Niels Landwehr

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 20

Top Topics

Autism Spectrum Disorder

Social Interaction

Top Venues

Comput. Electron. Agric.

Publications

Ahmad Bdeir, Kristian Schwethelm, Niels Landwehr
Fully Hyperbolic Convolutional Neural Networks for Computer Vision. ICLR (2024)
Ahmad Bdeir, Niels Landwehr
Optimizing Curvature Learning for Robust Hyperbolic Deep Learning in Computer Vision. CoRR (2024)
Ahmad Bdeir, Kristian Schwethelm, Niels Landwehr
Hyperbolic Geometry in Computer Vision: A Novel Framework for Convolutional Neural Networks. CoRR (2023)
Saddam Hijazi, Melina Freitag, Niels Landwehr
POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations. Adv. Model. Simul. Eng. Sci. 10 (1) (2023)
Ahmed AbdelWahab, Niels Landwehr
Deep Distributional Sequence Embeddings Based on a Wasserstein Loss. Neural Process. Lett. 54 (5) (2022)
Hanna Drimalla, Tobias Scheffer, Niels Landwehr, Irina Baskow, Stefan Roepke, Behnoush Behnia, Isabel Dziobek
Author Correction: Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digit. Medicine 5 (2022)
Tibor de Camargo, Michael Schirrmann, Niels Landwehr, Karl-Heinz Dammer, Michael Pflanz
Optimized Deep Learning Model as a Basis for Fast UAV Mapping of Weed Species in Winter Wheat Crops. Remote. Sens. 13 (9) (2021)
Khem Raj Gautam, Guoqiang Zhang, Niels Landwehr, Julian Adolphs
Machine learning for improvement of thermal conditions inside a hybrid ventilated animal building. Comput. Electron. Agric. 187 (2021)
Hamed Tavakoli, Pendar Alirezazadeh, A. Hedayatipour, A. H. Banijamali Nasib, Niels Landwehr
Leaf image-based classification of some common bean cultivars using discriminative convolutional neural networks. Comput. Electron. Agric. 181 (2021)
Pendar Alirezazadeh, Fatemeh Rahimi-Ajdadi, Yousef Abbaspour-Gilandeh, Niels Landwehr, Hamed Tavakoli
Improved digital image-based assessment of soil aggregate size by applying convolutional neural networks. Comput. Electron. Agric. 191 (2021)
Saddam Hijazi, Melina Freitag, Niels Landwehr
POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations. CoRR (2021)
Hanna Drimalla, Tobias Scheffer, Niels Landwehr, Irina Baskow, Stefan Roepke, Behnoush Behnia, Isabel Dziobek
Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digit. Medicine 3 (2020)
Ahmed AbdelWahab, Niels Landwehr
Quantile Layers: Statistical Aggregation in Deep Neural Networks for Eye Movement Biometrics. ECML/PKDD (2) (2019)
Ahmed AbdelWahab, Niels Landwehr
Deep Distributional Sequence Embeddings Based on a Wasserstein Loss. CoRR (2019)
Silvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer
A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements. ECML/PKDD (1) (2018)
Silvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer
A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements. CoRR (2018)
Hanna Drimalla, Niels Landwehr, Irina Baskow, Behnoush Behnia, Stefan Roepke, Isabel Dziobek, Tobias Scheffer
Detecting Autism by Analyzing a Simulated Social Interaction. ECML/PKDD (1) (2018)
Matthias Bussas, Christoph Sawade, Nicolas Kühn, Tobias Scheffer, Niels Landwehr
Varying-coefficient models for geospatial transfer learning. Mach. Learn. 106 (9-10) (2017)
Ahmed AbdelWahab, Reinhold Kliegl, Niels Landwehr
A Semiparametric Model for Bayesian Reader Identification. CoRR (2016)
Ahmed AbdelWahab, Reinhold Kliegl, Niels Landwehr
A Semiparametric Model for Bayesian Reader Identification. EMNLP (2016)
Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer
