Publications

Found 134 results
Author Title Type [ Year(Asc)]
Filters: Author is Bernard Manderick  [Clear All Filters]
In Press
Hillewaere, R., Manderick, B., & Conklin, D.. (In Press). Alignment methods for folk tune classification. Post-proceedings of The 36th Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery. Hildesheim, Germany.
2016
Farid, D. Md. (2016). An adaptive rule-based classifier for mining big biological data. (B. Manderick & Nowe, A., M. Abdullah Al-Mamun)Expert Systems with Applications, Elsevier, 64. doi:http://dx.doi.org/10.1016/j.eswa.2016.08.008
Farid, D. Md. (2016). Combining Boosting and Active Learning for Mining Multi-Class Genomic Data. In A. Nowé, B. Manderick, 25th Belgian-Dutch Conference on Machine Learning (Benelearn). presented at the 09/2016, Kortrijk, Belgium.
Farid, D. Md. (2016). An ensemble clustering for mining high-dimensional biological big data. In A. Nowe, B. Manderick, International Conference on Big Data. presented at the 05/2016, Alicante, Spain.
Farid, D. Md. (2016). An ensemble clustering for mining high-dimensional biological big data. (B. Manderick, A. Nowé)International Journal of Design & Nature and Ecodynamics, 11(3).
Farid, D. Md. (2016). Ensemble of trees for classifying high-dimensional imbalanced genomic data. In A. Nowe, B. Manderick, IEEE SAI Intelligent Systems Conference (IntelliSys 2016). presented at the 09/2016, London, UK.
Farid, D. Md. (2016). A Feature Grouping Method for Ensemble Clustering of High-Dimensional Genomic Big Data. In A. Nowé, B. Manderick, IEEE Future Technologies Conference . presented at the 12/2016, San Francisco, United States.
Grau, I., Sengupta, D., Daneels, D., Croes, D., Farid, D. Md., Bonduelle, M., et al.. (2016). Genomic Variant Classifier Tool. In SAI Intelligent Systems Conference 2016. presented at the 09/2016, London, UK.
Farid, D. Md. (2016). A New Data Balancing Method for Classifying Multi-Class Imbalanced Genomic Data. In A. Nowé, B. Manderick, 25th Belgian-Dutch Conference on Machine Learning (Benelearn). presented at the 09/2016, Kortrijk, Belgium.
2014
PDF icon Annealing_Normal_WorkShop.pdf (235.29 KB)
Catteeuw, D., Han, T. A., & Manderick, B.. (2014). Evolution of Honest Signaling by Social Punishment. In C. Igel & Arnold, D. V., Proceedings of the 2014 Genetic and Evolutionary Computation Conference. Vancouver, BC, Canada: ACM Press.
PDF icon camready.pdf (406.89 KB)
PDF icon slides.pdf (106.09 KB)
PDF icon ppsn14-catteeuw.pdf (206.83 KB)
Yahyaa, S. Q., Drugan, M. M., & Manderick, B.. (2014). Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms. In ICAART 2014 : International Conference on Agents and Artificial Intelligence.. presented at the 03/2014.
PDF icon MOMAB-KG.pdf (201.8 KB)
Catteeuw, D., & Manderick, B.. (2014). The Limits and Robustness of Reinforcement Learning in Lewis Signaling Games. Connection Science, 26(2), 177. doi:10.1080/09540091.2014.885303
PDF icon camready.pdf (621.78 KB)
Yahyaa, S. Q., Drugan, M. M., & Manderick, B.. (2014). Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014). presented at the 04/2014.
PDF icon VER3-LSKGinMOMAB-esann.pdf (259.84 KB)
PDF icon IdentifParetoFront_UCB_accept.pdf (420.25 KB)
PDF icon SchemataBandits_seal_v1.pdf (241.09 KB)
PDF icon SchemataBandits.pdf (73.98 KB)
PDF icon SchemataMCTS-2.pdf (3.2 MB)
2013
Catteeuw, D., Manderick, B., & Han, T. A.. (2013). Evolutionary Stability of Honest Signaling in Finite Populations. In Proceedings of the IEEE Congress on Evolutionary Computation. Cancun, Mexico: IEEE Computer Society.
Catteeuw, D., & Manderick, B.. (2013). The Limits of Reinforcement Learning in Lewis Signaling Games. In S. Devlin, Hennes, D., & Howly, E., Proceedings of the 13th Adaptive and Learning Agents workshop. Saint Paul, MN, USA.
PDF icon ala2013.pdf (564.63 KB)
2012
Stadler, K., Wellens, P., & De Beule, J.. (2012). The Combinatorial Naming Game. In B. De Baets, Manderick, B., Rademaker, M., & Waegeman, W., Proceedings of the 21st Belgian-Dutch Conference on Machine Learning (BeneLearn 2012). Ghent, Belgium.
PDF icon Stadler 2012 The Combinatorial Naming Game.pdf (1.36 MB)

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