Martin Schäfer

26 papers B 1Misc 1Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Besov regularity of multivariate non-periodic functions in terms of half-period cosine coefficients and consequences for recovery and numerical integration. CoRR Martin Schäfer, Tino Ullrich
2025	J	`jnl`	Beyond Tchakaloff Quadrature: Positive Functionals, Frames and Widths. CoRR Martin Schäfer, Tino Ullrich
2024	J	`jnl`	Exact discretization, tight frames and recovery via D-optimal designs. CoRR Felix Bartel, Lutz Kämmerer, Kateryna Pozharska, Martin Schäfer, Tino Ullrich
2024	Misc	`conf`	Neural Diffusion Graph Convolutional Network for Predicting Heat Transfer in Selective Laser Melting. ISAIM Benjamin Uhrich, Tim Häntschel, Martin Schäfer, Erhard Rahm
2024	J	`jnl`	Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing. Appl. Intell. Benjamin Uhrich, Nils Pfeifer, Martin Schäfer, Oliver Theile, Erhard Rahm
2023	—	`conf`	Multi-Modal Artificial Intelligence in Additive Manufacturing: Combining Thermal and Camera Images for 3D-Print Quality Monitoring. ICEIS (1) Markus Bauer, Benjamin Uhrich, Martin Schäfer, Oliver Theile, Christoph Augenstein, Erhard Rahm
2022	J	`jnl`	A New Upper Bound for Sampling Numbers. Found. Comput. Math. Nicolas Nagel, Martin Schäfer, Tino Ullrich
2022	J	`jnl`	Constructive subsampling of finite frames with applications in optimal function recovery. CoRR Felix Bartel, Martin Schäfer, Tino Ullrich
2021	B	`conf`	Disentangling factors in the placement of manner adverbials in German: the effect of distributional similarity. CogSci Martin Schäfer, Holger Gauza, Britta Stolterfoht
2020	J	`jnl`	A new upper bound for sampling numbers. CoRR Nicolas Nagel, Martin Schäfer, Tino Ullrich
2020	J	`jnl`	Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks. PLoS Comput. Biol. Hans-Ulrich Klein, Martin Schäfer, David A. Bennett, Holger Schwender, Philip L. De Jager
2019	J	`jnl`	BayMAP: a Bayesian hierarchical model for the analysis of PAR-CLIP data. Bioinform. Eva-Maria Huessler, Martin Schäfer, Holger Schwender, Pablo Landgraf
2017	J	`jnl`	Integrative analysis of multiple genomic variables using a hierarchical Bayesian model. Bioinform. Martin Schäfer, Hans-Ulrich Klein, Holger Schwender
2016	J	`jnl`	Multivariate α-molecules. J. Approx. Theory Axel Flinth, Martin Schäfer
2015	J	`jnl`	A Bayesian mixture model to quantify parameters of spatial clustering. Comput. Stat. Data Anal. Martin Schäfer, Yvonne Radon, Thomas Klein, Sabrina Herrmann, Holger Schwender, Peter J. Verveer, Katja Ickstadt
2015	—	`conf`	Modelling semantic transparency in English compound nouns. NetWordS Melanie J. Bell, Martin Schäfer
2014	J	`jnl`	Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models. Bioinform. Hans-Ulrich Klein, Martin Schäfer, Bo T. Porse, Marie S. Hasemann, Katja Ickstadt, Martin Dugas
2013	—	`ch.`	Acoustic and Elastic Full Waveform Tomography. High Performance Computing in Science and Engineering A. Kurzmann, Simone Butzer, Stefan Jetschny, A. Przebindowska, Lisa Groos, Martin Schäfer, Sven Heider, Thomas Bohlen
2013	J	`jnl`	Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review. Briefings Bioinform. Leo Lahti, Martin Schäfer, Hans-Ulrich Klein, Silvio Bicciato, Martin Dugas
2011	J	`jnl`	Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review CoRR Leo Lahti, Martin Schäfer, Hans-Ulrich Klein, Silvio Bicciato, Martin Dugas
2009	J	`jnl`	Integrated analysis of copy number alterations and gene expression: a bivariate assessment of equally directed abnormalities. Bioinform. Martin Schäfer, Holger Schwender, Sylvia Merk, Claudia Haferlach, Katja Ickstadt, Martin Dugas
2002	J	`jnl`	Simulation of spiking neural networks -- architectures and implementations. Neurocomputing Martin Schäfer, Tim Schönauer, Carsten Wolff, Georg Hartmann, Heinrich Klar, Ulrich Rückert
2001	—	`—`	Lernen in Neurocomputern für große pulscodierte neuronale Netze. Martin Schäfer
1999	J	`jnl`	An accelerator for neural networks with pulse-coded model neurons. IEEE Trans. Neural Networks Gerald Frank, Georg Hartmann, Axel Jahnke, Martin Schäfer
1997	J	`jnl`	A geometric look at corner cutting. Comput. Aided Geom. Des. Marco Paluszny, Hartmut Prautzsch, Martin Schäfer
1994	J	`jnl`	Exploitation of natural resources and pollution. Ann. Oper. Res. Martin Schäfer