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Martin Schäfer
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2020 – today
- 2024
- [j14]Benjamin Uhrich
, Nils Pfeifer, Martin Schäfer, Oliver Theile, Erhard Rahm:
Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing. Appl. Intell. 54(6): 4736-4755 (2024) - [c4]Benjamin Uhrich, Tim Häntschel, Martin Schäfer, Erhard Rahm:
Neural Diffusion Graph Convolutional Network for Predicting Heat Transfer in Selective Laser Melting. ISAIM 2024: 150-164 - 2023
- [c3]Markus Bauer, Benjamin Uhrich, Martin Schäfer, Oliver Theile, Christoph Augenstein, Erhard Rahm:
Multi-Modal Artificial Intelligence in Additive Manufacturing: Combining Thermal and Camera Images for 3D-Print Quality Monitoring. ICEIS (1) 2023: 539-546 - 2022
- [j13]Nicolas Nagel
A New Upper Bound for Sampling Numbers. Found. Comput. Math. 22(2): 445-468 (2022) - [i3]Felix Bartel, Martin Schäfer, Tino Ullrich:
Constructive subsampling of finite frames with applications in optimal function recovery. CoRR abs/2202.12625 (2022) - 2021
- [c2]Martin Schäfer, Holger Gauza, Britta Stolterfoht:
Disentangling factors in the placement of manner adverbials in German: the effect of distributional similarity. CogSci 2021 - 2020
- [j12]Hans-Ulrich Klein
Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks. PLoS Comput. Biol. 16(4) (2020) - [i2]Nicolas Nagel, Martin Schäfer, Tino Ullrich:
A new upper bound for sampling numbers. CoRR abs/2010.00327 (2020)
2010 – 2019
- 2019
- [j11]Eva-Maria Huessler
BayMAP: a Bayesian hierarchical model for the analysis of PAR-CLIP data. Bioinform. 35(12): 1992-2000 (2019) - 2017
- [j10]Martin Schäfer
Integrative analysis of multiple genomic variables using a hierarchical Bayesian model. Bioinform. 33(20): 3220-3227 (2017) - 2016
- [j9]Axel Flinth
Multivariate α-molecules. J. Approx. Theory 202: 64-108 (2016) - 2015
- [j8]Martin Schäfer
A Bayesian mixture model to quantify parameters of spatial clustering. Comput. Stat. Data Anal. 92: 163-176 (2015) - [c1]Melanie J. Bell, Martin Schäfer:
Modelling semantic transparency in English compound nouns. NetWordS 2015: 63-65 - 2014
- [j7]Hans-Ulrich Klein
Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models. Bioinform. 30(8): 1154-1162 (2014) - 2013
- [j6]Leo Lahti
Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review. Briefings Bioinform. 14(1): 27-35 (2013) - [p1]A. Kurzmann, Simone Butzer, Stefan Jetschny, A. Przebindowska, Lisa Groos
Acoustic and Elastic Full Waveform Tomography. High Performance Computing in Science and Engineering 2013: 105-122 - 2011
- [i1]Leo Lahti, Martin Schäfer, Hans-Ulrich Klein, Silvio Bicciato, Martin Dugas:
Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review. CoRR abs/1111.4639 (2011)
2000 – 2009
- 2009
- [j5]Martin Schäfer
Integrated analysis of copy number alterations and gene expression: a bivariate assessment of equally directed abnormalities. Bioinform. 25(24): 3228-3235 (2009) - 2002
- [j4]Martin Schäfer, Tim Schönauer, Carsten Wolff
Simulation of spiking neural networks -- architectures and implementations. Neurocomputing 48(1-4): 647-679 (2002) - 2001
- [b1]Martin Schäfer:
Lernen in Neurocomputern für große pulscodierte neuronale Netze. University of Paderborn, Germany, Logos-Verlag 2001, ISBN 978-3-89722-673-9, pp. 1-114
1990 – 1999
- 1999
- [j3]Gerald Frank, Georg Hartmann, Axel Jahnke, Martin Schäfer:
An accelerator for neural networks with pulse-coded model neurons. IEEE Trans. Neural Networks 10(3): 527-538 (1999) - 1997
- [j2]Marco Paluszny, Hartmut Prautzsch, Martin Schäfer:
A geometric look at corner cutting. Comput. Aided Geom. Des. 14(5): 421-447 (1997) - 1994
- [j1]Martin Schäfer:
Exploitation of natural resources and pollution. Ann. Oper. Res. 54(1): 237-262 (1994)
Coauthor Index
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