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Stefan Posch
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- affiliation: Martin Luther University of Halle-Wittenberg, Germany
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2020 – today
- 2025
- [j20]Franz M. Rohrhofer
, Stefan Posch, Clemens Gößnitzer
, Bernhard C. Geiger:
Approximating families of sharp solutions to Fisher's equation with physics-informed neural networks. Comput. Phys. Commun. 307: 109422 (2025) - 2024
- [i6]Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger:
Approximating Families of Sharp Solutions to Fisher's Equation with Physics-Informed Neural Networks. CoRR abs/2402.08313 (2024) - 2023
- [j19]Franz M. Rohrhofer
, Stefan Posch
, Clemens Gößnitzer
, Bernhard C. Geiger
:
Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks. IEEE Access 11: 86252-86261 (2023) - [j18]Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger:
On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [d1]Jakob Möderl
, Stefan Posch, Franz Pernkopf
, Klaus Witrisal
:
UWBCarGraz Dataset. TU Graz Repo, 2023 - [i5]Stefan Posch, Clemens Gößnitzer
, Franz M. Rohrhofer, Bernhard C. Geiger, Andreas Wimmer:
Finding the Optimum Design of Large Gas Engines Prechambers Using CFD and Bayesian Optimization. CoRR abs/2308.01743 (2023) - [i4]Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer
, José M. García-Oliver, Bernhard C. Geiger:
Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes. CoRR abs/2308.01954 (2023) - 2022
- [j17]Achilles Kefalas
, Andreas B. Ofner
, Gerhard Pirker, Stefan Posch
, Bernhard C. Geiger
, Andreas Wimmer:
Estimation of Combustion Parameters from Engine Vibrations Based on Discrete Wavelet Transform and Gradient Boosting. Sensors 22(11): 4235 (2022) - [i3]Andreas B. Ofner, Achilles Kefalas, Stefan Posch, Bernhard C. Geiger:
Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach. CoRR abs/2201.06990 (2022) - [i2]Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer
, Bernhard C. Geiger:
Understanding the Difficulty of Training Physics-Informed Neural Networks on Dynamical Systems. CoRR abs/2203.13648 (2022) - 2021
- [c59]Birgit Möller, Berit Schreck, Stefan Posch:
Analysis of Arabidopsis Root Images - Studies on CNNs and Skeleton-Based Root Topology. ICCVW 2021: 1294-1302 - [i1]Franz M. Rohrhofer, Stefan Posch, Bernhard C. Geiger:
On the Pareto Front of Physics-Informed Neural Networks. CoRR abs/2105.00862 (2021)
2010 – 2019
- 2019
- [j16]Christoph Ruttkies
, Steffen Neumann, Stefan Posch:
Improving MetFrag with statistical learning of fragment annotations. BMC Bioinform. 20(1): 376:1-376:14 (2019) - 2015
- [j15]Martin Nettling, Hendrik Treutler
, Jan Grau, Jens Keilwagen
, Stefan Posch, Ivo Grosse:
DiffLogo: a comparative visualization of sequence motifs. BMC Bioinform. 16: 387:1-387:9 (2015) - 2014
- [c58]Jan Grau, Stefan Posch, Ivo Grosse, Jens Keilwagen:
A general approach for discriminative de novo motif discovery from high-throughput data. GCB 2014: 41-43 - 2013
- [j14]Jan Grau, Jens Boch, Stefan Posch:
