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ORCIDJan M. Baetens
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2020 – today
- 2025
[j26]Michiel Rollier
, Kallil M. C. Zielinski, Aisling J. Daly, Odemir M. Bruno, Jan M. Baetens:
A comprehensive taxonomy of cellular automata. Commun. Nonlinear Sci. Numer. Simul. 140: 108362 (2025)- 2024
- [j25]Luan Carlos de Sena Monteiro Ozelim, André Luís Brasil Cavalcante, Todd Rowland, Jan M. Baetens:
An Alternative Representation of Turing Machines by Means of the Iota-Delta Function. Complex Syst. 32(4): 381-393 (2024) - [j24]Lander De Visscher, Bernard De Baets, Jan M. Baetens:
A critical review of common pitfalls and guidelines to effectively infer parameters of agent-based models using Approximate Bayesian Computation. Environ. Model. Softw. 172: 105905 (2024) - [c17]Michiel Rollier, Aisling J. Daly, Odemir M. Bruno, Jan M. Baetens:
Efficient Simulation of Non-uniform Cellular Automata with a Convolutional Neural Network. ACRI 2024: 121-131 - [e2]Franco Bagnoli, Jan M. Baetens, Stefania Bandini, Tommaso Matteuzzi:
Cellular Automata - 16th International Conference on Cellular Automata for Research and Industry, ACRI 2024, Florence, Italy, September 9-11, 2024, Proceedings. Lecture Notes in Computer Science 14978, Springer 2024, ISBN 978-3-031-71551-8 [contents] - [i5]Tijs W. Alleman, Jan M. Baetens:
Assessing the impact of forced and voluntary behavioral changes on economic-epidemiological co-dynamics: A comparative case study between Belgium and Sweden during the 2020 COVID-19 pandemic. CoRR abs/2401.08442 (2024) - [i4]Michiel Rollier, Aisling J. Daly, Jan M. Baetens:
Convolutional Neural Networks for Automated Cellular Automaton Classification. CoRR abs/2409.02740 (2024) - 2023
- [j23]Tijs W. Alleman, Christian V. Stevens, Jan M. Baetens:
pySODM: Simulating and optimizing dynamical models in Python 3. J. Comput. Sci. 73: 102148 (2023) - 2022
- [j22]Aisling J. Daly, Lander De Visscher, Jan M. Baetens, Bernard De Baets:
Quo vadis, agent-based modelling tools? Environ. Model. Softw. 157: 105514 (2022) - [c16]Milan Vispoel, Aisling J. Daly, Jan M. Baetens:
Lyapunov Profiles of Three-State Totalistic Cellular Automata. ACRI 2022: 106-115 - 2021
- [j21]Adam Dzedzej, Barbara Wolnik, Anna Nenca, Jan M. Baetens, Bernard De Baets:
Two-dimensional rotation-symmetric number-conserving cellular automata. Inf. Sci. 577: 599-621 (2021) - 2020
- [j20]Stijn Bruneel, Pieterjan Verhelst, Jan Reubens, Jan M. Baetens, Johan Coeck, Tom Moens, Peter L. M. Goethals:
Quantifying and reducing epistemic uncertainty of passive acoustic telemetry data from longitudinal aquatic systems. Ecol. Informatics 59: 101133 (2020) - [j19]Adam Dzedzej, Barbara Wolnik, Anna Nenca, Jan M. Baetens, Bernard De Baets:
Efficient enumeration of three-state two-dimensional number-conserving cellular automata. Inf. Comput. 274: 104534 (2020) - [j18]Jan M. Baetens, Martin Kutrib:
Preface. Nat. Comput. 19(4): 757-758 (2020) - [j17]Witold Bolt, Jan M. Baetens, Bernard De Baets:
Identification of Cellular Automata Based on Incomplete Observations With Bounded Time Gaps. IEEE Trans. Cybern. 50(3): 971-984 (2020) - [c15]Gisele Helena Barboni Miranda, Jan M. Baetens, Aisling J. Daly, Odemir M. Bruno, Bernard De Baets:
Influence of Topology on the Dynamics of in Silico Ecosystems with Non-hierarchical Competition. ACRI 2020: 113-122
2010 – 2019
- 2019
