Publications

Found 863 results
Author Title Type [ Year(Asc)]
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.
2017
Van Eecke, P., & Beuls, K.. (2017). Meta-Layer Problem Solving for Computational Construction Grammar. The AAAI 2017 Spring Symposium Series. AAAI Press.
PDF icon 2017-aaai.pdf (1.65 MB)
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.
Marques, T., & Beuls, K.. (2016). A Construction Grammar Approach to Pronominal Clitics in European Portuguese. In Computational Processing of the Portuguese Language. Springer.
PDF icon duration_abstract_evolang_final.pdf (72.99 KB)
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). 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). 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.
Verstraeten, T., Vrancx, P., & Nowé, A.. (2016). Fleet Reinforcement Learning Using Dependent Gaussian Processes. In Learning, Inference and Control of Multi-Agent Systems.
PDF icon fleet_rl.pdf (190.58 KB)
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.
Daneels, D., Grau, I., Sengupta, D., Bonduelle, M., Farid, D. Md., Nowé, A., & Van Dooren, S.. (2016). GEVACT : GENOMIC VARIANT CLASSIFIER TOOL. First Joint Meeting BeSHG / NVHG - Genetics & Society . presented at the 02/2016.
PDF icon GeVaCT_BeSGH - Feb 2016.pdf (398 KB)
PDF icon Benelearn_2016_paper_45_Grau.pdf (216.94 KB)
Verstraeten, T., Rădulescu, R., Jadoul, Y., Jaspers, T., Conjaerts, R., Brys, T., et al.. (2016). Human Guided Ensemble Learning in StarCraft. 16th Adaptive and Learning Agents Workshop (ALA 2016).
PDF icon paper.pdf (1.01 MB)
Rădulescu, R., & Beuls, K.. (2016). Modelling pronominal gender agreement in Dutch: From a syntactic to a semantic strategy. Belgian Journal of Linguistics, 30(1), 219-250. presented at the 12/2016. doi:http://dx.doi.org/10.1075/bjl.30.10rad
PDF icon morl_corrected.pdf (33.49 MB)
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.
PDF icon reinforcement_learning_from_heuristics.pdf (4.95 MB)
Adrian, K., Bilgin, A., & Van Eecke, P.. (2016). A Semantic Distance based Architecture for a Guesser Agent in ESSENCE's Location Taboo Challenge. In Diversity @ ECAI International Workshop on Diversity-Aware Artificial Intelligence.
2015
Van Eecke, P. (2015). Achieving Robustness through the Integration of Language Production in Comprehension. Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science. CEUR Workshop Proceedings.
PDF icon 2015-cogsci.pdf (216.93 KB)

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