Abbas Golestani
Cited by
Cited by
Speciation with gene flow in a heterogeneous virtual world: can physical obstacles accelerate speciation?
A Golestani, R Gras, M Cristescu
Proceedings of the Royal Society B: Biological Sciences 279 (1740), 3055-3064, 2012
Can we predict the unpredictable?
A Golestani, R Gras
Scientific reports 4 (1), 6834, 2014
Regularity analysis of an individual-based ecosystem simulation
A Golestani, R Gras
Chaos: An Interdisciplinary Journal of Nonlinear Science 20 (4), 2010
Spread of employee engagement in a large organizational network: a longitudinal analysis
T Mitra, M Muller, NS Shami, A Golestani, M Masli
Proceedings of the ACM on Human-Computer Interaction 1 (CSCW), 1-20, 2017
Speciation without pre-defined fitness functions
R Gras, A Golestani, AP Hendry, ME Cristescu
PLoS One 10 (9), e0137838, 2015
A new multi-objective evolutionary approach for creating ensemble of classifiers
K Ahmadian, A Golestani, N Mozayani, P Kabiri
2007 IEEE International Conference on Systems, Man and Cybernetics, 1031-1036, 2007
Evolving ensemble of classifiers in low-dimensional spaces using multi-objective evolutionary approach
K Ahmadian, A Golestani, M Analoui, MR Jahed
6th IEEE/ACIS International Conference on Computer and Information Science …, 2007
Real-time prediction of employee engagement using social media and text mining
A Golestani, M Masli, NS Shami, J Jones, A Menon, J Mondal
2018 17th IEEE international conference on machine learning and applications …, 2018
A new criterion to distinguish stochastic and deterministic time series with the Poincaré section and fractal dimension
A Golestani, MR Jahed Motlagh, K Ahmadian, AH Omidvarnia, ...
Chaos: An Interdisciplinary Journal of Nonlinear Science 19 (1), 2009
Multifractal phenomena in EcoSim, a large scale individual-based ecosystem simulation
A Golestani, R Gras
Proceedings on the International Conference on Artificial Intelligence (ICAI), 1, 2011
A novel adaptive-boost-based strategy for combining classifiers using diversity concept
A Golestani, K Ahmadian, A Amiri, MRJ Motlagh
6th IEEE/ACIS International Conference on Computer and Information Science …, 2007
Identifying origin of self-similarity in EcoSim, an individual-based ecosystem simulation, using wavelet-based multifractal analysis
A Golestani, R Gras
Proceedings of the world congress on engineering and computer science 2 …, 2012
EcoSim: an individual-based platform for studying evolution
R Gras, A Golestani, M Hosseini Sedehi, M Khater, Y Majdabadi Farahani, ...
Artificial Life Conference Proceedings 23, 45, 2011
A new efficient fuzzy diversity measure in classifier fusion
A Golestani, J Azimi, M Analoui, M Kangavari
Proceedings of the IADIS Conference, 722-726, 2007
n Enhanced Artificial Ecosystem: Investigating Emergence of Ecological Niches
M Mahayekhi, A Golestani, Y Farahani, R Gras
Artificial Life Conference Proceedings, 693-700, 2014
Complexity and chaos analysis of a predator-prey ecosystem simulation
YM Farahani, A Golestani, R Gras
Second Int. Conf. on Advanced Cognitive Technology and Applications …, 2010
Irregularity Analysis of Iris Patterns.
A Golestani, A Ashouri, K Ahmadian, MR Jahed-Motlagh, MA Doostari
IPCV 8, 691-695, 2008
A new species abundance distribution model based on model combination
A Golestani, R Gras
The International Journal of Biostatistics 9 (1), 33-48, 2013
Using Machine Learning Techniques for Identifying Important Characteristics to Predict Changes in Species Richness in Ecosim, an Individual-Based Ecosystem Simulation
A Golestani, R Gras
Proceedings of the World Congress on Engineering and Computer Science, San …, 2012
Individual-Based Modeling and Nonlinear Analysis for Complex Systems with Application to Theoretical Ecology
A Ghadri Golestani
University of Windsor, 2014
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