TALENoffer: genome-wide TALEN off-target prediction. Bioinform. 29(22): 2931-2932 (2013) - [j13]Jan Grau, Jens Keilwagen
, André Gohr
, Ivan A. Paponov
, Stefan Posch, Michael Seifert, Marc Strickert, Ivo Grosse:
Dispom: a Discriminative de-novo Motif Discovery Tool Based on the Jstacs Library. J. Bioinform. Comput. Biol. 11(1) (2013) - [j12]Jan Grau, Annett Wolf, Maik Reschke, Ulla Bonas, Stefan Posch, Jens Boch:
Computational Predictions Provide Insights into the Biology of TAL Effector Target Sites. PLoS Comput. Biol. 9(3) (2013) - [c57]Armagan Elibol
, Stefan Posch, Andreas Maurer, Klaus Pillen
, Birgit Möller:
Vision-Based 3D-Reconstruction of Barley Plants. IbPRIA 2013: 406-415 - [c56]Birgit Möller, Stefan Posch:
A Framework Unifying the Development of Image Analysis Algorithms and Associated User Interfaces. MVA 2013: 447-450 - 2012
- [j11]Jan Grau, Jens Keilwagen, André Gohr, Berit Haldemann, Stefan Posch, Ivo Grosse:
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences. J. Mach. Learn. Res. 13: 1967-1971 (2012) - [j10]Markus Glaß
, Birgit Möller, Anne Zirkel, Kristin Wächter, Stefan Hüttelmaier, Stefan Posch:
Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines. Pattern Recognit. 45(9): 3154-3165 (2012) - [c55]Oliver Greß, Stefan Posch:
Model Dependency of RBMCDA for Tracking Multiple Targets in Fluorescence Microscopy. Bildverarbeitung für die Medizin 2012: 249-255 - [c54]Oliver Greß, Stefan Posch:
Trajectory retrieval from Monte Carlo data association samples for tracking in fluorescence microscopy images. ISBI 2012: 374-377 - [c53]Birgit Möller, Stefan Posch:
Comparing active contours for the segmentation of biomedical images. ISBI 2012: 736-739 - [c52]Oliver Greß, Stefan Posch:
Parametric Data Association Prior for Multi-target Tracking based on Rao-Blackwellized Monte Carlo Data Association. VISAPP (2) 2012: 387-394 - 2011
- [j9]Jens Keilwagen
, Jan Grau, Ivan A. Paponov
, Stefan Posch, Marc Strickert, Ivo Grosse:
De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference. PLoS Comput. Biol. 7(2) (2011) - [c51]Markus Glaß
, Birgit Möller, Anne Zirkel, Kristin Wächter, Stefan Hüttelmaier, Stefan Posch:
Scratch Assay Analysis with Topology-Preserving Level Sets and Texture Measures. IbPRIA 2011: 100-108 - [c50]Birgit Möller, Oliver Greß, Stefan Posch:
Knowing What Happened - Automatic Documentation of Image Analysis Processes. ICVS 2011: 1-10 - 2010
- [j8]Jens Keilwagen
, Jan Grau, Stefan Posch, Marc Strickert, Ivo Grosse:
Unifying generative and discriminative learning principles. BMC Bioinform. 11: 98 (2010) - [j7]Jens Keilwagen
, Jan Grau, Stefan Posch, Ivo Grosse:
Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis. BMC Bioinform. 11: 149 (2010) - [c49]Oliver Greß, Birgit Möller, Nadine Stöhr, Stefan Hüttelmaier, Stefan Posch:
Scale-adaptive Wavelet-based Particle Detection in Microscopy Images. Bildverarbeitung für die Medizin 2010: 266-270 - [c48]Jan Grau, Daniel Arend, Ivo Grosse, Artemis G. Hatzigeorgiou, Jens Keilwagen, Manolis Maragkakis, Claus Weinholdt, Stefan Posch:
