Relational Ensemble Classification. - Christine Preisach; Lars Schmidt-Thieme (ICDM, 2006)

Enhancing enterprise knowledge processes via cross-media extraction. - José Iria; Victoria S. Uren; Alberto Lavelli; Sebastian Blohm; Aba-Sah Dadzie; Thomas Franz; Ioannis Kompatsiaris; João Magalhães; Spiros Nikolopoulos; Christine Preisach; Piercarlo Slavazza (K-CAP, 2007)

Ensembles of relational classifiers. - Christine Preisach; Lars Schmidt-Thieme (Knowl. Inf. Syst., 2008)

Learning to Extract Relations for Relational Classification. - Steffen Rendle; Christine Preisach; Lars Schmidt-Thieme (PAKDD, 2009)

Relational Classification for Personalized Tag Recommendation. - Leandro Balby Marinho; Christine Preisach; Lars Schmidt-Thieme (DC@PKDD/ECML, 2009)

Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems. - Christine Preisach; Leandro Balby Marinho; Lars Schmidt-Thieme (PAKDD (1), 2010)

Relational semi-supervised classification using multiple relations. - Christine Preisach (2011)

Leave-One-Out-, Bootstrap- and Cross-Conformal Anomaly Detectors. - Oliver Hennhöfer; Christine Preisach (ICKG, 2024)

Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-Values. - Oliver Hennhöfer; Christine Preisach (CoRR, 2024)

KTbench: A Novel Data Leakage-Free Framework for Knowledge Tracing. - Yahya Badran; Christine Preisach (CoRR, 2024)

Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines. - Kenan Weber; Christine Preisach (CoRR, 2024)

Sparse Binary Representation Learning for Knowledge Tracing. - Yahya Badran; Christine Preisach (CSEDU (2), 2025)

Addressing Label Leakage in Knowledge Tracing Models. - Yahya Badran; Christine Preisach (CSEDU (2), 2025)

Early Detection of Forest Calamities in Homogeneous Stands - Deep Learning Applied to Bark-Beetle Outbreaks. - Maximilian Kirsch; Jakob Wernicke; Pawan Datta; Christine Preisach (CoRR, 2025)