Christine Preisach

Orcid: 0009-0009-1385-0585

According to our database1, Christine Preisach authored at least 20 papers between 2006 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Between Resolution Collapse and Variance Inflation: Weighted Conformal Anomaly Detection in Low-Data Regimes.
CoRR, March, 2026

Vorhersage der Mortalitätsrate und Analyse der Einflussfaktoren in der ökologischen Hähnchenmast.
Proceedings of the 46. GIL-Jahrestagung, Informatik in der Land-, Forst- und Ernährungswirtschaft, 2026

2025
Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings.
CoRR, August, 2025

Representation Learning of Auxiliary Concepts for Improved Student Modeling and Exercise Recommendation.
CoRR, August, 2025

Early Detection of Forest Calamities in Homogeneous Stands - Deep Learning Applied to Bark-Beetle Outbreaks.
CoRR, March, 2025

Early Detection of Forest Disturbances in Homogeneous Stands - Deep Learning-Based Monitoring of Picea Abies.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Hybrid Forecast of Phytoplankton in the California Current.
Proceedings of the 39th International Conference on Informatics for Environmental Protection: Open Data, 2025

Addressing Label Leakage in Knowledge Tracing Models.
Proceedings of the 17th International Conference on Computer Supported Education, 2025

Sparse Binary Representation Learning for Knowledge Tracing.
Proceedings of the 17th International Conference on Computer Supported Education, 2025

2024
Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines.
CoRR, 2024

KTbench: A Novel Data Leakage-Free Framework for Knowledge Tracing.
CoRR, 2024

Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-Values.
CoRR, 2024

Leave-One-Out-, Bootstrap- and Cross-Conformal Anomaly Detectors.
Proceedings of the IEEE International Conference on Knowledge Graph, 2024

2011
Relational semi-supervised classification using multiple relations.
PhD thesis, 2011

2010
Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

2009
Relational Classification for Personalized Tag Recommendation.
Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

Learning to Extract Relations for Relational Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008
Ensembles of relational classifiers.
Knowl. Inf. Syst., 2008

2007
Enhancing enterprise knowledge processes via cross-media extraction.
Proceedings of the 4th International Conference on Knowledge Capture (K-CAP 2007), 2007

2006
Relational Ensemble Classification.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006


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