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Items where Author is "Duangsoithong, R"

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Number of items: 9.

Article

Duangsoithong, R, Phukpattaranont, P and Windeatt, T (2013) Bootstrap Causal Feature Selection for irrelevant feature elimination BMEiCON 2013 - 6th Biomedical Engineering International Conference.

Windeatt, T, Duangsoithong, R and Smith, R (2011) Embedded feature ranking for ensemble MLP classifiers IEEE Transactions on Neural Networks, 22 (6). pp. 988-994.

Duangsoithong, R and Windeatt, T (2011) Hybrid correlation and causal feature selection for ensemble classifiers Studies in Computational Intelligence, 373. pp. 97-115.

Duangsoithong, R and Windeatt, T (2010) Bootstrap feature selection for ensemble classifiers Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6171 L. pp. 28-41.

Conference or Workshop Item

Limshuebchuey, Asavaron, Duangsoithong, Rakkrit and Windeatt, Terry (2016) Redundant feature identification and redundancy analysis for causal feature selection In: 2015 8th Biomedical Engineering International Conference (BMEiCON), 25-27 November 2015, Pattaya, Thailand.

Duangsoithong, R, Windeatt, T, Schwenker, F and ElGayar, N (2010) Correlation-Based and Causal Feature Selection Analysis for Ensemble Classifiers In: 4th Workshop on Artificial Neural Networks in Pattern Recognition, 2010-04-11 - 2010-04-13, Cairo, EGYPT.

Duangsoithong, R and Windeatt, T (2009) Relevance and Redundancy Analysis for Ensemble Classifiers In: 6th International Conference on Machine Learning and Data Mining in Pattern Recognition, 2009-07-23 - 2009-07-25, Leipzig, GERMANY.

Duangsoithong, R and Windeatt, T (2009) Relevant and Redundant Feature Analysis with Ensemble Classification In: 7th International Conference on Advances in Pattern Recognition, 2009-02-04 - 2009-02-06, Indian Statist Inst, Kolkata, INDIA.

Thesis

Duangsoithong, Rakkrit. (2012) Feature Selection and Casual Discovery For Ensemble Classifiers. Doctoral thesis, University of Surrey (United Kingdom)..

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