Niels Landwehr
Orcid: 0000-0001-5019-7620Affiliations:
- University of Potsdam, Germany
According to our database1,
Niels Landwehr
authored at least 42 papers
between 2002 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations.
Adv. Model. Simul. Eng. Sci., December, 2023
Hyperbolic Geometry in Computer Vision: A Novel Framework for Convolutional Neural Networks.
CoRR, 2023
2022
Neural Process. Lett., 2022
Author Correction: Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT).
npj Digit. Medicine, 2022
2021
Optimized Deep Learning Model as a Basis for Fast UAV Mapping of Weed Species in Winter Wheat Crops.
Remote. Sens., 2021
Leaf image-based classification of some common bean cultivars using discriminative convolutional neural networks.
Comput. Electron. Agric., 2021
Machine learning for improvement of thermal conditions inside a hybrid ventilated animal building.
Comput. Electron. Agric., 2021
Improved digital image-based assessment of soil aggregate size by applying convolutional neural networks.
Comput. Electron. Agric., 2021
2020
Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT).
npj Digit. Medicine, 2020
2019
Quantile Layers: Statistical Aggregation in Deep Neural Networks for Eye Movement Biometrics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
2018
A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
2017
2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
2015
J. Mach. Learn. Res., 2015
2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
2013
Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract).
Proceedings of the IJCAI 2013, 2013
2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
Mach. Learn., 2011
Fundam. Informaticae, 2011
2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
2009
Trading expressivity for efficiency in statistical relational learning: Ph.D. thesis abstract.
SIGKDD Explor., 2009
2008
Fundam. Informaticae, 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
BMC Bioinform., 2007
2006
2005
2002
Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002