Dániel Czégel
Dániel Czégel
Unknown affiliation
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Random walk hierarchy measure: What is more hierarchical, a chain, a tree or a star?
D Czégel, G Palla
Scientific reports 5 (1), 1-14, 2015
282015
Phase space volume scaling of generalized entropies and anomalous diffusion scaling governed by corresponding non-linear Fokker-Planck equations
D Czégel, SG Balogh, P Pollner, G Palla
Scientific reports 8 (1), 1-8, 2018
82018
Generalized entropies, density of states, and non-extensivity
SG Balogh, G Palla, P Pollner, D Czégel
Scientific reports 10 (1), 1-12, 2020
42020
Multilevel selection as Bayesian inference, major transitions in individuality as structure learning
D Czégel, I Zachar, E Szathmáry
Royal Society open science 6 (8), 190202, 2019
42019
One problem, too many solutions: How costly is honest signalling of need?
S Számadó, D Czégel, I Zachar
PloS one 14 (1), e0208443, 2019
22019
Major evolutionary transitions as Bayesian structure learning
D Czégel, I Zachar, E Szathmáry
bioRxiv, 359596, 2018
12018
Darwinian dynamics over recurrent neural computations for combinatorial problem solving
D Czégel, H Giaffar, M Csillag, B Futó, E Szathmáry
bioRxiv, 2020
2020
Constructing Graphs from Genetic Encodings
DL Barabasi, D Czegel
bioRxiv, 2020
2020
Evolutionary implementation of Bayesian computations
D Czégel, H Giaffar, I Zachar, E Szathmáry
bioRxiv, 685842, 2019
2019
How many causal pathways must symptoms form before we call them a borderline? A hierarchical network model of borderline personality disorder
Z Unoka, MJ Richman, D Czégel
PsyArXiv, 2018
2018
On the shape of semantic space-what can we infer from large-scale statistical properties of texts?
D Czégel
CSIC-UIB-Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), 2017
2017
Relation between morphological and associative structure of Hungarian words
D Czégel, Z Lengyel, C Pléh
Italian journal of linguistics 28 (1), 7-24, 2016
2016
Mental lexicon: two sides of hierarchical organization from big data
A Szanto, J Venczeli, D Kovacs, L Kovacs, C Pleh, D Czegel
Statistical associative structure changes with age
D Czegel, C Pleh
Unsupervised learning of morphology: how to measure unpredictability?
A Horvath, D Czegel, C Oravecz, C Pleh
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Articles 1–15