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ORCIDTomasz Schreiber
Person information
- affiliation: Nicolaus Copernicus University in Torun, Poland
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2010 – 2019
- 2012
[c9]Jaroslaw Piersa, Tomasz Schreiber:
Spectra of the Spike-Flow Graphs in Geometrically Embedded Neural Networks. ICAISC (1) 2012: 143-151- [c8]Maja Czoków, Tomasz Schreiber:
Structure Searching for Adaptive Spring Networks for Shape Programming in 3D. ICAISC (2) 2012: 207-215 - [c7]Michal Matuszak, Jacek Miekisz, Tomasz Schreiber:
Solving Ramified Optimal Transport Problem in the Bayesian Influence Diagram Framework. ICAISC (2) 2012: 582-590 - [p1]Michal Matuszak, Tomasz Schreiber:
Locally Specified Polygonal Markov Fields for Image Segmentation. Mathematical Methods for Signal and Image Analysis and Representation 2012: 261-274 - 2011
- [c6]Michal Matuszak, Jacek Miekisz
, Tomasz Schreiber:
Smooth Conditional Transition Paths in Dynamical Gaussian Networks. KI 2011: 204-215 - 2010
- [j2]Jaroslaw Piersa, Filip Piekniewski, Tomasz Schreiber:
Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks. IEEE Trans. Neural Networks 21(11): 1747-1758 (2010) - [c5]Maja Czoków, Tomasz Schreiber:
Adaptive Spring Systems for Shape Programming. ICAISC (2) 2010: 420-427 - [c4]Michal Matuszak, Tomasz Schreiber:
A New Stochastic Algorithm for Strategy Optimisation in Bayesian Influence Diagrams. ICAISC (2) 2010: 574-581
2000 – 2009
- 2008
- [j1]Filip Piekniewski, Tomasz Schreiber:
Spontaneous scale-free structure of spike flow graphs in recurrent neural networks. Neural Networks 21(10): 1530-1536 (2008) - [c3]Tomasz Schreiber:
Keynote speaker. WiOpt 2008: 699 - 2007
- [c2]Filip Piekniewski, Tomasz Schreiber:
Emergence of Scale-free Spike Flow Graphs in Recurrent Neural Networks. FOCI 2007: 357-362 - 2005
- [c1]Rafal Kluszczynski, Marie-Colette van Lieshout, Tomasz Schreiber:
An Algorithm for Binary Image Segmentation Using Polygonal Markov Fields. ICIAP 2005: 383-390
Coauthor Index
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