Publications

Found 114 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.
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)
Catteeuw, D., & Manderick, B.. (2012). Honest Signaling: Learning Dynamics versus Evolutionary Stability. In B. De Baets, Manderick, B., Rademaker, M., & Waegeman, W., Proceedings of the 21st Belgian-Dutch Conference on Machine Learning. Ghent, Belgium.
Catteeuw, D., & Manderick, B.. (2012). Honest Signaling: Learning Dynamics versus Evolutionary Stability. In B. De Baets, Manderick, B., Rademaker, M., & Waegeman, W., Proceedings of the 21st Belgian-Dutch Conference on Machine Learning. Ghent, Belgium.
Hillewaere, R., Manderick, B., & Conklin, D.. (2012). String methods for folk tune genre classification. Proceedings of the 13th International Society for Music Information Retrieval Conference. Porto, Portugal.
PDF icon string-methods.pdf (79.76 KB)
2011
Catteeuw, D., & Manderick, B.. (2011). Heterogeneous Populations of Learning Agents in the Minority Game. Adaptive and Learning Agents, LNCS, 7113, 100–113.
Catteeuw, D., & Manderick, B.. (2011). Learning in Minority Games with Multiple Resources. In G. Kampis, Karsai, I., & Szathmáry, E., Advances in Artificial Life, revised selected papers of the European Conference on Artificial Life, LNAI 5778 (pp. 326–333). Budapest, Hungary: Springer.
Chen, Y., Liu, F., & Manderick, B.. (2011). A machine learning–based system to normalise gene mentions to unique database identifiers. International journal of data mining and bioinformatics, 5, 640–660.
Catteeuw, D., De Beule, J., & Manderick, B.. (2011). Roth-Erev Learning in Signaling and Language Games. In P. De Causmaecker, Maervoet, J., Messelis, T., Verbeeck, K., & Vermeulen, T., Proceedings of the 23rd Benelux Conference on Artificial Intelligence (pp. 65–74). Ghent, Belgium.
PDF icon bnaic2011_submission_62.pdf (865.81 KB)
2010
Taminau, J., Hillewaere, R., Meganck, S., Conklin, D., Nowé, A., & Manderick, B.. (2010). Applying subgroup discovery for the analysis of string quartet movements. In Proceedings of 3rd international workshop on Machine learning and music (pp. 29–32). Firenze, Italy: ACM.
Chen, Y., Liu, F., & Manderick, B.. (2010). BioLMiner System: Interaction Normalization Task and Interaction Pair Task in the BioCreative II. 5 Challenge. Computational Biology and Bioinformatics, IEEE/ACM Transactions on, 7, 428–441.
Hillewaere, R., Manderick, B., & Conklin, D.. (2010). String quartet classification with monophonic models. Proceedings of ISMIR, Utrecht, the Netherlands.
2009
Meganck, S., Leray, P., & Manderick, B.. (2009). Causal discovery in non-ideal frameworks. Extended abstracts of the International Multidisciplinary Workshop on Causality.
Taminau, J., Hillewaere, R., Meganck, S., Conklin, D., Nowé, A., & Manderick, B.. (2009). Descriptive Mining of Folk Music: A testcase. In Proceedings of the 21st Benelux Conference on Artificial Intelligence (BNAIC 2009).
Taminau, J., Hillewaere, R., Meganck, S., Conklin, D., Nowé, A., & Manderick, B.. (2009). Descriptive subgroup mining of folk music. Second International Workshop on Machine Learning and Music, 1–6.
Hillewaere, R., Manderick, B., & Conklin, D.. (2009). Global feature versus event models for folk song classification. ISMIR 2009: 10th International Society for Music Information Retrieval Conference. Kobe, Japan.
Catteeuw, D., & Manderick, B.. (2009). Learning in the time-dependent minority game. In Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers (pp. 2011–2016). ACM.
Hillewaere, R., Manderick, B., & Conklin, D.. (2009). Melodic models for polyphonic music classification. Second International Workshop on Machine Learning and Music.

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