CliniPhenome: a clinical and phenotypic data warehouse. BeMGI 2016. presented at the 04/2016.. (2016).
Combining Boosting and Active Learning for Mining Multi-Class Genomic Data. In , 25th Belgian-Dutch Conference on Machine Learning (Benelearn). presented at the 09/2016, Kortrijk, Belgium.. (2016).
An ensemble clustering for mining high-dimensional biological big data. ( )International Journal of Design & Nature and Ecodynamics, 11(3).. (2016).
A Feature Grouping Method for Ensemble Clustering of High-Dimensional Genomic Big Data. In , IEEE Future Technologies Conference . presented at the 12/2016, San Francisco, United States.. (2016).
Fleet Reinforcement Learning Using Dependent Gaussian Processes. In Learning, Inference and Control of Multi-Agent Systems.. (2016).
Genomic Variant Classifier Tool. In SAI Intelligent Systems Conference 2016. presented at the 09/2016, London, UK.. (2016).
GEVACT : GENOMIC VARIANT CLASSIFIER TOOL. First Joint Meeting BeSHG / NVHG - Genetics & Society . presented at the 02/2016.. (2016).
Grey-Box Model: An ensemble approach for addressing semi-supervised classication problems. In BENELEARN 2016. presented at the 09/2016, KULAK, Kortrijk, Belgium .. (2016).
Human Guided Ensemble Learning in StarCraft. 16th Adaptive and Learning Agents Workshop (ALA 2016).. (2016).
A New Data Balancing Method for Classifying Multi-Class Imbalanced Genomic Data. In , 25th Belgian-Dutch Conference on Machine Learning (Benelearn). presented at the 09/2016, Kortrijk, Belgium.. (2016).
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. (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.. (2015).
GEVACT : GENOMIC VARIANT CLASSIFIER TOOL. In 10th Benelux Bioinformatics Conference. presented at the 07/2015. doi:10.13140/RG.2.1.5020.0406. (2015).
On Task Scheduling Policies for Work-stealing Schedulers. In Proceedings of the Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA).. (2015).
Adaptive Objective Selection for Correlated Objectives in Multi-Objective Reinforcement Learning. In 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014).. (2014).
Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence. In Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14).. (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.. (2014).
Multi-Objective X-Armed Bandits. In In Proceedings of the 2014 IEEE World Congress on Computational Intelligence. presented at the July.. (2014).
Multi-Objectivization of Reinforcement Learning Problems by Reward Shaping. In International Joint Conference on Neural Networks.. (2014).
A Novel Adaptive Weight Selection Algorithm for Multi-Objective Multi-Agent Reinforcement Learning. In In Proceedings of the 2014 IEEE World Congress on Computational Intelligence. presented at the July.. (2014).
On the Behaviour of Scalarization Methods for the Engagement of a Wet Clutch. In Proceedings of the 12th International Conference on Machine Learning and Applications (ICMLA 2013). Miami, Florida, USA: IEEE.. (2013).
Context sensitive reward shaping for sparse interaction multi-agent systems. Accepted for publication in the Knowledge Engineering Review.. (2013).
Designing multi-objective multi-armed bandits algorithms: a study. . In 25th Benelux Conference on Artificial Intelligence. . presented at the 11/2013, Delft, The Netherlands.. (2013).