Learning to identify concise regular expressions that describe email campaigns. J. Mach. Learn. Res. 16 (2015)
Matthias Bussas, Christoph Sawade, Tobias Scheffer, Niels Landwehr
Varying-coefficient models with isotropic Gaussian process priors. CoRR (2015)
Niels Landwehr, Sebastian Arzt, Tobias Scheffer, Reinhold Kliegl
A Model of Individual Differences in Gaze Control During Reading. EMNLP (2014)
Michael Großhans, Christoph Sawade, Tobias Scheffer, Niels Landwehr
Joint Prediction of Topics in a URL Hierarchy. ECML/PKDD (1) (2014)
Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
Active evaluation of ranking functions based on graded relevance. Mach. Learn. 92 (1) (2013)
Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract). IJCAI (2013)
Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer
Learning to Identify Regular Expressions that Describe Email Campaigns CoRR (2012)
Christoph Sawade, Niels Landwehr, Tobias Scheffer
Active Comparison of Prediction Models. NIPS (2012)
Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
Active Evaluation of Ranking Functions Based on Graded Relevance. ECML/PKDD (2) (2012)
Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer
Learning to Identify Regular Expressions that Describe Email Campaigns. ICML (2012)
Elisa Cilia, Niels Landwehr, Andrea Passerini
Relational Feature Mining with Hierarchical Multitask kFOIL. Fundam. Informaticae 113 (2) (2011)
Ingo Thon, Niels Landwehr, Luc De Raedt
Stochastic relational processes: Efficient inference and applications. Mach. Learn. 82 (2) (2011)
Christoph Sawade, Niels Landwehr, Tobias Scheffer
Active Estimation of F-Measures. NIPS (2010)
Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
Fast learning of relational kernels. Mach. Learn. 78 (3) (2010)
Christoph Sawade, Niels Landwehr, Steffen Bickel, Tobias Scheffer
Active Risk Estimation. ICML (2010)
Niels Landwehr
Trading expressivity for efficiency in statistical relational learning: Ph.D. thesis abstract. SIGKDD Explor. 11 (2) (2009)
Niels Landwehr
Modeling interleaved hidden processes. ICML (2008)
Ingo Thon, Niels Landwehr, Luc De Raedt
A Simple Model for Sequences of Relational State Descriptions. ECML/PKDD (2) (2008)
Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De Raedt, Matthai Philipose
Relational Transformation-based Tagging for Activity Recognition. Fundam. Informaticae 89 (1) (2008)
Andreas Karwath, Kristian Kersting, Niels Landwehr
Boosting Relational Sequence Alignments. ICDM (2008)
Matti Kääriäinen, Niels Landwehr, Sampsa Lappalainen, Taneli Mielikäinen
Combining haplotypers CoRR (2007)
Niels Landwehr, Taneli Mielikäinen, Lauri Eronen, Hannu Toivonen, Heikki Mannila
Constrained hidden Markov models for population-based haplotyping. BMC Bioinform. 8 (S-2) (2007)
Niels Landwehr, Kristian Kersting, Luc De Raedt
Integrating Naïve Bayes and FOIL. J. Mach. Learn. Res. 8 (2007)
Niels Landwehr, Luc De Raedt
r-grams: Relational Grams. IJCAI (2007)
Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
kFOIL: Learning Simple Relational Kernels. AAAI (2006)
Niels Landwehr, Mark A. Hall, Eibe Frank
Logistic Model Trees. Mach. Learn. 59 (1-2) (2005)
Niels Landwehr, Kristian Kersting, Luc De Raedt
nFOIL: Integrating Naïve Bayes and FOIL. AAAI (2005)
Niels Landwehr, Mark A. Hall, Eibe Frank
Logistic Model Trees. ECML (2003)
Kristian Kersting, Niels Landwehr
Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm. Probabilistic Graphical Models (2002)