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Mathias Kraus

Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users

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May 11, 2025
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Beware of "Explanations" of AI

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Apr 09, 2025
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CareerBERT: Matching Resumes to ESCO Jobs in a Shared Embedding Space for Generic Job Recommendations

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Mar 03, 2025
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The Impact of Transparency in AI Systems on Users' Data-Sharing Intentions: A Scenario-Based Experiment

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Feb 27, 2025
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Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability

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Sep 25, 2024
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Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models

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Sep 22, 2024
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IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight

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Mar 17, 2024
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Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering

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Feb 26, 2024
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A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions

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Jan 15, 2024
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ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets

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Oct 12, 2023
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