitudes often relies on carefully designed survey instruments. Recent work has suggested that large language models (LLMs) could automate p…

cs.HC2026

ImputeViz: A Visual Analytics Dashboard for Diagnosing Missing Data and Comparing Imputation Methods

Aitik Dandapat, Lalith Punepalle Raveendrareddy, Mithilesh Kumar Singh +1

Missing data is a persistent obstacle in scientific, social science, and public health research, often biasing analyses and placing accountability on analysts for how they handle m…

cs.LG2025

FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness

Tina Behzad, Mithilesh Kumar Singh, Anthony J. Ripa +1

The issue of fairness in decision-making is a critical one, especially given the variety of stakeholder demands for differing and mutually incompatible versions of fairness. Adopti…

cs.HC2025

Explainable XR: Understanding User Behaviors of XR Environments using LLM-assisted Analytics Framework

Yoonsang Kim, Zainab Aamir, Mithilesh Singh +3

We present Explainable XR, an end-to-end framework for analyzing user behavior in diverse eXtended Reality (XR) environments by leveraging Large Language Models (LLMs) for data int…

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