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Characterisation of movement disorder in parkinson's disease using evolutionary algorithms.

, , , , , , and . GECCO (Companion), page 1479-1486. ACM, (2013)

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2015 Information Processing in Cells and Tissues (IPCAT 2015)., , , and . Biosystems, (2016)Persistent monitoring in discrete environments: Minimizing the maximum weighted latency between observations., , and . I. J. Robotics Res., 33 (1): 138-154 (2014)Robotic load balancing for mobility-on-demand systems., , , and . I. J. Robotics Res., 31 (7): 839-854 (2012)Redundancy and Computational Efficiency in Cartesian Genetic Programming., and . IEEE Trans. Evolutionary Computation, 10 (2): 167-174 (2006)Evolving Classifiers to Recognize the Movement Characteristics of Parkinson's Disease Patients., , , , , , and . IEEE Trans. Evolutionary Computation, 18 (4): 559-576 (2014)Benefits of Employing an Implicit Context Representation on Hardware Geometry of CGP., , and . ICES, volume 3637 of Lecture Notes in Computer Science, page 143-154. Springer, (2005)Medical Applications of Evolutionary Computation.. GECCO (Companion), page 765-793. ACM, (2016)Classification of resting-state fMRI for olfactory dysfunction in parkinson's disease using evolutionary algorithms., and . GECCO (Companion), page 264-265. ACM, (2018)Going through directional changes: evolving human movement classifiers using an event based encoding., , , , and . GECCO (Companion), page 1365-1371. ACM, (2017)Dynamic Vehicle Routing for Translating Demands: Stability Analysis and Receding-Horizon Policies., , , and . IEEE Trans. Automat. Contr., 55 (11): 2554-2569 (2010)