Landwehr, Niels

25 publications

NeurIPS 2025 Robust Hyperbolic Learning with Curvature-Aware Optimization Ahmad Bdeir, Johannes Burchert, Lars Schmidt-Thieme, Niels Landwehr

ICLR 2024 Fully Hyperbolic Convolutional Neural Networks for Computer Vision Ahmad Bdeir, Kristian Schwethelm, Niels Landwehr

ECML-PKDD 2019 Quantile Layers: Statistical Aggregation in Deep Neural Networks for Eye Movement Biometrics Ahmed AbdelWahab, Niels Landwehr

ECML-PKDD 2018 A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements Silvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer

ECML-PKDD 2018 Detecting Autism by Analyzing a Simulated Social Interaction Hanna Drimalla, Niels Landwehr, Irina Baskow, Behnoush Behnia, Stefan Roepke, Isabel Dziobek, Tobias Scheffer

MLJ 2017 Varying-Coefficient Models for Geospatial Transfer Learning Matthias Bussas, Christoph Sawade, Nicolas Kühn, Tobias Scheffer, Niels Landwehr

JMLR 2015 Learning to Identify Concise Regular Expressions That Describe Email Campaigns Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer

ECML-PKDD 2014 Joint Prediction of Topics in a URL Hierarchy Michael Großhans, Christoph Sawade, Tobias Scheffer, Niels Landwehr

MLJ 2013 Active Evaluation of Ranking Functions Based on Graded Relevance Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr

IJCAI 2013 Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract) Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr

NeurIPS 2012 Active Comparison of Prediction Models Christoph Sawade, Niels Landwehr, Tobias Scheffer

ECML-PKDD 2012 Active Evaluation of Ranking Functions Based on Graded Relevance Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr

ICML 2012 Learning to Identify Regular Expressions That Describe Email Campaigns Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer

MLJ 2011 Stochastic Relational Processes: Efficient Inference and Applications Ingo Thon, Niels Landwehr, Luc De Raedt

NeurIPS 2010 Active Estimation of F-Measures Christoph Sawade, Niels Landwehr, Tobias Scheffer

ICML 2010 Active Risk Estimation Christoph Sawade, Niels Landwehr, Steffen Bickel, Tobias Scheffer

MLJ 2010 Fast Learning of Relational Kernels Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi

ECML-PKDD 2008 A Simple Model for Sequences of Relational State Descriptions Ingo Thon, Niels Landwehr, Luc De Raedt

ICML 2008 Modeling Interleaved Hidden Processes Niels Landwehr

JMLR 2007 Integrating Naïve Bayes and FOIL Niels Landwehr, Kristian Kersting, Luc De Raedt

IJCAI 2007 R-Grams: Relational Grams Niels Landwehr, Luc De Raedt

AAAI 2006 kFOIL: Learning Simple Relational Kernels Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi

MLJ 2005 Logistic Model Trees Niels Landwehr, Mark Hall, Eibe Frank

AAAI 2005 nFOIL: Integrating Naïve Bayes and FOIL Niels Landwehr, Kristian Kersting, Luc De Raedt

ECML-PKDD 2003 Logistic Model Trees Niels Landwehr, Mark Hall, Eibe Frank