Symbolic Regression for Derivation of an Accurate Analytical Formulation Using "Big Data": An Application Example
Applied Computational Electromagnetics Society Journal . May2017, Vol. 32 Issue 5, p372-380. 9p.
Using Genetic Programming for Data Science: Lessons Learned
Genetic Programming Theory and Practice XIII, pp 117-135; DOI 10.1007/978-3-319-34223-8_7
Highly Accurate Symbolic Regression with Noisy Training Data
Genetic Programming Theory and Practice XIII, pp 91-115; DOI 10.1007/978-3-319-34223-8_6
Multi Objective Symbolic Regression
Advances in Computational Intelligence Systems, Volume 513 of the series Advances in Intelligent Systems and Computing pp 481-494; DOI: 10.1007/978-3-319-46562-3_31
Comparison of common parallel architectures for the execution of the island model and the global parallelization of evolutionary algorithms
Concurrency and Computation, Practice and Experience Feb 2016; DOI: 10.1002/cpe.3797
Symbolic Regression
Geospatial Algebraic Computations 2016, pp 203-216
Trading Volatility Using Highly Accurate Symbolic Regression
Handbook of Genetic Programming Applications 2015, pp 531-547
Application of evolutionary algorithm-based symbolic regression to language assessment: Toward nonlinear modeling
Psychological Test and Assessment Modeling, Volume 57, 2015 (3), 301-337
Extremely Accurate Symbolic Regression for Large Feature Problems
Genetic Programming Theory and Practice XII, Genetic and Evolutionary Computation 2015, pp 109-131
Genetic Programming
Springer Handbook of Computational Intelligence 2015, pp 845-869
Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs
Genetic Programming: Lecture Notes in Computer Science, Volume 9025, 2015, pp 113-125
The EvoSpace Model for Pool-Based Evolutionary Algorithms
Journal of Grid Computing, November 2014
Computation and Scientific Discovery? A Bio-inspired Approach
DOI: http://dx.doi.org/10.7551/978-0-262-32621-6-ch146
Software Intensive Science
Philosophy & Technology, May 2014
Learning Dynamical Systems Using Standard Symbolic Regression
INRA UMR 782 GMPA
Fuzzy functions via genetic programming
Journal of Intelligent and Fuzzy Systems, DOI 10.3233/IFS-141205
Improving Genetic Programming Based Symbolic Regression Using Deterministic Machine Learning
Congress on Evolutionary Computation (CEC), 2013 IEEE. Pp 1763-1770.
Learning regression ensembles with genetic programming at scale
In Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference (pp. 1117-1124)
Combining fitness-based search and user modeling in evolutionary robotics.
Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference. ACM, (pp. 159-166), 2013.
Efficient indexing of similarity models with inequality symbolic regression.
Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference. ACM, (pp. 901-908), 2013.
Assessing Consumer Credit Applications by a Genetic Programming Approach.
Advanced Dynamic Modeling of Economic and Social Systems Studies in Computational Intelligence Volume 448, pp 79-89 (2013)
Safe and Interpretable Machine Learning: A Methodological Review
Computational Intelligence in Intelligent Data Analysis: 111-122. (2012)
Knowledge Discovery through Symbolic Regression with HeuristicLab
Machine Learning and Knowledge Discovery in Databases (2012): 824-827.
Software review: the ECJ toolkit
Genetic Programming and Evolvable Machines 13, no. 1 (2012): 65-67.
Automating scientific discovery.
Communications of the ACM 55, no. 5, pp 9-11. (2012)
Genetic programming: a tutorial introduction.
In Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, pp. 693-710. ACM, 2012.
Evolutionary Techniques for Parametric WCET Analysis
In 12th International Workshop on Worst-Case Execution Time Analysis, edited by Tullio Vardanega, p. 103. 2012.
Automated refinement and inference of analytical models for metabolic networks.
Physical biology 8, no. 5 (2011): 055011.
Equity markets and computational intelligence
Computational Intelligence (UKCI), 2010 UK Workshop on. IEEE, 2010.
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