Niels Landwehr

57 papers A* 11Journal 30Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HexFormer: Hyperbolic Vision Transformer with Exponential Map Aggregation. CoRR Haya Alyoussef, Ahmad Bdeir, Diego Coello de Portugal Mecke, Tom Hanika, Niels Landwehr, Lars Schmidt-Thieme
2026	J	`jnl`	LAtte: Hyperbolic Lorentz Attention for Cross-Subject EEG Classification. CoRR Johannes Burchert, Ahmad Bdeir, Tom Hanika, Lars Schmidt-Thieme, Niels Landwehr
2025	—	`conf`	Self-layer-wise Distillation for Light-Weighted Transformer Models in Speech Emotion Recognition. ICONIP (5) Divya Lakshmi Yalavarthi, Ahmad Bdeir, Niels Landwehr, Ronald Böck
2024	A*	`conf`	Fully Hyperbolic Convolutional Neural Networks for Computer Vision. ICLR Ahmad Bdeir, Kristian Schwethelm, Niels Landwehr
2024	J	`jnl`	Optimizing Curvature Learning for Robust Hyperbolic Deep Learning in Computer Vision. CoRR Ahmad Bdeir, Niels Landwehr
2023	J	`jnl`	Hyperbolic Geometry in Computer Vision: A Novel Framework for Convolutional Neural Networks. CoRR Ahmad Bdeir, Kristian Schwethelm, Niels Landwehr
2023	J	`jnl`	POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations. Adv. Model. Simul. Eng. Sci. Saddam Hijazi, Melina A. Freitag, Niels Landwehr
2022	J	`jnl`	Author Correction: Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digit. Medicine Hanna Drimalla, Tobias Scheffer, Niels Landwehr, Irina Baskow, Stefan Roepke, Behnoush Behnia, Isabel Dziobek
2022	J	`jnl`	Deep Distributional Sequence Embeddings Based on a Wasserstein Loss. Neural Process. Lett. Ahmed AbdelWahab, Niels Landwehr
2021	J	`jnl`	Improved digital image-based assessment of soil aggregate size by applying convolutional neural networks. Comput. Electron. Agric. Pendar Alirezazadeh, Fatemeh Rahimi-Ajdadi, Yousef Abbaspour-Gilandeh, Niels Landwehr, Hamed Tavakoli
2021	J	`jnl`	Leaf image-based classification of some common bean cultivars using discriminative convolutional neural networks. Comput. Electron. Agric. Hamed Tavakoli, Pendar Alirezazadeh, A. Hedayatipour, A. H. Banijamali Nasib, Niels Landwehr
2021	J	`jnl`	Machine learning for improvement of thermal conditions inside a hybrid ventilated animal building. Comput. Electron. Agric. Khem Raj Gautam, Guoqiang Zhang, Niels Landwehr, Julian Adolphs
2021	J	`jnl`	Optimized Deep Learning Model as a Basis for Fast UAV Mapping of Weed Species in Winter Wheat Crops. Remote. Sens. Tibor de Camargo, Michael Schirrmann, Niels Landwehr, Karl-Heinz Dammer, Michael Pflanz
2021	J	`jnl`	POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations. CoRR Saddam Hijazi, Melina A. Freitag, Niels Landwehr
2020	J	`jnl`	Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digit. Medicine Hanna Drimalla, Tobias Scheffer, Niels Landwehr, Irina Baskow, Stefan Roepke, Behnoush Behnia, Isabel Dziobek
2019	J	`jnl`	Deep Distributional Sequence Embeddings Based on a Wasserstein Loss. CoRR Ahmed AbdelWahab, Niels Landwehr
2019	—	`conf`	Quantile Layers: Statistical Aggregation in Deep Neural Networks for Eye Movement Biometrics. ECML/PKDD (2) Ahmed AbdelWahab, Niels Landwehr
2018	—	`conf`	A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements. ECML/PKDD (1) Silvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer
2018	J	`jnl`	A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements. CoRR Silvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer
2018	—	`conf`	Detecting Autism by Analyzing a Simulated Social Interaction. ECML/PKDD (1) Hanna Drimalla, Niels Landwehr, Irina Baskow, Behnoush Behnia, Stefan Roepke, Isabel Dziobek, Tobias Scheffer
2017	J	`jnl`	Varying-coefficient models for geospatial transfer learning. Mach. Learn. Matthias Bussas, Christoph Sawade, Nicolas Kühn, Tobias Scheffer, Niels Landwehr
2016	A*	`conf`	A Semiparametric Model for Bayesian Reader Identification. EMNLP Ahmed AbdelWahab, Reinhold Kliegl, Niels Landwehr
2016	J	`jnl`	A Semiparametric Model for Bayesian Reader Identification. CoRR Ahmed AbdelWahab, Reinhold Kliegl, Niels Landwehr
2016	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I ECML/PKDD (1) Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken
2016	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II ECML/PKDD (2) Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken
