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Eyke H\"ullermeier

Identifiers

  • name variant Eyke H\"ullermeier 0.60 · backfill

Papers (24)

  1. Calibrated Preference Learning: The Case of Label Ranking cs.LG · 2026 · author #5
  2. CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras cs.LG · 2026 · author #7
  3. Unification and Optimization of Robust Supervised Learning cs.LG · 2026 · author #4
  4. Proxy-Based Approximation of Shapley and Banzhaf Interactions cs.LG · 2026 · author #4
  5. ConfoundingSHAP: Quantifying confounding strength in causal inference cs.LG · 2026 · author #7
  6. Position: agentic AI orchestration should be Bayes-consistent cs.AI · 2026 · author #12
  7. Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network cs.LG · 2025 · author #6
  8. Uncertainty Quantification as a Principled Foundation for Explainable Artificial Intelligence: A Case Study of Counterfactual Explanations cs.LG · 2025 · author #3
  9. Shapley Value Approximation Based on k-Additive Games cs.GT · 2025 · author #3
  10. Conformal Prediction in Hierarchical Classification with Constrained Representation Complexity stat.ML · 2025 · author #4
  11. Rectifying Classifier Chains for Multi-Label Classification cs.LG · 2019 · author #3
  12. Analogy-Based Preference Learning with Kernels cs.LG · 2019 · author #2
  13. Automated Multi-Label Classification based on ML-Plan cs.LG · 2018 · author #3
  14. Automated Machine Learning Service Composition cs.SE · 2018 · author #3
  15. Mining Rank Data cs.LG · 2018 · author #2
  16. Deep Architectures for Learning Context-dependent Ranking Functions stat.ML · 2018 · author #3
  17. Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening stat.ML · 2017 · author #2
  18. From knowledge-based to data-driven modeling of fuzzy rule-based systems: A critical reflection cs.AI · 2017 · author #1
  19. Learning to Rank based on Analogical Reasoning stat.ML · 2017 · author #2
  20. Predicting Rankings of Software Verification Competitions cs.LG · 2017 · author #2
  21. Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151) cs.DB · 2017 · author #8
  22. Identification of functionally related enzymes by learning-to-rank methods cs.LG · 2014 · author #3
  23. Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization cs.LG · 2013 · author #1
  24. Label Ranking with Abstention: Predicting Partial Orders by Thresholding Probability Distributions (Extended Abstract) cs.AI · 2011 · author #2

Mentions

  • 2605.30447 #5 · arxiv_oai · confidence 0.70 Eyke H\"ullermeier
  • 1405.4394 #3 · backfill · confidence 0.70 Eyke H\"ullermeier
  • 2605.28387 #7 · arxiv_oai · confidence 0.70 Eyke H\"ullermeier
  • 2605.28165 #4 · arxiv_oai · confidence 0.70 Eyke H\"ullermeier
  • 1305.0698 #1 · backfill · confidence 0.70 Eyke H\"ullermeier
  • 1112.0508 #2 · backfill · confidence 0.70 Eyke H\"ullermeier
  • 2605.22738 #4 · arxiv_oai · confidence 0.70 Eyke H\"ullermeier
  • 2502.17007 #3 · arxiv_oai · confidence 0.70 Eyke H\"ullermeier

Frequent Coauthors