Paweł Dłotko
Paweł Dłotko
Dioscuri Centre in Topological Data Analysis, Institute of Mathematics, Polish Academy of Sciences
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Cited by
Cited by
Cliques of neurons bound into cavities provide a missing link between structure and function
MW Reimann, M Nolte, M Scolamiero, K Turner, R Perin, G Chindemi, ...
Frontiers in computational neuroscience 11, 48, 2017
Quantifying similarity of pore-geometry in nanoporous materials
Y Lee, SD Barthel, P Dłotko, SM Moosavi, K Hess, B Smit
Nature communications 8 (1), 1-8, 2017
A persistence landscapes toolbox for topological statistics
P Bubenik, P Dłotko
Journal of Symbolic Computation 78, 91-114, 2017
A topological representation of branching neuronal morphologies
L Kanari, P Dłotko, M Scolamiero, R Levi, J Shillcock, K Hess, H Markram
Neuroinformatics 16, 3-13, 2018
High-throughput screening approach for nanoporous materials genome using topological data analysis: application to zeolites
Y Lee, SD Barthel, P Dłotko, SM Moosavi, K Hess, B Smit
Journal of chemical theory and computation 14 (8), 4427-4437, 2018
Distributed computation of coverage in sensor networks by homological methods
P Dłotko, R Ghrist, M Juda, M Mrozek
Applicable Algebra in Engineering, Communication and Computing 23, 29-58, 2012
Computational topology in text mining
H Wagner, P Dłotko, M Mrozek
Computational Topology in Image Context: 4th International Workshop, CTIC …, 2012
Simplification of complexes for persistent homology computations
P Dłotko, H Wagner
Homology, Homotopy and Applications 16 (1), 49-63, 2014
The efficiency of a homology algorithm based on discrete Morse theory and coreductions
S Harker, K Mischaikow, M Mrozek, V Nanda, H Wagner, M Juda, ...
Image-A: Applicable Mathematics in Image Engineering, 1 (1), 41-48, 2010
Coreduction homology algorithm for regular CW-complexes
P Dłotko, T Kaczynski, M Mrozek, T Wanner
Discrete & Computational Geometry 46, 361-388, 2011
Topological data analysis: concepts, computation, and applications in chemical engineering
AD Smith, P Dłotko, VM Zavala
Computers & Chemical Engineering 146, 107202, 2021
Refining understanding of corporate failure through a topological data analysis mapping of Altman’s Z-score model
W Qiu, S Rudkin, P Dłotko
Expert Systems with Applications 156, 113475, 2020
Physics inspired algorithms for (co) homology computations of three-dimensional combinatorial manifolds with boundary
P Dłotko, R Specogna
Computer Physics Communications 184 (10), 2257-2266, 2013
Efficient cohomology computation for electromagnetic modeling
P Dlotko, R Specogna
Computer Modeling in Engineering & Sciences 60 (3), 247-278, 2010
A boundary integral method for computing eddy currents in thin conductors of arbitrary topology
P Bettini, R Specogna
IEEE Transactions on Magnetics 51 (3), 1-4, 2015
Automatic generation of cuts on large-sized meshes for the T–Ω geometric eddy-current formulation
P Dłotko, R Specogna, F Trevisan
Computer Methods in Applied Mechanics and Engineering 198 (47-48), 3765-3781, 2009
Topological microstructure analysis using persistence landscapes
P Dłotko, T Wanner
Physica D: Nonlinear Phenomena 334, 60-81, 2016
Computing fundamental groups from point clouds
P Brendel, P Dłotko, G Ellis, M Juda, M Mrozek
Applicable Algebra in Engineering, Communication and Computing 26 (1), 27-48, 2015
Persistence codebooks for topological data analysis
B Zieliński, M Lipiński, M Juda, M Zeppelzauer, P Dłotko
Artificial Intelligence Review 54, 1969-2009, 2021
Cohomology in 3D magneto-quasistatics modeling
P Dłotko, R Specogna
Communications in Computational Physics 14 (1), 48-76, 2013
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