- [j16]Witold Bolt, Aleksander Bolt, Barbara Wolnik, Jan M. Baetens, Bernard De Baets:
A statistical approach to the identification of diploid cellular automata based on incomplete observations. Biosyst. 186 (2019) - [j15]Marcin Dembowski, Barbara Wolnik, Witold Bolt, Jan M. Baetens, Bernard De Baets:
Two-dimensional Affine Continuous Cellular Automata Solving the Relaxed Density Classification Problem. J. Cell. Autom. 14(3-4): 191-212 (2019) - [j14]Aisling J. Daly, Ward Quaghebeur, Tim Depraetere, Jan M. Baetens, Bernard De Baets:
Lattice-based versus lattice-free individual-based models: impact on coexistence in competitive communities. Nat. Comput. 18(4): 855-864 (2019) - 2018
- [j13]Jan M. Baetens, Janko Gravner:
Introducing Lyapunov Profiles of Cellular Automata. J. Cell. Autom. 13(3): 267-286 (2018) - [j12]Antoni Augustynowicz, Jan M. Baetens, Bernard De Baets, Adam Dzedzej, Anna Nenca, Barbara Wolnik:
A Note on the Reversibility of 2D Cellular Automata on Hexagonal Grids. J. Cell. Autom. 13(5-6): 521-525 (2018) - [j11]Marcin Dembowski, Barbara Wolnik, Witold Bolt, Jan M. Baetens, Bernard De Baets:
Affine continuous cellular automata solving the fixed-length density classification problem. Nat. Comput. 17(3): 467-477 (2018) - [c14]Aisling J. Daly, Ward Quaghebeur, Tim Depraetere, Jan M. Baetens, Bernard De Baets:
Coexistence in Three-Species Cyclic Competition: Lattice-Based Versus Lattice-Free Individual-Based Models. ACRI 2018: 115-124 - [e1]Jan M. Baetens, Martin Kutrib:
Cellular Automata and Discrete Complex Systems - 24th IFIP WG 1.5 International Workshop, AUTOMATA 2018, Ghent, Belgium, June 20-22, 2018, Proceedings. Lecture Notes in Computer Science 10875, Springer 2018, ISBN 978-3-319-92674-2 [contents] - 2017
- [j10]Luan Carlos de Sena Monteiro Ozelim, André Luís B. Cavalcante, Jan M. Baetens:
On the iota-delta function: a link between cellular automata and partial differential equations for modeling advection-dispersion from a constant source. J. Supercomput. 73(2): 700-712 (2017) - [c13]Witold Bolt, Aleksander Bolt, Barbara Wolnik, Jan M. Baetens, Bernard De Baets:
A Statistical Approach to the Identification of Diploid Cellular Automata. TPNC 2017: 37-48 - 2016
- [j9]Núbia Rosa da Silva, Jan M. Baetens, Marcos William da Silva Oliveira, Bernard De Baets, Odemir Martinez Bruno:
Classification of cellular automata through texture analysis. Inf. Sci. 370-371: 33-49 (2016) - [j8]Jan M. Baetens, Wouter Van der Meeren, Bernard De Baets:
On the Dynamics of Stochastic Elementary Cellular Automata. J. Cell. Autom. 12(1-2): 63-80 (2016) - [j7]Jan M. Baetens, Janko Gravner:
Stability of Cellular Automata Trajectories Revisited: Branching Walks and Lyapunov Profiles. J. Nonlinear Sci. 26(5): 1329-1367 (2016) - [c12]Barbara Wolnik, Marcin Dembowski, Witold Bolt, Jan M. Baetens, Bernard De Baets:
The Density Classification Problem in the Context of Continuous Cellular Automata. ACRI 2016: 79-87 - [c11]Jan M. Baetens, Bernard De Baets:
A Spatial Sensitivity Analysis of a Spatially Explicit Model for Myxomatosis in Belgium. ACRI 2016: 91-100 - [p1]Witold Bolt, Barbara Wolnik, Jan M. Baetens, Bernard De Baets:
On the Identification of α-Asynchronous Cellular Automata in the Case of Partial Observations with Spatially Separated Gaps. Challenging Problems and Solutions in Intelligent Systems 2016: 23-36 - 2015
- [j6]Jeaneth Machicao, Jan M. Baetens, Anderson G. Marco, Bernard De Baets, Odemir M. Bruno:
