Christopher R. Stephens

Orcid: 0000-0002-2491-606X

According to our database1, Christopher R. Stephens authored at least 57 papers between 1997 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Heuristics as Decision-making Habits of Autonomous Sensorimotor Agents.
Proceedings of the 2019 Conference on Artificial Life, 2019

Poverty and Its Relation to Crime and the Environment: Applying Spatial Data Mining to Enhance Evidence-Based Policy.
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019

Bayesian Classification of Personal Histories - An application to the Obesity Epidemic.
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019

2018
When is the Naive Bayes approximation not so naive?
Mach. Learn., 2018

2017
Bayesian Inference of Ecological Interactions from Spatial Data.
Entropy, 2017

Risk Factors Linked to Influenza-like Illness as Identified from the Mexican Participatory Surveillance System: Risk Factors in ILI.
Proceedings of the 2017 International Conference on Digital Health, 2017

Data Mining and Time-Series Analysis as Two Complementary Approaches to Study Body Temperature in Obesity.
Proceedings of the 2017 International Conference on Digital Health, 2017

2015
Crime Data Mining: Combining Socio-economic and Spatial Analysis.
Res. Comput. Sci., 2015

Una Generalización del Clasificador Naive Bayes para Usarse en Bases de Datos con Dependencia de Variables.
Res. Comput. Sci., 2015

Fitness Landscape epistasis and Recombination.
Adv. Complex Syst., 2015

NLP Methodology as Guidance and Verification of the Data Mining of Survey ENSANUT 2012.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

Applying Data Mining Techniques to Identify Success Factors in Students Enrolled in Distance Learning: A Case Study.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

Why the Naive Bayes approximation is not as Naive as it appears.
Proceedings of the 6th International Conference on Information, 2015

2014
Risk factors and prediction of very short term versus short/intermediate term post-stroke mortality: A data mining approach.
Comput. Biol. Medicine, 2014

Taming the Complexity of Natural and Artificial Evolutionary Dynamics.
Proceedings of the Evolution, Complexity and Artificial Life, 2014

2013
Crowdsourced risk factors of influenza-like-illness in Mexico.
Proceedings of the 22nd International World Wide Web Conference, 2013

Self-organization Promotes the Evolution of Cooperation with Cultural Propagation.
Proceedings of the Self-Organizing Systems - 7th IFIP TC 6 International Workshop, 2013

2012
Develando estrategias de mercado: minería de datos aplicada al análisis de mercados financieros.
Computación y Sistemas, 2012

2011
Approximating Mexican highways with slime mould.
Nat. Comput., 2011

2010
Why recombination should be adaptive.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Limitations of Existing Mutation Rate Heuristics and How a Rank GA Overcomes Them.
IEEE Trans. Evol. Comput., 2009

Systematic Approximations for Genetic Dynamics.
Adv. Complex Syst., 2009

An Analysis of Recombination in Some Simple Landscapes.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

Building Blocks and Search.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

2008
Rank based variation operators for genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Coarse-Grained Dynamics for Generalized Recombination.
IEEE Trans. Evol. Comput., 2007

Understanding the Biases of Generalised Recombination: Part II.
Evol. Comput., 2007

Covariant Genetic Dynamics.
Evol. Comput., 2007

Just What Are Building Blocks?
Proceedings of the Foundations of Genetic Algorithms, 9th International Workshop, 2007

Continuous Optimisation Theory Made Easy? Finite-Element Models of Evolutionary Strategies, Genetic Algorithms and Particle Swarm Optimizers.
Proceedings of the Foundations of Genetic Algorithms, 9th International Workshop, 2007

2006
Understanding the Biases of Generalised Recombination: Part I.
Evol. Comput., 2006

"Optimal" mutation rates for genetic search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005
Predicting healthcare costs using GAs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Perturbation Theory and the Renormalization Group in Genetic Dynamics.
Proceedings of the Foundations of Genetic Algorithms, 8th International Workshop, 2005

Zero Is ot a Four Letter Word: Studies in the Evolution of Language.
Proceedings of the Genetic Programming, 8th European Conference, 2005

Coarse graining in an evolutionary algorithm with recombination, duplication and inversion.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Theoretical analysis of generalised recombination.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Adaptation in the Presence of Exogeneous Information in an Artificial Financial Market.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

An Estimation of Distribution Algorithm Based on Maximum Entropy.
Proceedings of the Genetic and Evolutionary Computation, 2004

Predicting Healthcare Costs Using Classifiers.
Proceedings of the Genetic and Evolutionary Computation, 2004

What Basis for Genetic Dynamics?
Proceedings of the Genetic and Evolutionary Computation, 2004

Constrained Molecular Dynamics as a Search and Optimization Tool.
Proceedings of the Genetic Programming, 7th European Conference, 2004

2003
Análisis de Mercados Financieros utilizando Técnicas de Inteligencia Artificial.
Computación y Sistemas, 2003

EC Theory: A Unified Viewpoint.
Proceedings of the Genetic and Evolutionary Computation, 2003

Coarse-Graining in Genetic Algorithms: Some Issues and Examples.
Proceedings of the Genetic and Evolutionary Computation, 2003

2002
A Fixed Point Analysis Of A Gene Pool GA With Mutation.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Exact Results From A Coarse Grained Formulation Of The Dynamics Of Variable-length Genetic Algorithms.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

On The Search Biases Of Homologuous Crossover In Linear Genetic Programming And Variable-length Genetic Algorithms.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Bistability in a Gene Pool GA with Mutation.
Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, 2002

A Schema-Theory-Based Extension of Geiringer's Theorem for Linear GP and Varialbe-length GAs under Homologous Crossover.
Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, 2002

Allele Diffusion in Linear Genetic Programming and Variable-Length Genetic Algorithms with Subtree Crossover.
Proceedings of the Genetic Programming, 5th European Conference, 2002

2001
Effective Fitness as an Alternative Paradigm for Evolutionary Computation II: Examples and Applications.
Genet. Program. Evolvable Mach., 2001

2000
Effective Fitness as an Alternative Paradigm for Evolutionary Computation I: General Formalism.
Genet. Program. Evolvable Mach., 2000

1999
Schemata Evolution and Building Blocks.
Evol. Comput., 1999

1998
Self-Adaptation in Evolving Systems.
Artif. Life, 1998

Schemata as Building Blocks: Does Size Matter?
Proceedings of the Fifth Workshop on Foundations of Genetic Algorithms, 1998

1997
Effective Degrees of Freedom in Genetic Algorithms and the Block Hypothesis.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997


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