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ENISI SDE: A New Web-Based Tool for Modeling Stochastic Processes.

, , , , and . IEEE/ACM Trans. Comput. Biology Bioinform., 12 (2): 289-297 (2015)

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Reducing the number of mobile sensors for coverage tasks., , , and . IROS, page 1426-1431. IEEE, (2005)Deployment Strategy for Mobile Robots with Energy and Timing Constraints., , , and . ICRA, page 2816-2821. IEEE, (2005)Supervised learning methods in modeling of CD4+ T cell heterogeneity., , , , , , and . BioData Min., (2015)Energy-efficient Mobile Robot Exploration., , , and . ICRA, page 505-511. IEEE, (2006)Deployment of mobile robots with energy and timing constraints., , , and . IEEE Trans. Robotics, 22 (3): 507-522 (2006)ENISI SDE: A New Web-Based Tool for Modeling Stochastic Processes., , , , and . IEEE/ACM Trans. Comput. Biology Bioinform., 12 (2): 289-297 (2015)Neural network models for classifying immune cell subsets., , , , and . BIBM, page 5-11. IEEE Computer Society, (2013)Humanoid trajectory generation: an iterative approach based on movement and angular momentum criteria., , and . Humanoids, page 576-591. IEEE, (2004)ENISI MSM: A novel multi-scale modeling platform for computational immunology., , , , , , , and . BIBM, page 391-396. IEEE Computer Society, (2014)Systems Modeling of Molecular Mechanisms Controlling Cytokine-driven CD4+ T Cell Differentiation and Phenotype Plasticity., , , , , , , , , and 5 other author(s). PLoS Computational Biology, (2013)