A dynamical systems approach to the discrimination of the modes of operation of cryptographic systems. Commun. Nonlinear Sci. Numer. Simul. 29(Issues): 102-115 (2015) - [j5]Witold Bolt, Jan M. Baetens, Bernard De Baets:
On the decomposition of stochastic cellular automata. J. Comput. Sci. 11: 245-257 (2015) - [j4]Carlos Lopez-Molina, Guillermo Vidal-Diez de Ulzurrun, Jan M. Baetens, J. Van den Bulcke, Bernard De Baets:
Unsupervised ridge detection using second order anisotropic Gaussian kernels. Signal Process. 116: 55-67 (2015) - [c10]Witold Bolt, Jan M. Baetens, Bernard De Baets:
An evolutionary approach to the identification of Cellular Automata based on partial observations. CEC 2015: 2966-2972 - [c9]Jan M. Baetens, Bernard De Baets:
A Behavioral Analysis of Cellular Automata. PaCT 2015: 123-134 - [i3]Witold Bolt, Jan M. Baetens, Bernard De Baets:
On the decomposition of stochastic cellular automata. CoRR abs/1503.03318 (2015) - [i2]Jeaneth Machicao, Jan M. Baetens, Anderson G. Marco, Bernard De Baets, Odemir M. Bruno:
A dynamical systems approach to the discrimination of the modes of operation of cryptographic systems. CoRR abs/1504.02549 (2015) - [i1]Witold Bolt, Jan M. Baetens, Bernard De Baets:
An evolutionary approach to the identification of Cellular Automata based on partial observations. CoRR abs/1508.05752 (2015) - 2014
- [c8]Jan M. Baetens, Bernard De Baets:
Towards a Comprehensive Understanding of Multi-state Cellular Automata. ACRI 2014: 16-24 - [c7]Wouter Van der Meeren, Jan M. Baetens, Bernard De Baets:
Lyapunov Exponents of One-Dimensional, Binary Stochastic Cellular Automata. ACRI 2014: 96-104 - 2013
- [j3]Jan M. Baetens, Karel De Loof, Bernard De Baets:
Influence of the topology of a cellular automaton on its dynamical properties. Commun. Nonlinear Sci. Numer. Simul. 18(3): 651-668 (2013) - [j2]Ine S. Pauwels, Ans M. Mouton, Jan M. Baetens, Steffie Van Nieuland, Bernard De Baets, Peter L. M. Goethals:
Modelling a pike (Esox lucius) population in a lowland river using a cellular automaton. Ecol. Informatics 17: 46-57 (2013) - 2012
- [b1]Jan M. Baetens:
Discrete spatio-temporal modelling paradigms for environmental processes: SWOT analysis, application portfolio and Lyapunovian stability analysis. Ghent University, Belgium, 2012 - [c6]Jan M. Baetens, Bernard De Baets:
Topological Perturbations and Their Effect on the Dynamics of Totalistic Cellular Automata. ACRI 2012: 1-10 - [c5]Steffie Van Nieuland, Jan M. Baetens, Ine S. Pauwels, Bernard De Baets, Ans M. Mouton, Peter L. M. Goethals:
A Spatially Explicit Migration Model for Pike. ACRI 2012: 763-767 - 2011
- [j1]Pieter Van der Weeën, Jan M. Baetens, Bernard De Baets:
Design and parameterization of a stochastic cellular automaton describing a chemical reaction. J. Comput. Chem. 32(9): 1952-1961 (2011) - 2010
- [c4]Jan M. Baetens, Bernard De Baets:
Tracking Uncertainty in a Spatially Explicit Susceptible-Infected Epidemic Model. ACRI 2010: 95-105 - [c3]Jan M. Baetens, Bernard De Baets:
Towards Generalized Measures Grasping CA Dynamics. ACRI 2010: 177-187 - [c2]Jan M. Baetens, Bernard De Baets:
Continuous cellular automata on irregular tessellations: Mimicking steady-state heat flow. NaBIC 2010: 53-59
2000 – 2009
- 2009
- [c1]Jan M. Baetens, Bernard De Baets:
Incorporating Fuzziness in Spatial Susceptible-Infected Epidemic Models. IFSA/EUSFLAT Conf. 2009: 201-206
Coauthor Index
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