Bauckhage, Christian

18 publications

MLJ 2025 Improving Graph Neural Networks Through Feature Importance Learning Fouad Alkhoury, Tamás Horváth, Christian Bauckhage, Stefan Wrobel

TMLR 2025 Learning to Rank Features to Enhance Graph Neural Networks for Graph Classification Fouad Alkhoury, Tamas Horvath, Christian Bauckhage, Stefan Wrobel

ECML-PKDD 2024 Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awareness Lars Hillebrand, Prabhupad Pradhan, Christian Bauckhage, Rafet Sifa

ECML-PKDD 2023 An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke

ICLR 2023 Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi

AAAI 2021 Learning Deep Generative Models for Queuing Systems César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez

AAAI 2019 Triple Classification Using Regions and Fine-Grained Entity Typing Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers

MLJ 2016 Propagation Kernels: Efficient Graph Kernels from Propagated Information Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting

IJCAI 2015 Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation Fabian Hadiji, Martin Mladenov, Christian Bauckhage, Kristian Kersting

UAI 2015 Parameterizing the Distance Distribution of Undirected Networks Christian Bauckhage, Kristian Kersting, Fabian Hadiji

CVPR 2014 Informed Haar-like Features Improve Pedestrian Detection Shanshan Zhang, Christian Bauckhage, Armin B. Cremers

UAI 2012 Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants Mirwaes Wahabzada, Kristian Kersting, Christian Bauckhage, Christoph Römer, Agim Ballvora, Francisco Pinto, Uwe Rascher, Jens Leon, Lutz Ploemer

ECML-PKDD 2012 Matrix Factorization as Search Kristian Kersting, Christian Bauckhage, Christian Thurau, Mirwaes Wahabzada

AAAI 2012 Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Christian Bauckhage, Christian Thurau, Christoph Römer, Agim Ballvora, Uwe Rascher, Jens Leon, Lutz Plümer

ACML 2010 Hierarchical Convex NMF for Clustering Massive Data Kristian Kersting, Mirwaes Wahabzada, Christian Thurau, Christian Bauckhage

CVPR 2006 Applying Ensembles of Multilinear Classifiers in the Frequency Domain Christian Bauckhage, Thomas Käster, John K. Tsotsos

CVPR 2004 A Cognitive Vision System for Action Recognition in Office Environments Christian Bauckhage, Marc Hanheide, Sebastian Wrede, Gerhard Sagerer

ICCV 1998 Comparing and Evaluating Interest Points Cordelia Schmid, Roger Mohr, Christian Bauckhage