2015	J	`jnl`	Learning to identify concise regular expressions that describe email campaigns. J. Mach. Learn. Res. Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer
2015	J	`jnl`	Varying-coefficient models with isotropic Gaussian process priors. CoRR Matthias Bussas, Christoph Sawade, Tobias Scheffer, Niels Landwehr
2014	A*	`conf`	A Model of Individual Differences in Gaze Control During Reading. EMNLP Niels Landwehr, Sebastian Arzt, Tobias Scheffer, Reinhold Kliegl
2014	—	`conf`	Joint Prediction of Topics in a URL Hierarchy. ECML/PKDD (1) Michael Großhans, Christoph Sawade, Tobias Scheffer, Niels Landwehr
2013	A*	`conf`	Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract). IJCAI Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
2013	J	`jnl`	Active evaluation of ranking functions based on graded relevance. Mach. Learn. Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
2012	—	`conf`	Active Comparison of Prediction Models. NIPS Christoph Sawade, Niels Landwehr, Tobias Scheffer
2012	—	`conf`	Active Evaluation of Ranking Functions Based on Graded Relevance. ECML/PKDD (2) Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
2012	J	`jnl`	Learning to Identify Regular Expressions that Describe Email Campaigns CoRR Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer
2012	A*	`conf`	Learning to Identify Regular Expressions that Describe Email Campaigns. ICML Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer
2011	J	`jnl`	Relational Feature Mining with Hierarchical Multitask kFOIL. Fundam. Informaticae Elisa Cilia, Niels Landwehr, Andrea Passerini
2011	J	`jnl`	Stochastic relational processes: Efficient inference and applications. Mach. Learn. Ingo Thon, Niels Landwehr, Luc De Raedt
2010	—	`conf`	Active Estimation of F-Measures. NIPS Christoph Sawade, Niels Landwehr, Tobias Scheffer
2010	A*	`conf`	Active Risk Estimation. ICML Christoph Sawade, Niels Landwehr, Steffen Bickel, Tobias Scheffer
2010	J	`jnl`	Fast learning of relational kernels. Mach. Learn. Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
2009	—	`conf`	An Exercise with Statistical Relational Learning Systems. MLG/SRL@ILP Maurice Bruynooghe, Daan Fierens, Bernd Gutmann, Angelika Kimmig, Niels Landwehr, Wannes Meert, Ingo Thon, Luc De Raedt
2009	J	`jnl`	Trading expressivity for efficiency in statistical relational learning: Ph.D. thesis abstract. SIGKDD Explor. Niels Landwehr
2008	—	`conf`	A Simple Model for Sequences of Relational State Descriptions. ECML/PKDD (2) Ingo Thon, Niels Landwehr, Luc De Raedt
2008	A*	`conf`	Boosting Relational Sequence Alignments. ICDM Andreas Karwath, Kristian Kersting, Niels Landwehr
2008	A*	`conf`	Modeling interleaved hidden processes. ICML Niels Landwehr
2008	—	`ch.`	Probabilistic Logic Learning from Haplotype Data. Probabilistic Inductive Logic Programming Niels Landwehr, Taneli Mielikäinen
2008	—	`ch.`	Relational Sequence Learning. Probabilistic Inductive Logic Programming Kristian Kersting, Luc De Raedt, Bernd Gutmann, Andreas Karwath, Niels Landwehr
2008	J	`jnl`	Relational Transformation-based Tagging for Activity Recognition. Fundam. Informaticae Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De Raedt, Matthai Philipose
2007	J	`jnl`	Combining haplotypers CoRR Matti Kääriäinen, Niels Landwehr, Sampsa Lappalainen, Taneli Mielikäinen
2007	J	`jnl`	Constrained hidden Markov models for population-based haplotyping. BMC Bioinform. Niels Landwehr, Taneli Mielikäinen, Lauri Eronen, Hannu Toivonen, Heikki Mannila
2007	J	`jnl`	Integrating Naïve Bayes and FOIL. J. Mach. Learn. Res. Niels Landwehr, Kristian Kersting, Luc De Raedt
2007	A*	`conf`	r-grams: Relational Grams. IJCAI Niels Landwehr, Luc De Raedt
2006	A*	`conf`	kFOIL: Learning Simple Relational Kernels. AAAI Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
2005	J	`jnl`	Logistic Model Trees. Mach. Learn. Niels Landwehr, Mark Hall, Eibe Frank
2005	A*	`conf`	nFOIL: Integrating Naïve Bayes and FOIL. AAAI Niels Landwehr, Kristian Kersting, Luc De Raedt
2003	—	`conf`	Logistic Model Trees. ECML Niels Landwehr, Mark Hall, Eibe Frank
2002	—	`conf`	Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm. Probabilistic Graphical Models Kristian Kersting, Niels Landwehr