Found 219 results
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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. (B. Manderick, A. Nowé)International Journal of Design & Nature and Ecodynamics, 11(3).
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)
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.
Sengupta, D., Croes, D., Kapoor, S., Van Dooren, S., Bonduelle, M., & Nowé, A.. (2015). CliniPhenome: Clinical and Phenotypic Annotation Database. 2nd International Conference on Health Informatics and Technology. presented at the 07/2015, Valencia, Spain: J Health Med Informat. doi:10.4172/2157-7420.S1.006
PDF icon CliniPhenome_Sengupta-JHMI.pdf (294.32 KB)
PDF icon BeMGI2015-Sengupta.pdf (821.32 KB)
Soares, I. Brito, De Hauwere, Y. - M., Januarius, K., Brys, T., Salvant, T., & Nowé, A.. (2015). Departure MANagement with a Reinforcement Learning Approach: Respecting CFMU Slots. In IEEE 18th International Intelligent Transportation Systems Conference. Las Palmas de Gran Canaria: IEEE.
PDF icon 6596b169.pdf (16.48 MB)
Grau, I., Daneels, D., Farid, D. Md., Croes, D., Bonduelle, M., Van Dooren, S., et al.. (2015). GEVACT : GENOMIC VARIANT CLASSIFIER TOOL. In 10th Benelux Bioinformatics Conference. presented at the 07/2015. doi:10.13140/RG.2.1.5020.0406
PDF icon BBC2015_GeVaCT.pdf (1.13 MB)
Adriaensen, S., Fathy, Y., & Nowé, A.. (2015). On Task Scheduling Policies for Work-stealing Schedulers. In Proceedings of the Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA).
PDF icon mista2015_ea2.pdf (216.03 KB)
Brys, T., Van Moffaert, K., Nowé, A., & Taylor, M. E.. (2014). Adaptive Objective Selection for Correlated Objectives in Multi-Objective Reinforcement Learning. In 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014).
PDF icon 2014AAMAS.pdf (182.14 KB)
Brys, T., Nowé, A., Kudenko, D., & Taylor, M. E.. (2014). Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence. In Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14).
PDF icon aos6.pdf (529.66 KB)
Van Moffaert, K., Drugan, M. M., & Nowé, A.. (2014). Learning Sets of Pareto Optimal Policies. In Thirteenth International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning Agents Workshop (ALA). presented at the May.