Predicting miRNA targets utilizing an Extended Profile HMM. GCB 2010: 81-91 - [c47]Birgit Möller, Nadine Stöhr, Stefan Hüttelmaier, Stefan Posch:
Cascaded Segmentation of Grained Cell Tissue with Active Contour Models. ICPR 2010: 1481-1484 - [c46]Birgit Möller, Oliver Greß, Nadine Stöhr, Stefan Hüttelmaier, Stefan Posch:
Adaptive Segmentation of Cells and Particles in Fluorescent Microscope Images. VISAPP (2) 2010: 97-106 - [c45]Birgit Möller, Oliver Greß, Nadine Stöhr, Stefan Hüttelmaier, Stefan Posch:
Adaptive Segmentation of Particles and Cells for Fluorescent Microscope Imaging. VISIGRAPP (Selected Papers) 2010: 154-169
2000 – 2009
- 2009
- [c44]Danny Misiak
, Stefan Posch, Nadine Stöhr, Stefan Hüttelmaier, Birgit Möller:
Automatic analysis of flourescence labeled neurites in microscope images. WACV 2009: 1-7 - [e2]Ivo Grosse, Steffen Neumann, Stefan Posch, Falk Schreiber, Peter F. Stadler:
German Conference on Bioinformatics 2009, 28th to 30th September 2009, Martin Luther University Halle-Wittenberg, Germany. LNI P-157, GI 2009, ISBN 978-3-88579-251-2 [contents] - 2008
- [j6]Jörg Wensch, Alf Gerisch
, Stefan Posch:
Optimised coupling of hierarchies in image registration. Image Vis. Comput. 26(7): 1000-1011 (2008) - [c43]Birgit Möller, Oliver Gress, Stefan Posch:
A Comparative Study of Robust Feature Detectors for 2D Electrophoresis Gel Image Registration. German Conference on Bioinformatics 2008: 138-147 - 2007
- [j5]Stefan Posch, Jan Grau, André Gohr
, Irad E. Ben-Gal, Alexander E. Kel, Ivo Grosse:
Recognition of cis-Regulatory Elements with Vombat. J. Bioinform. Comput. Biol. 5(2b): 561-577 (2007) - [c42]Birgit Möller, Stefan Posch:
Identifying Lens Distortions in Image Registration by Learning from Examples. BMVC 2007: 1-10 - [c41]Jan Grau, Jens Keilwagen, Alexander E. Kel, Ivo Grosse, Stefan Posch:
Supervised Posteriors for DNA-motif Classification. German Conference on Bioinformatics 2007: 123-134 - [c40]Alexander Hinneburg, Ralf Klinkenberg, Ingo Mierswa, Stefan Posch, Steffen Neumann:
Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics. LWA 2007: 12 - [c39]Jan Grau, Jens Keilwagen, Ivo Grosse, Stefan Posch:
On the relevance of model orders to discriminative learning of Markov models. LWA 2007: 61-66 - [c38]Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse:
Recognition of splice sites using maximum conditional likelihood. LWA 2007: 67-72 - [c37]Birgit Möller, Rafael García, Stefan Posch:
Towards objective quality assessment of image registration results. VISAPP (1) 2007: 233-242 - 2006
- [j4]Jan Grau, Irad E. Ben-Gal, Stefan Posch, Ivo Grosse:
VOMBAT: prediction of transcription factor binding sites using variable order Bayesian trees. Nucleic Acids Res. 34(Web-Server-Issue): 529-533 (2006) - [c36]Lennart Opitz, Alexander Schliep
, Stefan Posch:
Joint Analysis of In-situ Hybridization and Gene Expression Data. GfKl 2006: 577-584 - [c35]Birgit Möller, Stefan Posch:
A space- and time-efficient mosaic-based iconic memory for interactive systems. VISAPP (1) 2006: 413-421 - 2005
- [j3]Irad E. Ben-Gal, Ayala Shani, André Gohr
, Jan Grau, S. Arviv, Armin Shmilovici
, Stefan Posch, Ivo Grosse:
