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Robin Gras - Publications

Affiliations: 
Computer Science University of Windsor, Windsor, Canada 
Area:
Artificial Intelligence
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24 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Scott R, Gras R. A simulation study shows impacts of genetic diversity on establishment success of digital invaders in heterogeneous environments Ecological Modelling. 431: 109173. DOI: 10.1016/J.Ecolmodel.2020.109173  0.395
2019 Bhattacharjee S, MacPherson B, Wang RF, Gras R. Animal communication of fear and safety related to foraging behavior and fitness: An individual-based modeling approach Ecological Informatics. 54: 101011. DOI: 10.1016/J.Ecoinf.2019.101011  0.303
2018 Scott R, MacPherson B, Gras R. A comparison of stable and fluctuating resources with respect to evolutionary adaptation and life-history traits using individual-based modeling and machine learning. Journal of Theoretical Biology. PMID 30243755 DOI: 10.1016/J.Jtbi.2018.09.019  0.348
2017 MacPherson B, Mashayekhi M, Gras R, Scott R. Exploring the connection between emergent animal personality and fitness using a novel individual-based model and decision tree approach Ecological Informatics. 40: 81-92. DOI: 10.1016/J.Ecoinf.2017.06.004  0.39
2016 MacPherson B, Gras R. Individual-based ecological models: Adjunctive tools or experimental systems? Ecological Modelling. 323: 106-114. DOI: 10.1016/J.Ecolmodel.2015.12.013  0.372
2016 Khater M, Murariu D, Gras R. Predation risk tradeoffs in prey: effects on energy and behaviour Theoretical Ecology. 9: 251-268. DOI: 10.1007/S12080-015-0277-5  0.662
2015 Gras R, Golestani A, Hendry AP, Cristescu ME. Speciation without Pre-Defined Fitness Functions. Plos One. 10: e0137838. PMID 26372462 DOI: 10.1371/Journal.Pone.0137838  0.372
2014 Mahayekhi M, Golestani A, Farahani Y, Gras R. n Enhanced Artificial Ecosystem: Investigating Emergence of Ecological Niches Artificial Life. 693-700. DOI: 10.7551/978-0-262-32621-6-Ch111  0.372
2014 Khater M, Murariu D, Gras R. Contemporary evolution and genetic change of prey as a response to predator removal Ecological Informatics. 22: 13-22. DOI: 10.1016/J.Ecoinf.2014.02.005  0.675
2014 Mashayekhi M, MacPherson B, Gras R. A machine learning approach to investigate the reasons behind species extinction Ecological Informatics. 20: 58-66. DOI: 10.1016/J.Ecoinf.2014.02.001  0.408
2014 Mashayekhi M, MacPherson B, Gras R. Species-area relationship and a tentative interpretation of the function coefficients in an ecosystem simulation Ecological Complexity. 19: 84-95. DOI: 10.1016/J.Ecocom.2014.05.011  0.302
2013 Golestani A, Gras R. A new species abundance distribution model based on model combination. The International Journal of Biostatistics. 9. PMID 23898023 DOI: 10.1515/Ijb-2012-0033  0.337
2012 Golestani A, Gras R, Cristescu M. Speciation with gene flow in a heterogeneous virtual world: can physical obstacles accelerate speciation? Proceedings. Biological Sciences / the Royal Society. 279: 3055-64. PMID 22513856 DOI: 10.1098/Rspb.2012.0466  0.382
2012 Scott R, Gras R. Comparing distance-based phylogenetic tree construction methods using an individual-based ecosystem simulation, ecosim Artificial Life 13: Proceedings of the 13th International Conference On the Simulation and Synthesis of Living Systems, Alife 2012. 105-110. DOI: 10.7551/978-0-262-31050-5-Ch015  0.32
2012 Khater M, Salehi E, Gras R. The emergence of new genes in EcoSim and its effect on fitness Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7673: 52-61. DOI: 10.1007/978-3-642-34859-4_6  0.593
2012 Khater M, Gras R. Adaptation and genomic evolution in EcoSim Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7426: 219-229. DOI: 10.1007/978-3-642-33093-3_22  0.315
2012 Salehi E, Gras R. Estimation of Distribution Algorithms in Gene Expression Data Analysis Intelligent Systems Reference Library. 25: 101-121. DOI: 10.1007/978-3-642-23151-3_6  0.503
2011 Salehi E, Gras R. Efficient EDA for large opimization problems via constraining the search space of models Genetic and Evolutionary Computation Conference, Gecco'11 - Companion Publication. 73-74. DOI: 10.1145/2001858.2001901  0.501
2011 Khater M, Salehi E, Gras R. Correlation between genetic diversity and fitness in a predator-prey ecosystem simulation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7106: 422-431. DOI: 10.1007/978-3-642-25832-9_43  0.578
2010 Golestani A, Gras R. Regularity analysis of an individual-based ecosystem simulation. Chaos (Woodbury, N.Y.). 20: 043120. PMID 21198090 DOI: 10.1063/1.3514011  0.343
2010 Devaurs D, Gras R. Species abundance patterns in an ecosystem simulation studied through Fisher's logseries Simulation Modelling Practice and Theory. 18: 100-123. DOI: 10.1016/J.Simpat.2009.09.012  0.373
2010 Yang Q, Salehi E, Gras R. Using feature selection approaches to find the dependent features Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6113: 487-494. DOI: 10.1007/978-3-642-13208-7_61  0.466
2009 Gras R, Devaurs D, Wozniak A, Aspinall A. An individual-based evolving predator-prey ecosystem simulation using a fuzzy cognitive map as the behavior model. Artificial Life. 15: 423-63. PMID 19463060 DOI: 10.1162/Artl.2009.Gras.012  0.418
2003 Gras R, Hernandez D, Hernandez P, Zangger N, Mescam Y, Frey J, Martin O, Nicolas J, Appel RD. Cooperative metaheuristics for exploring proteomic data Artificial Intelligence Review. 20: 95-120. DOI: 10.1023/A:1026080413328  0.344
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