Christine Preisach

22 papers A* 1B 2Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Between Resolution Collapse and Variance Inflation: Weighted Conformal Anomaly Detection in Low-Data Regimes.
CoRR
Oliver Hennhöfer, Christine Preisach
2026 — conf
Vorhersage der Mortalitätsrate und Analyse der Einflussfaktoren in der ökologischen Hähnchenmast.
GIL
Maximilian Kirsch, Ida Hausmann, Jeanne Sinn, Christine Preisach
2025 — conf
Addressing Label Leakage in Knowledge Tracing Models.
CSEDU (2)
Yahya Badran, Christine Preisach
2025 J jnl
Early Detection of Forest Calamities in Homogeneous Stands - Deep Learning Applied to Bark-Beetle Outbreaks.
CoRR
Maximilian Kirsch, Jakob Wernicke, Pawan Datta, Christine Preisach
2025 J jnl
Early Detection of Forest Disturbances in Homogeneous Stands - Deep Learning-Based Monitoring of Picea Abies.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Maximilian Kirsch, Jakob Wernicke, Pawanjeet S. Datta, Christine Preisach
2025 J jnl
Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings.
CoRR
Yahya Badran, Christine Preisach
2025 — conf
Hybrid Forecast of Phytoplankton in the California Current.
EnviroInfo
Ida Hausmann, Christine Preisach
2025 J jnl
Representation Learning of Auxiliary Concepts for Improved Student Modeling and Exercise Recommendation.
CoRR
Yahya Badran, Christine Preisach
2025 — conf
Sparse Binary Representation Learning for Knowledge Tracing.
CSEDU (2)
Yahya Badran, Christine Preisach
2025 J jnl
Sparse Binary Representation Learning for Knowledge Tracing.
CoRR
Yahya Badran, Christine Preisach
2024 J jnl
KTbench: A Novel Data Leakage-Free Framework for Knowledge Tracing.
CoRR
Yahya Badran, Christine Preisach
2024 — conf
Leave-One-Out-, Bootstrap- and Cross-Conformal Anomaly Detectors.
ICKG
Oliver Hennhöfer, Christine Preisach
2024 J jnl
Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines.
CoRR
Kenan Weber, Christine Preisach
2024 J jnl
Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-Values.
CoRR
Oliver Hennhöfer, Christine Preisach
2011 — —
Relational semi-supervised classification using multiple relations.
Christine Preisach
2010 — conf
Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems.
PAKDD (1)
Christine Preisach, Leandro Balby Marinho, Lars Schmidt-Thieme
2009 B conf
Learning to Extract Relations for Relational Classification.
PAKDD
Steffen Rendle, Christine Preisach, Lars Schmidt-Thieme
2009 — conf
Relational Classification for Personalized Tag Recommendation.
DC@PKDD/ECML
Leandro Balby Marinho, Christine Preisach, Lars Schmidt-Thieme
2008 — ed.
Data Analysis, Machine Learning and Applications - Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007
GfKl
Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker
2008 J jnl
Ensembles of relational classifiers.
Knowl. Inf. Syst.
Christine Preisach, Lars Schmidt-Thieme
2007 B conf
Enhancing enterprise knowledge processes via cross-media extraction.
K-CAP
José Iria, Victoria S. Uren, Alberto Lavelli, Sebastian Blohm, Aba-Sah Dadzie, Thomas Franz, Ioannis Kompatsiaris, João Magalhães, Spiros Nikolopoulos, Christine Preisach, Piercarlo Slavazza
2006 A* conf
Relational Ensemble Classification.
ICDM
Christine Preisach, Lars Schmidt-Thieme