Identification of transcription factor binding sites with variable-order Bayesian networks. Bioinform. 21(11): 2657-2666 (2005) - [c34]Birgit Möller, Stefan Posch, Axel Haasch, Jannik Fritsch, Gerhard Sagerer:
Interactive object learning for robot companions using mosaic images. IROS 2005: 2650-2655 - 2003
- [c33]Denis Williams, Birgit Möller, Stefan Posch:
Integrated System for a Visual Memory Based on Mosaics. CISST 2003: 633-639 - [c32]Birgit Möller, Denis Williams, Stefan Posch:
Robust Image Sequence Mosaicing. DAGM-Symposium 2003: 386-393 - [c31]Gregor Erz, Stefan Posch:
A Region Based Seed Detection for Root Detection in Minirhizotron Images. DAGM-Symposium 2003: 482-489 - 2002
- [c30]Jörg Weitzenberg, Stefan Posch, Manfred Rost:
Analysis of Amperometric Biosensor Curves Using Hidden-Markov-Modells. DAGM-Symposium 2002: 182-189 - [c29]Birgit Möller, Stefan Posch:
Analysis of Object Interactions in Dynamic Scenes. DAGM-Symposium 2002: 361-369 - 2001
- [c28]Birgit Möller, Stefan Posch:
Detection and Tracking of Moving Objects for Mosaic Image Generation. DAGM-Symposium 2001: 208-215 - 2000
- [c27]Denis Williams, Stefan Posch:
Stereozuordnung von hierarchischen Konturgruppen mit Markov Random Fields. DAGM-Symposium 2000: 9-16 - [c26]Jörg Weitzenberg, Stefan Posch, Manfred Rost:
Diskrete Hidden Markov Modelle zur Analyse von Meßkurven amperometrischer Biosensoren. DAGM-Symposium 2000: 317-324 - [c25]Daniel Schlüter, Sven Wachsmuth, Gerhard Sagerer, Stefan Posch:
Towards an Integrated Framework for Contour-Based Grouping and Object Recognition Using Markov Random Fields. ICIP 2000: 100-103 - [c24]Daniel Schlüter, Franz Kummert, Gerhard Sagerer, Stefan Posch:
Integration of Regions and Contours for Object Recognition. ICPR 2000: 1944-1947
1990 – 1999
- 1999
- [c23]Steffen Neumann, Stefan Posch, Gerhard Sagerer:
Towards Evaluation of Docking Hypotheses using elastic Matching. German Conference on Bioinformatics 1999: 220-221 - 1998
- [j2]Friedrich Ackermann, Grit Herrmann, Stefan Posch, Gerhard Sagerer:
Estimation and filtering of potential protein-protein docking positions. Bioinform. 14(2): 196-205 (1998) - [c22]Daniel Schlüter, Stefan Posch:
Combining Contour and Region Information for Perceptual Grouping. DAGM-Symposium 1998: 393-401 - 1997
- [c21]Thorsten Bomberg, Stefan Posch:
Regionensegmentierung von Farbbildfolgen. DAGM-Symposium 1997: 63-70 - [c20]Grit Herrmann, Franz Kummert, Stefan Posch, Gerhard Sagerer:
Bewertungsmaße für ein wissensbasiertes System zur makromolekularen Erkennung. DAGM-Symposium 1997: 602-609 - [c19]A. Mabbmann, Stefan Posch, Gerhard Sagerer, Daniel Schlüter:
Using Markov Random Fields for Contour-Based Grouping. ICIP (2) 1997: 207-210 - 1996
- [c18]Friedrich Ackermann, Grit Herrmann, Stefan Posch, Gerhard Sagerer:
Evaluierung eines Protein-Dockingsystems durch Leave-One-Out-Test. DAGM-Symposium 1996: 130-137 - [c17]Anke Maßmann, Stefan Posch, Daniel Schlüter:
Perzeptives Gruppieren von Ko- und Kurvilinearitäten mittels Markov Random Fields. DAGM-Symposium 1996: 235-242 - [c16]R. Biermann, Friedrich Ackermann, Stefan Posch:
