Ricardo Knauer

13 papers Misc 1Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Embedding World Knowledge into Tabular Models: Towards Best Practices for Embedding Pipeline Design.
CoRR
Oksana Kolomenko, Ricardo Knauer, Erik Rodner
2026 J jnl
In Search of Grandmother Cells: Tracing Interpretable Neurons in Tabular Representations.
CoRR
Ricardo Knauer, Erik Rodner
2025 — conf
'Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree': Zero-Shot Decision Tree Induction and Embedding with Large Language Models.
KDD (2)
Ricardo Knauer, Mario Koddenbrock, Raphael Wallsberger, Nicholas M. Brisson, Georg N. Duda, Deborah Falla, David W. Evans, Erik Rodner
2024 J jnl
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models.
CoRR
Ricardo Knauer, Mario Koddenbrock, Raphael Wallsberger, Nicholas M. Brisson, Georg N. Duda, Deborah Falla, David W. Evans, Erik Rodner
2024 — conf
Explainable Artificial Intelligence Beyond Feature Attributions: The Validity and Reliability of Feature Selection Explanations.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Raphael Wallsberger, Ricardo Knauer, Stephan Matzka
2024 — conf
Lecturers' Perspectives Regarding AI Competencies for Non-computer Science Students in Undergraduate Education.
OCCE
Kamilla Tenório, Ricardo Knauer, Raphael Wallsberger, Erik Rodner, Ralf Romeike
2024 J jnl
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications.
CoRR
Ricardo Knauer, Marvin Grimm, Erik Rodner
2024 J jnl
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications.
CoRR
Ricardo Knauer, Erik Rodner
2023 Misc conf
Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective.
KI
Ricardo Knauer, Erik Rodner
2023 J jnl
Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective.
CoRR
Ricardo Knauer, Erik Rodner
2023 — conf
Explainable Artificial Intelligence in Mechanical Engineering: A Synthetic Dataset for Comprehensive Failure Mode Analysis.
TransAI
Raphael Wallsberger, Ricardo Knauer, Stephan Matzka
2023 — conf
Foundations for applied artificial intelligence: enabling and supporting AI teaching and research.
GI-Jahrestagung
Ricardo Knauer, Raphael Wallsberger, Marvin Grimm, Marian Bookhahn, Frank Neumann, Stephan Matzka, Erik Rodner
2021 — conf
A Converged Cloud-Fog Architecture for Future eHealth Applications.
FMEC
Xuan-Thuy Dang, Ricardo Knauer, Sebastian Peters, Fikret Sivrikaya