Jan M. Baetens

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 34

Top Topics

Dynamical Model

Cellular Automata

Gaussian Kernels

Top Venues

J. Cell. Autom.

Publications

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 (2024)
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 (2024)
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) (2024)
Tijs W. Alleman, Christian V. Stevens, Jan M. Baetens
pySODM: Simulating and optimizing dynamical models in Python 3. J. Comput. Sci. 73 (2023)
Milan Vispoel, Aisling J. Daly, Jan M. Baetens
Lyapunov Profiles of Three-State Totalistic Cellular Automata. ACRI (2022)
Aisling J. Daly, Lander De Visscher, Jan M. Baetens, Bernard De Baets
Quo vadis, agent-based modelling tools? Environ. Model. Softw. 157 (2022)
Adam Dzedzej, Barbara Wolnik, Anna Nenca, Jan M. Baetens, Bernard De Baets
Two-dimensional rotation-symmetric number-conserving cellular automata. Inf. Sci. 577 (2021)
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)
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 (2020)
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 (2020)
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) (2020)
Jan M. Baetens, Martin Kutrib
Preface. Nat. Comput. 19 (4) (2020)
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)
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) (2019)
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) (2019)
Jan M. Baetens, Janko Gravner
Introducing Lyapunov Profiles of Cellular Automata. J. Cell. Autom. 13 (3) (2018)
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)
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) (2018)
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) (2018)
Witold Bolt, Aleksander Bolt, Barbara Wolnik, Jan M. Baetens, Bernard De Baets
A Statistical Approach to the Identification of Diploid Cellular Automata. TPNC (2017)
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) (2017)
Jan M. Baetens, Bernard De Baets
A Spatial Sensitivity Analysis of a Spatially Explicit Model for Myxomatosis in Belgium. ACRI (2016)
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. (2016)
Jan M. Baetens, Wouter Van der Meeren, Bernard De Baets
On the Dynamics of Stochastic Elementary Cellular Automata. J. Cell. Autom. 12 (1-2) (2016)
Jan M. Baetens, Janko Gravner
Stability of Cellular Automata Trajectories Revisited: Branching Walks and Lyapunov Profiles. J. Nonlinear Sci. 26 (5) (2016)
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)
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 (2015)
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) (2015)
Witold Bolt, Jan M. Baetens, Bernard De Baets
On the decomposition of stochastic cellular automata. CoRR (2015)
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 (2015)
Witold Bolt, Jan M. Baetens, Bernard De Baets
An evolutionary approach to the identification of Cellular Automata based on partial observations. CoRR (2015)
Jan M. Baetens, Bernard De Baets
A Behavioral Analysis of Cellular Automata. PaCT (2015)
Witold Bolt, Jan M. Baetens, Bernard De Baets
On the decomposition of stochastic cellular automata. J. Comput. Sci. 11 (2015)
Witold Bolt, Jan M. Baetens, Bernard De Baets
An evolutionary approach to the identification of Cellular Automata based on partial observations. CEC (2015)
Jan M. Baetens, Bernard De Baets
Towards a Comprehensive Understanding of Multi-state Cellular Automata. ACRI (2014)
Wouter Van der Meeren, Jan M. Baetens, Bernard De Baets
Lyapunov Exponents of One-Dimensional, Binary Stochastic Cellular Automata. ACRI (2014)
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) (2013)
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 (2013)
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)
Jan M. Baetens, Bernard De Baets
Topological Perturbations and Their Effect on the Dynamics of Totalistic Cellular Automata. ACRI (2012)
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) (2011)
Jan M. Baetens, Bernard De Baets
Tracking Uncertainty in a Spatially Explicit Susceptible-Infected Epidemic Model. ACRI (2010)
Jan M. Baetens, Bernard De Baets
Towards Generalized Measures Grasping CA Dynamics. ACRI (2010)
Jan M. Baetens, Bernard De Baets
Continuous cellular automata on irregular tessellations: Mimicking steady-state heat flow. NaBIC (2010)
Jan M. Baetens, Bernard De Baets
Incorporating Fuzziness in Spatial Susceptible-Infected Epidemic Models. IFSA/EUSFLAT Conf. (2009)