Robustness of Geometrical Shape Descriptors for Molecular Surfaces. German Conference on Bioinformatics 1996: 171-173 - [c15]Grit Herrmann, A. Möller, Stefan Posch:
Statistical Segmentation of Molecular Surfaces. German Conference on Bioinformatics 1996: 218-220 - 1995
- [c14]Gudrun Socher, Torsten Merz, Stefan Posch:
3-D Reconstruction and Camera Calibration from Images with Known Objects. BMVC 1995: 1-10 - [c13]M. Jankowski, Siegmar-Walter Breckle, Stefan Posch, Gerhard Sagerer, Maik Veste
:
Automatische Detektion von Wurzelsystemen in Minirhizotron-Bildern. DAGM-Symposium 1995: 176-185 - [c12]Gudrun Socher
, Torsten Merz, Stefan Posch:
Ellipsenbasierte 3-D Rekonstruktion. DAGM-Symposium 1995: 252-259 - [c11]Anke Maßmann, Stefan Posch:
Bereiche Perzeptiver Aufmerksamkeit für konturbasierte Gruppierungen. DAGM-Symposium 1995: 602-609 - [c10]R. Meier, Friedrich Ackermann, Grit Herrmann, Stefan Posch, Gerhard Sagerer:
Segmentation of molecular surfaces based on their convex hull. ICIP (3) 1995: 552-555 - [c9]Christoph Schillo, Grit Herrmann, Friedrich Ackermann, Stefan Posch, Gerhard Sagerer:
Statistical classification and segmentation of biomolecular surfaces. ICIP (3) 1995: 560-563 - [c8]Friedrich Ackermann, Grit Herrmann, Franz Kummert, Stefan Posch, Gerhard Sagerer, Dietmar Schomburg:
Protein Docking: Combining Symbolic Descriptions of Molecular Surfaces and Grid-Based Scoring Functions. ISMB 1995: 3-11 - [e1]Gerhard Sagerer, Stefan Posch, Franz Kummert:
Mustererkennung 1995, 17. DAGM-Symposium, Bielefeld, 13.-15. September 1995, Proceedings. Informatik Aktuell, Springer 1995, ISBN 3-540-60293-3 [contents] - 1993
- [c7]Franz Kummert, Enno Littmann, A. Meyering, Stefan Posch, Helge J. Ritter, Gerhard Sagerer:
A Hybrid Approach to Signal Interpretation Using Neuronal and Semantic Networks. DAGM-Symposium 1993: 245-252 - [c6]Thomas Fuhr, Franz Kummert, Stefan Posch, Gerhard Sagerer:
An Approach for Qualitatively Predicting Relations from Relations. SCAI 1993: 38-49 - 1992
- [c5]Stefan Posch:
Stereozuordnung mit geraden Liniensegmenten und Polygonen. DAGM-Symposium 1992: 385-391 - [c4]Stefan Posch:
Detecting skewed symmetries. ICPR (3) 1992: 602-606 - 1990
- [b1]Stefan Posch:
Automatische Tiefenbestimmung aus Grauwertstereobildern. University of Erlangen-Nuremberg, Germany, 1990, ISBN 978-3-8244-2013-1, pp. 1-163 - [c3]Stefan Posch:
Parallel Implementierung eines hierarchischen linienbasierten Stereoverfahrens. DAGM-Symposium 1990: 356-363
1980 – 1989
- 1988
- [j1]Heinrich Niemann, Astrid Brietzmann, Ute Ehrlich, Stefan Posch, Peter Regel, Gerhard Sagerer, Richard Salzbrunn, Ernst Günter Schukat-Talamazzini:
A Knowledge Based speech Understanding System. Int. J. Pattern Recognit. Artif. Intell. 2(2): 321-350 (1988) - [c2]Stefan Posch:
Hierarchische linienbasierte Tiefenbestimmung in einem Stereobild. GWAI 1988: 275-285 - 1986
- [c1]Astrid Brietzmann, Stefan Posch:
Suchstrategien zur syntaktischen Analyse in der automatischen Spracherkennung. DAGM-Symposium 1986: 139-143
Coauthor Index

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