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David Roche A Statistical Framework for Terminating Evolutionary Algorithms at their Steady State 2015 PhD Thesis, Universitat Autonoma de Barcelona-CVC details   openurl
Debora Gil; David Roche; Agnes Borras; Jesus Giraldo Terminating Evolutionary Algorithms at their Steady State 2015 Computational Optimization and Applications 61 489-515 details   doi
David Roche; Debora Gil; Jesus Giraldo Mathematical modeling of G protein-coupled receptor function: What can we learn from empirical and mechanistic models? 2014 G Protein-Coupled Receptors – Modeling and Simulation Advances in Experimental Medicine and Biology 796 159-181 details   doi
David Roche; Debora Gil; Jesus Giraldo Detecting loss of diversity for an efficient termination of EAs 2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing 561 - 566 details   pdf doi
David Roche; Debora Gil; Jesus Giraldo Mechanistic analysis of the function of agonists and allosteric modulators: Reconciling two-state and operational models 2013 British Journal of Pharmacology 169 1189-202 details   doi
David Roche; Debora Gil; Jesus Giraldo Multiple active receptor conformation, agonist efficacy and maximum effect of the system: the conformation-based operational model of agonism, 2013 Drug Discovery Today 18 365-371 details   doi
David Roche; Debora Gil; Jesus Giraldo Assessing agonist efficacy in an uncertain Em world 2012 40th Keystone Symposia on mollecular and celular biology 79 details   pdf url
Aura Hernandez-Sabate; Debora Gil; David Roche; Monica M. S. Matsumoto; Sergio S. Furuie Inferring the Performance of Medical Imaging Algorithms 2011 14th International Conference on Computer Analysis of Images and Patterns 6854 520-528 details   pdf url
David Roche; Debora Gil; Jesus Giraldo Using statistical inference for designing termination conditions ensuring convergence of Evolutionary Algorithms 2011 11th European Conference on Artificial Life details   pdf openurl
David Roche; Debora Gil; Jesus Giraldo An inference model for analyzing termination conditions of Evolutionary Algorithms 2011 14th Congrès Català en Intel·ligencia Artificial 216-225 details   pdf url
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