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2020 – today
- 2024
[c5]Raphael Wallsberger, Ricardo Knauer, Stephan Matzka:
Explainable Artificial Intelligence Beyond Feature Attributions: The Validity and Reliability of Feature Selection Explanations. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 1-8- [i4]Ricardo Knauer, Erik Rodner:
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications. CoRR abs/2405.07662 (2024) - [i3]Ricardo Knauer, Marvin Grimm, Erik Rodner:
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications. CoRR abs/2409.01635 (2024) - [i2]Ricardo Knauer, Mario Koddenbrock, Raphael Wallsberger, Nicholas M. Brisson, Georg N. Duda, Deborah Falla, David W. Evans, Erik Rodner:
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models. CoRR abs/2409.18594 (2024) - 2023
- [c4]Ricardo Knauer, Raphael Wallsberger, Marvin Grimm, Marian Bookhahn, Frank Neumann, Stephan Matzka, Erik Rodner
:
Foundations for applied artificial intelligence: enabling and supporting AI teaching and research. GI-Jahrestagung 2023: 353-356 - [c3]Ricardo Knauer, Erik Rodner:
Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective. KI 2023: 114-129 - [c2]Raphael Wallsberger, Ricardo Knauer, Stephan Matzka:
Explainable Artificial Intelligence in Mechanical Engineering: A Synthetic Dataset for Comprehensive Failure Mode Analysis. TransAI 2023: 249-252 - [i1]Ricardo Knauer, Erik Rodner:
Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective. CoRR abs/2310.05464 (2023) - 2021
- [c1]Xuan-Thuy Dang, Ricardo Knauer, Sebastian Peters, Fikret Sivrikaya:
A Converged Cloud-Fog Architecture for Future eHealth Applications. FMEC 2021: 1-8
Coauthor Index
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