Nils Kemmerzell

According to our database1, Nils Kemmerzell authored at least 7 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction.
CoRR, 2024

Quantifying the Trade-Offs Between Dimensions of Trustworthy AI - An Empirical Study on Fairness, Explainability, Privacy, and Robustness.
Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards a Quantitative Evaluation Framework for Trustworthy AI in Facial Analysis.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process.
Mach. Learn. Knowl. Extr., March, 2023

Disentangling the Linguistic Competence of Privacy-Preserving BERT.
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023


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