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Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model.

, , , and . IEEE Trans. Software Eng., 35 (1): 124-137 (2009)

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Underwater channel estimation and multiple object tracking using embedded computing., , , , , , and . MWSCAS, page 188-191. IEEE, (2017)FPGA-based discrete ambiguity function for stochastic linear time-variant channels., , , and . MWSCAS, page 836-839. IEEE, (2012)An address generator approach to the hardware implementation of a scalable Pease FFT core., , , and . MWSCAS, page 832-835. IEEE, (2012)Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model., , , and . IEEE Trans. Software Eng., 35 (1): 124-137 (2009)Inference in hybrid Bayesian networks using dynamic discretization., , and . Stat. Comput., 17 (3): 219-233 (2007)Some examples of inverse problems in geophysics., and . EUSIPCO, page 1-4. IEEE, (1998)Modeling Dependable Systems using Hybrid Bayesian Networks., , , , and . ARES, page 817-823. IEEE Computer Society, (2006)Small perturbations in a hyperbolic stochastic partial differential equation, and . Stochastic Processes and their Applications, 68 (1): 133--154 (May 30, 1997)On the Accuracy of Representing Heartbeats with Hermite Basis Functions., , , and . BIOSIGNALS, page 338-341. SciTePress, (2013)Improvement of Visual Perception in Humanoid Robots Using Heterogeneous Architectures for Autonomous Applications., , , , and . WEA, volume 1431 of Communications in Computer and Information Science, page 447-458. Springer, (2021)