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Janusz Szwabiński
Janusz Szwabiński
Faculty of Pure and Applied Mathematics, Wrocław University of Science and Technology
Verified email at pwr.edu.pl - Homepage
Title
Cited by
Cited by
Year
Objective comparison of methods to decode anomalous diffusion
G Muńoz-Gil, G Volpe, MA Garcia-March, E Aghion, A Argun, CB Hong, ...
Nature communications 12 (1), 6253, 2021
1382021
Classification of diffusion modes in single-particle tracking data: Feature-based versus deep-learning approach
P Kowalek, H Loch-Olszewska, J Szwabiński
Physical Review E 100 (3), 032410, 2019
1052019
Motion of influential players can support cooperation in prisoner’s dilemma
M Droz, J Szwabiński, G Szabó
The European Physical Journal B 71, 579-585, 2009
862009
Classification of particle trajectories in living cells: Machine learning versus statistical testing hypothesis for fractional anomalous diffusion
J Janczura, P Kowalek, H Loch-Olszewska, J Szwabiński, A Weron
Physical Review E 102 (3), 032402, 2020
532020
Is the person-situation debate important for agent-based modeling and vice-versa?
K Sznajd-Weron, J Szwabiński, R Weron
PloS one 9 (11), e112203, 2014
532014
Conformity, anticonformity and polarization of opinions: insights from a mathematical model of opinion dynamics
T Krueger, J Szwabiński, T Weron
Entropy 19 (7), 371, 2017
502017
Rewiring the network. What helps an innovation to diffuse?
K Sznajd-Weron, J Szwabiński, R Weron, T Weron
Journal of Statistical Mechanics: Theory and Experiment 2014 (3), P03007, 2014
372014
The interplay between conformity and anticonformity and its polarizing effect on society
P Siedlecki, J Szwabiński, T Weron
arXiv preprint arXiv:1603.07556, 2016
302016
Impact of feature choice on machine learning classification of fractional anomalous diffusion
H Loch-Olszewska, J Szwabiński
Entropy 22 (12), 1436, 2020
232020
Mapping the q-voter model: From a single chain to complex networks
A Jȩdrzejewski, K Sznajd-Weron, J Szwabiński
Physica A: Statistical Mechanics and its Applications 446, 110-119, 2016
172016
Complex population dynamics as a competition between multiple-time-scale phenomena
I Bena, M Droz, J Szwabiński, A Pȩkalski
Physical Review E 76 (1), 011908, 2007
172007
Extinction risk and structure of a food web model
A Pękalski, J Szwabiński, I Bena, M Droz
Physical Review E 77 (3), 031917, 2008
162008
Effects of random habitat destruction in a predator–prey model
J Szwabiński, A Pe
Physica A: Statistical Mechanics and its Applications 360 (1), 59-70, 2006
152006
Boosting the performance of anomalous diffusion classifiers with the proper choice of features
P Kowalek, H Loch-Olszewska, Ł Łaszczuk, J Opała, J Szwabiński
Journal of Physics A: Mathematical and Theoretical 55 (24), 244005, 2022
142022
Detection of anomalous diffusion with deep residual networks
M Gajowczyk, J Szwabiński
Entropy 23 (6), 649, 2021
102021
Best portfolio management strategies for synthetic and real assets
J Gruszka, J Szwabiński
Physica A: Statistical Mechanics and Its Applications 539, 122938, 2020
102020
Food web model with detritus path
J Szwabinski, A Pekalski, I Bena, M Droz
Physica A: Statistical Mechanics and its Applications 389 (13), 2545-2556, 2010
102010
Machine-learning solutions for the analysis of single-particle diffusion trajectories
H Seckler, J Szwabiński, R Metzler
The Journal of Physical Chemistry Letters 14 (35), 7910-7923, 2023
82023
Attribution markers and data mining in art authentication
BI Łydżba-Kopczyńska, J Szwabiński
Molecules 27 (1), 70, 2021
72021
Dynamics of three types of annual plants competing for water and light
A Pȩkalski, J Szwabiński
Physica A: Statistical Mechanics and its Applications 392 (4), 710-721, 2013
72013
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