Automated Machine Learning with Genetic Programming on Real Dataset of Tax Avoidance Classification Problem
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[1] Ling Shao,et al. Feature Learning for Image Classification Via Multiobjective Genetic Programming , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[2] Ling Shao,et al. Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach , 2016, IEEE Transactions on Cybernetics.
[3] Stephan M. Winkler,et al. Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications , 2009 .
[4] Risto Miikkulainen,et al. Evolving Neural Networks through Augmenting Topologies , 2002, Evolutionary Computation.
[5] J. K. Kinnear,et al. Advances in Genetic Programming , 1994 .
[6] Aaron Klein,et al. Efficient and Robust Automated Machine Learning , 2015, NIPS.
[7] Mark Harman,et al. Ieee Transactions on Evolutionary Computation 1 , 2022 .
[8] Nando de Freitas,et al. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning , 2010, ArXiv.
[9] Shuping Chen,et al. Are Family Firms More Tax Aggressive Than Non-Family Firms? , 2010 .
[10] Bart Baesens,et al. Predicting tax avoidance by means of social network analytics , 2018, Decis. Support Syst..
[11] Lars Kotthoff,et al. Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA , 2017, J. Mach. Learn. Res..